Job Board

Software Engineer, Backend

Sea Group is seeking backend engineers to join Sea AI Lab (SAIL). A backend engineer in SAIL is responsible for designing and implementing software and infrastructure with high-standard engineering practices that accelerates the research of all research projects in the labs. To learn more about our research and our lab, please visit https://sail.sea.com/.

Job Description:
- Build cutting-edge platforms and infrastructure required for a variety of research projects.
- Optimize computing platforms to support running tasks with different scales on the cloud.
- Write code that follows best engineering practices and solves difficult technical problems.
- Collaborate with both research scientists and research engineers to explore, design and implement the next generation of our AI platforms.

Job Requirements:
- Passionate about coding and programming, innovation, and solving challenging problems.
- Strong programming skills in Python, C/C++, Go, etc.
- Bachelor's degree or higher in Computer Science or related fields.
(Preferred) With experience in one of the following fields: kubernetes, distributed system or GPU programming.
(Preferred) Interest in machine learning.

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Research Intern

Sea group is seeking research interns to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, reinforcement learning, computer vision, natural language processing, etc. Our research interns have an opportunity to make core algorithmic advances and apply their ideas at the core research projects at SAIL. This internship has a minimum 6-month duration. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); decision making in a complex and realistic environment; neuroscience-inspired AI; trustworthy AI and theoretical foundations;
- Collaborate on large projects that are strategically prioritized by the SAIL;

Job Requirements:
- Currently has, or is in the process of obtaining, a PhD degree in computer science or related field.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Publications or experience in machine learning, AI, computer vision, optimization or data sciences.
- Experience in utilizing theoretical and empirical approaches to solve problems.
- Ability to communicate complex research in a clear, precise, and actionable manner.
- Experiment building systems based on deep learning methods
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Research Intern (Audio)

Sea group is seeking research interns to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, reinforcement learning, computer vision, natural language processing, etc. Our research interns have an opportunity to make core algorithmic advances and apply their ideas at the core research projects at SAIL. This internship has a minimum 6-month duration. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research in speech/music, such as speech synthesis, music generation, and audio-driven talking face generation;
- Develop cutting-edge speech and music techniques with deep learning and transfer them into demos and products that solve real-world problems;
- Collaborate on large projects that are strategically prioritized by the SAIL;
- Publish influential research work on top conferences and journals.

Job Requirements:
- Currently has, or is in the process of obtaining, a PhD or Master degree in Computer Science or AI-related field (not necessarily in the field of speech, NLP or CV also welcomed);
- Strong programming skills in Python and experienced in deep learning frameworks, e.g., TensorFlow, PyTorch;
(Preferred) Familiar with famous models in speech/music fields, e.g., FastSpeech, WaveNet, HiFi-GAN and music Transformer;
(Preferred) An active contributor on open source speech/music/audio projects;
(Preferred) Publications on AI conferences and journals;
(Preferred) Medals in programming competitions like ACM-ICPC regional contests.

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Research Intern (CV, 3D)

Sea group is seeking research interns to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, reinforcement learning, computer vision, natural language processing, etc. Our research interns have an opportunity to make core algorithmic advances and apply their ideas at the core research projects at SAIL. This internship has a minimum 6-month duration. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research in Computer Vision, in particular 3D Human Modeling and Reconstruction
- Develop cutting-edge Computer Vision techniques with Deep Learning and transfer them into Demos that solve real-world problems
- Collaborate on large projects that are strategically prioritized by the SAIL
- Publish influential research work on top conferences and journals

Job Requirements:
- Currently has, or is in the process of obtaining, a PhD degree in computer science or related field.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Publications or experience in computer vision, deep learning, and computer graphics
- Proficient in Python Programming and PyTorch
(Preferred) Experience with CUDA Programming

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Head of NLP

Sea group is seeking an area director for Natural Language Processing to join Sea AI Lab (SAIL). The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in the Natural Language Understanding area. To learn more about our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research on Natural Language Understanding, and/or Multi-Modality Artificial Intelligence, with long-term ambitious goals;
- Capabilities to shape and lead moon-shot projects;
- Publish influential research work on top conferences and journals;
- Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements:
- Work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
- Hold a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
- Track record of high impact research (e.g. multiple papers with 1000+ citations);
(Preferred) Received best paper or equivalent awards in the aforementioned conferences;
(Preferred) Winner of international academic competitions.

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Head of ML

Sea group is seeking an area director for Machine Learning to join Sea AI Lab (SAIL). The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in the Machine Learning area. To learn more about our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research on Machine Learning, and/or interdisciplinary research on AI for sciences, with long-term ambitious goals;
- Capabilities to shape and lead moon-shot projects;
- Publish influential research work on top conferences and journals;
- Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements:
- Work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
- Hold a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
- Track record of high impact research (e.g. multiple papers with 1000+ citations);
(Preferred) Received best paper or equivalent awards in the aforementioned conferences;
(Preferred) Winner of international academic competitions.

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Head of CV

Sea group is seeking an area director for Computer Vision to join Sea AI Lab (SAIL). The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in the computer vision area. To learn more about our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research on Computer Vision, and/or Multi-Modality Artificial Intelligence, with long-term ambitious goals;
- Capabilities to shape and lead moon-shot projects;
- Publish influential research work on top conferences and journals;
- Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements:
- Work experience in a university, industry or government lab(s), in a role with primary emphasis on AI research;
- Hold a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
- Track record of high impact research (e.g. multiple papers with 1000+ citations);
(Preferred) Received best paper or equivalent awards in the aforementioned conferences;
(Preferred) Winner of international academic competitions.

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Start-up in stealth mode looking for computer vision scientists and data scientists

We are working in the cross-secation of web3 and AI. We are working on being the the authenticity layer for web3.

Looking for candidates with skills in:
- Image matching and image analysis
- Synthetic content generation using
- style-gans
- generative gans
- Familiarity with:
- Developing and designing algorithms in deep learning and computer vision

More info | Contact: Ryan McHale | Posted on: 2022-08-24

PhD in Computer Vision for Video Understanding

Do you want to advance the state-of-the-art research in computer vision research for video recognition and understanding? Video and its fundamental tasks such as segmentation and tracking are currently among the most important components of robotic applications, such as self-driving cars, security or healthcare. However, learning these tasks typically requires huge amounts of data, especially when relying on data-hungry deep neural networks. In this project, you will first build efficient techniques for scaling up the annotation of objects in videos and then, you will advance the capabilities of state-of-the-art video segmentation models towards deeper video understanding.

The Section for Visual Computing at the Technical University of Denmark (DTU) invites applications for a fully-funded 3-year PhD position starting in September 2022 (or as soon as possible thereafter). This PhD will be a collaboration between DTU Compute and the Computer Science Laboratory (LIX) at École Polytechnique, Paris, France. The PhD will be mainly located at DTU in Lyngby, Copenhagen, Denmark but also be expected to spend a few months during the program in Paris, France. The PhD project will be co-supervised by Assistant Professor Dimitrios Papadopoulos from the Section of Visual Computing at DTU Compute, Lyngby, Copenhagen, Denmark and Assistant Professor Vicky Kalogeiton from LIX, École Polytechnique, Paris, France.

Qualifications
Candidates should have the following required skills:
- A master’s degree (120 ECTS points) or a similar in Computer Science, Informatics, Computer Engineering, Applied Mathematics or equivalent
- Proven experience in Python
- Hands-on experience with deep learning frameworks
- High level of motivation and innovation
- Experience in computer vision is a plus
- Excellent written and communication skills in English

More info | Contact: Dimitrios Papadopoulos | Posted on: 2022-08-24

Software Engineer, Sensor Fusion & State Estimation

Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a sensor fusion and state estimation engineer --- a problem solver with solid expertise in sensor fusion, state estimation, target tracking, and uncertainty modelling. Your skills will be put to work across the stack including perception, scene understanding, pose estimation, and navigation.

In this role, you will:

* Develop and integrate onboard sensor fusion algorithms.
* Use principled approaches for fusing information from multiple modalities: camera, radar, lidar, thermal, and IMU.
* Develop fusion engines including early and late fusion.
* Improve multi-target tracking performance including track initiation, measurement to track association, and track state maintenance.
* Develop tooling, metrics, and visualization to verify sensor fusion performance.
* Troubleshoot, problem solve, innovate, create, and collaborate.

Preferred Qualifications:

* Strong technical background. BS, MS or PhD with academic or industry experience in building state estimation and sensor fusion architectures.
* Domain Expertise. Topics of interest include sensor fusion, Kalman filtering, particle filtering, bayesian estimation, data association, multi-target tracking, neural nets, behavioral prediction, localization and mapping.
* Skilled in C++ and strong problem-solving skills.
* Strong software engineering skills and experience building high-reliability deployed applications . You write well-designed, highly maintainable code. Code is your craft.
* Solid understanding of metrics, data analysis, and scientific evaluation.
* A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
* Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in defining and building lasting infrastructure components from scratch.
* Hands on. Curious. Flexible. Interested in new domains to expand your horizons and provide a complete system wide solution.
* Great communicator. You have experience writing clear, concise design documentation to gather feedback from across the team to find the best solution.

What we can offer:

* A place with big goals that we trust we can achieve
* A fast paced environment where we work with talented, committed and supportive teammates
* Equity and competitive pay; every employee is a stakeholder in Kodiak’s success
* Excellent medical, dental and vision benefits
* Flexible PTO and generous parental leave policies
* A beautiful facility in Mountain View
* We love our dogs, so we are a dog friendly office!
* Free catered lunch.

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

Check out our website: www.kodiak.ai

More info | Contact: Adam Bundy | Posted on: 2022-08-24

Staff Software Engineer, Perception

Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled Software Engineer with a focus on Perception to join us and solve real-world robotics problems.

In this role, you will:
Be responsible for designing perception algorithms and implementing them in robust, efficient, and well-tested C++ code.
Solve real-world perception challenges such as lane detection, object detection and classification, tracking, sensor fusion, localization, mapping, or sensor calibration.
Integrate both novel and well-established techniques such as deep neural networks, decision trees, Kalman and particle filters, or point cloud processing on camera, laser, radar, and ultrasound data.
Collaborate closely with other experts on the team, including the planning and systems engineering team.

Qualifications:
Strong technical background. BS, MS or PhD with 5+ years of industry experience in designing and implementing perception algorithms. You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. Prior knowledge of working with deep neural networks is a strong plus.
A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
Hands on. You dig deep into important details such as the sensor driver if it improves the overall system. You like working with production machine learning pipelines, from dataset collection and labeling to training and validation.
Great communicator. You have experience writing clear, concise, and detailed documentation.

What we offer:
A place with big goals that we trust we can achieve.
A fast paced environment where we work with talented, committed and supportive teammates.
Equity and competitive pay. Every employee is a stakeholder in Kodiak’s success.
Excellent medical, dental and vision benefits.
Flexible PTO and generous parental leave policies.
A beautiful facility in Mountain View.
We love our dogs, so we are a dog friendly office!
Free catered lunch

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

More info | Contact: Adam Bundy | Posted on: 2022-08-24

Software Engineer, Deep Learning for Computer Vision

Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems.

In this role, you will:

* Be responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code.
* Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning.
* Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning.
* Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset.
* Collaborate closely with other experts on the team, including the planning and systems engineering team.

Qualifications:

* Strong technical background. BS, MS or PhD with academic or industry experience in designing and implementing deep neural networks. You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud.
* A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
* Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
* Hands on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset collection and labeling to training and validation.
* Great communicator. You have experience writing clear, concise, and detailed documentation. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems.

Benefits:

* A place with big goals that we trust we can achieve.
* A fast paced environment where we work with talented, committed and supportive teammates.
* Equity and competitive pay. Every employee is a stakeholder in Kodiak’s success.
* Excellent medical, dental and vision benefits.
* Flexible PTO and generous parental leave policies.
* A beautiful facility in Mountain View.
* We love our dogs, so we are a dog friendly office!
* Free catered Lunch

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

Check out our website: www.kodiak.ai

More info | Contact: Adam Bundy | Posted on: 2022-08-24

Research Engineer (Computer Vision)

Reality Defender seeks computer vision research engineers to join the R&D team. You’d work on product-oriented research for synthetic (deep fake) image and video detection, and tackle cutting-edge deep learning and computer vision problems with an emphasis on classification and adversarial methods.

Responsibilities
-Develop and train deep learning models for classification problems
-Propose and publish novel solutions to improve synthetic image and video detection
-Collaborate with fellow scientist and engineers across the organization

About You
-You have academic or industry experience with: (1) Neural networks - CNNs, ViTs, sequence modeling (2) Deep generative learning, esp. for image generation (3) Image classification, ensemble modeling, transfer learning (4) Familiarity with image compression, video codecs, and image forensics.
-You have implemented, published and want to publish research works at top computer vision research venues CVPR, ICCV, ECCV, etc.
-You can independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).
-Team player with a positive attitude, sincerity, and good communication skills.
-Nice to have: You ideally hold an MS, or PhD degree in Computer Science, Data Science, or equivalent experience.

More info | Contact: James Ostrowski | Posted on: 2022-08-24

Research Engineer (Audio)

Reality Defender seeks audio researcher engineers to join the R&D team. You’d work on product-oriented research for synthetic (deepfake) audio detection, and tackle cutting-edge deep learning and audio problems with an emphasis on classification and adversarial methods.

Responsibilities
-Develop and train deep learning models for classification problems.
-Propose and publish novel solutions to improve synthetic audio detection.
-Collaborate with fellow scientist and engineers across the organization.

About You
-Experience (academic or industry) with Audio Synthesis, Deep Learning, and Signal Processing for (1) Neural networks CNNs, RNNs, Autoencoders, etc., and transfer learning, (2) Generative deep learning method, esp. for audio synthesis, (3) Audio classification, and signal processing techniques.
-You can independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).
-You have implemented or published research papers from/at top academic conferences, such as InterSpeech, ICASSP, etc. on a modern deep learning stack for voice synthesis applications.
-Team player with a positive attitude, sincerity, and good communication skills.
-Nice to have: You ideally hold an MS, or PhD degree in Computer Science, Data Science, or equivalent experience.

More info | Contact: James Ostrowski | Posted on: 2022-08-24

Data Engineer

Reality Defender is a rapidly growing technology startup building the future of deepfake detection technology.

Reality Defender seeks a data engineer. You’d work on product-oriented dataset for synthetic (deep-fake) media (image, video, audio) detection and tackle cutting-edge deep learning, audio and computer vision data problems with an emphasis on classification and adversarial methods.

Responsibilities
-Build scalable datasets and their delivery pipelines
-Closely interface with R&D team for machine (deep) learning model training and evaluation
-Build data collection and processing pipelines
-Develop at-scale data extraction, cleaning, and labeling, including human annotation methodology
-Methodology to ingest new (image, video, audio) datasets -- research-based, and commercial
-Define metrics for dataset imbalance, visualization, and data sampling
-Automate data quality control and content moderation

Qualifications
-Proficient in software development, esp. Python
-Interest in data exploration, visualization, cleaning, and analytics for real-world data modelingFamiliarity with audio and video file formats, and codecs
-Solid understanding of linear algebra, statistics and ML concepts
-Experience working with very large databases and data analysis tools/libraries, for example, SQL, Pandas, etc.
-Smart, driven, and passionate about helping Reality Defender change the world
-Team player with a positive attitude, sincerity, and good communication skills

More info | Contact: James Ostrowski | Posted on: 2022-08-24

Software Engineer, Perception

Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled Software Engineer with a focus on Perception to join us and solve real-world robotics problems.

In this role, you will:

* Be responsible for designing perception algorithms and implementing them in robust, efficient, and well-tested C++ code.
* Solve real-world perception challenges such as lane detection, object detection and classification, tracking, sensor fusion, localization, mapping, or sensor calibration.
* Integrate both novel and well-established techniques such as deep neural networks, decision trees, Kalman and particle filters, or point cloud processing on camera, laser, radar, and ultrasound data.
* Collaborate closely with other experts on the team, including the planning and systems engineering team.

Qualifications:

* Strong technical background. BS, MS or PhD with 2+ years of academic or industry experience in designing and implementing perception algorithms. * You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. Prior knowledge of working with deep neural networks is a strong plus.
* A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
* Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
* Hands on. You dig deep into important details such as the sensor driver if it improves the overall system. You like working with production machine learning pipelines, from dataset collection and labeling to training and validation.
* Great communicator. You have experience writing clear, concise, and detailed documentation.

What we offer:

* A place with big goals that we trust we can achieve.
* A fast paced environment where we work with talented, committed and supportive teammates.
* Equity and competitive pay. Every employee is a stakeholder in Kodiak’s success.
* Excellent medical, dental and vision benefits.
* Flexible PTO and generous parental leave policies.
* A beautiful facility in Mountain View.
* We love our dogs, so we are a dog friendly office!
* Free catered lunch.

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

More info | Contact: Adam Bundy | Posted on: 2022-08-24

Start-up in stealth mode looking for computer vision scientists and data scientists

We are working in the cross-secation of web3 and AI. We are working on being the the authenticity layer for web3.

Looking for candidates with skills in:
- Image matching and image analysis
- Synthetic content generation using
- style-gans
- generative gans
- Familiarity with:
- Developing and designing algorithms in deep learning and computer vision

More info | Contact: Ryan McHale | Posted on: 2022-08-24

Start-up in stealth mode looking for computer vision scientists and data scientists

We are working in the cross-secation of web3 and AI. We are working on being the the authenticity layer for web3.

Looking for candidates with skills in:
- Image matching and image analysis
- Synthetic content generation using
- style-gans
- generative gans
- Familiarity with:
- Developing and designing algorithms in deep learning and computer vision

More info | Contact: Ryan McHale | Posted on: 2022-08-24

Computer Vision Software Engineer, Full Time

Job Requisition ID: 3036991

Summary:
Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision or Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone and Extended Reality.

The candidate should bring a deep understanding in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python, C/C++ or OpenGL programming. The selected candidate will have responsibilities in one or more of the following areas:
• Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality. This includes but not limited to facial animation, image restoration, image super-resolution, multi-view 3D reconstruction and hair simulation.
• Prototype solutions on mobile platforms for proof of concept and demonstration purposes, such as mode training and testing, model quantization, C/C++ simulation implementation.
• Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.

Must have Qualifications
• 2+ years of experience in computer deep learning software development for applications like Computer Vision or Computer Graphics.
• 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
• Solid Background in Computer Vision or Computer Graphics, Deep Learning, and Linear Algebra
• Knowledge how to handle various 3D Data representations like meshes (Raw/Retopologized), Point Clouds and UV Maps.
• Proficiency in C/C++, OpenGL, Python, Pytorch programming.
• Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.
• Excellent English communication skills.

More details can be found at https://qualcomm.wd5.myworkdayjobs.com/External/job/Hsinchu-City-TWN/Co…

More info | Contact: Andy Huang | Posted on: 2022-08-24

Machine Learning Research Engineer, Full Time

Job Requisition ID: 3010235

General Summary:
Creates advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime frameworks or model efficiency software tools with new features and optimizations. Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions. These enable the discovery and improvement of state-of-the-art machine learning solutions that has general applicability at functional platform level towards audio, camera, graphics, video, sensors, wireless, and other functionality over various operating systems running on ARM processors and other embedded hardware like DSP/NSP processors, GPU processors that are embedded into mobile, edge, auto, and IOT products, or on data center based systems such as GPUs or dedicated AI hardware. Develops optimized software to enable AI models efficiently deployed on hardware, such as machine learning kernels, compiler tools, or model efficiency tools, to make sure of specific hardware features, and/or working closely with hardware teams for joint design and development. Works with and/or optimize machine learning software frameworks like TensorFlow or PyTorch to efficiently run machine learning algorithms on hardware.

Preferred Qualifications:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 1+ year of experience working in a large matrixed organization.

More details can be found at https://qualcomm.wd5.myworkdayjobs.com/External/job/Shanghai-CHN/Machin…

More info | Contact: Xuan Zou | Posted on: 2022-08-24

Embedded Engineer for Computer Vision and Extended Reality (m/f/w), Full Time

Job Requisition ID:3034490

Summary:
Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision or Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone and Extended Reality.

The candidate should bring a deep understanding in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python, C/C++ or OpenGL programming. The selected candidate will have responsibilities in one or more of the following areas:
• Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality. This includes but not limited to facial animation, image restoration, image super-resolution, multi-view 3D reconstruction and hair simulation.
• Prototype solutions on mobile platforms for proof of concept and demonstration purposes, such as mode training and testing, model quantization, C/C++ simulation implementation.
• Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.

Must have Qualifications:
• Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.
• 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics.
• 5+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
• Solid Background in Computer Vision or Computer Graphics.
• Knowledge how to handle various 3D Data representations like meshes (Raw/Retopologized), Point Clouds and UV Maps.
• Solid background in machine/deep learning fundamental knowledges and mathematics.
• Academic publications in computer vision research at top conferences and journals (PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, ICML, etc.)
• Proficiency in C/C++, OpenGL, or Python programming.

More details can be found at: https://qualcomm.wd5.myworkdayjobs.com/en-US/External/job/Embedded-Engi…

More info | Contact: Michel Sarkis | Posted on: 2022-08-24

Computer vision R&D engineer, Full Time

Job requisition id: 3038075

Summary:
Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision or Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone and Extended Reality.

The candidate should bring a deep understanding in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python, C/C++ or OpenGL programming. The selected candidate will have responsibilities in one or more of the following areas:
• Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality. This includes but not limited to facial animation, image restoration, image super-resolution, multi-view 3D reconstruction and hair simulation.
• Prototype solutions on mobile platforms for proof of concept and demonstration purposes, such as mode training and testing, model quantization, C/C++ simulation implementation.
• Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.

Must have Qualifications:
• Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.
• 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics.
• 5+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
• Solid Background in Computer Vision or Computer Graphics.
• Knowledge how to handle various 3D Data representations like meshes (Raw/Retopologized), Point Clouds and UV Maps.
• Solid background in machine/deep learning fundamental knowledges and mathematics.
• Academic publications in computer vision research at top conferences and journals (PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, ICML, etc.)

More details can be found at https://qualcomm.wd5.myworkdayjobs.com/External/job/San-Diego-USA/Compu…

More info | Contact: Dashan Gao | Posted on: 2022-08-24

AI Scientist, AI Engineer, Research Scientist and Post-Doctoral Associate in the Center for Artificial Intelligence and Robotics and NYU Multimedia and Visual Computing Lab

AI and Robotics Researcher Positions at NYU Abu Dhabi

Project: Environment Perception, Distributed Simultaneous Localization and Mapping, 3D Scene Understanding and Robot Learning by Demonstration

Position Description: The Center for Artificial Intelligence and Robotics (CAIR) and NYU Multimedia and Visual Computing (MMVC
) Lab at New York University Abu Dhabi invites applicants to apply for the open Postdoc associate, AI scientist, research scientist and AI Engineer positions in the Project Environment Perception, Distributed Simultaneous Localization and Mapping, 3D Scene Understanding and Robot Learning by Demonstration.

CAIR and MMVC invite qualified applicants with a doctorate degree in the areas of electrical, or computer, or mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Simultaneous Localization and Mapping (SLAM), Computer vision, Deep learning, Sensor fusion, Autonomous Robots, and Embedded systems development is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly collaborative multi-disciplinary environment with other post-doctoral associates, PhD and undergraduate students, as well as faculty members. It is expected that applicants have a strong publication record in the aforementioned areas. The applicants are also expected to have strong analytical, communication, and writing skills.

The successful applicant will work on several projects including development of distributed SLAM systems and related technologies. This will include development of distributed environment perception, sensor fusion, 3D modeling, and SLAM algorithms enabling autonomous agents to operate in unknown dynamic environments. As part of this work, the successful applicant will work on sensor data processing and data fusion, 3D scene understanding, semantic feature extraction and semantic SLAM, multi-robot distributed SLAM, hardware-aware energy-efficient implementation, and navigation and path planning in complex dynamic uncertain environments. The algorithmic development will need to take into account various uncertainties and possible adversarial elements wherein some agents in a swarm have been modified by an adversary. The work will include algorithm design, prototype implementation (e.g., in Matlab/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms).

A solid competency with the standard implementation tools used in autonomous robots and embedded systems (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Ardupilot, Solidworks, Gazebo Physics Engine Simulator) is required.

The terms of employment are very competitive and include housing and educational subsidies for children. UAE does not does not levy income tax. Applications will be accepted immediately and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Professor Yi Fang at yfang@nyu.edu.

About CAIR: The Center for Artificial Intelligence and Robotics (CAIR) is a leading research center led by Profs. Tzes, Khorrami, and LeCun as Director and Co-Directors, respectively. Its mission is to develop cutting edge technologies in robotics and AI (Autonomous Robots, SLAM, Navigation, Perception, Human-Brain Interface, Deep Learning and their Security, etc.). CAIR has state of the art autonomous unmanned vehicles (aerial, ground, legged, and underwater) robotic systems experimental facilities. There are significant collaborations among faculty at NYU Abu Dhabi and New York in creation and activities of CAIR.

About MMVC: Coupled with New York University’s mission to become a fully connected global network university, faculty from NYU New York and Abu Dhabi created NYU Multimedia and Visual Computing Lab as an intellectual hub for faculty, researchers and students from both New York and Abu Dhabi campuses, who come together to study and address the key challenges in multimedia and visual data processing. With the advancement in data acquisition techniques, we have observed an exponential increase of visual data that present in different domains and modalities, such as, 2D images, 2D videos, 2D sketches, 2.5D depth images, 3D point cloud, 3D meshed surface and so on. We are, therefore, faced with an ever-increasing demand for approaches towards automatic visual data processing, understanding and analysis. Visual data are often featured with high complexity, subject to large structural variations, intrinsic imprecision and ambiguity, and exhibit heavy noise and incompleteness. For instance, a car built by different manufactures is likely to be significantly distinct in 3D shape representation; a building viewed from different view angles is likely to be distinct in 2D view representation; and a horse sketched by different individuals with experiential and cognitive difference is likely to be distinct in sketch representation.

About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

Location Abu Dhabi, United Arab Emirates

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer and UAE Nationals are encouraged to apply.

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

More info | Contact: Yi Fang | Posted on: 2022-08-24

Research Engineer

Sea group is seeking research engineers to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, reinforcement learning, computer vision, natural language processing, etc. A research engineer will collaborate closely with research scientists on research projects, where the team proposes new ideas, develop prototypes and conduct experiments. A research engineer will focus on complex algorithm implementation and scale up of the models. We are hiring at all levels. To learn more about our research and our lab, please visit https://sail.sea.com/

Job Description:
- Collaborate with research scientists at the implementation and optimization of the research code;
- Scale up deep learning models via distributed computing;
- Develop reusable libraries for research and engineering projects;
- Develop and optimize code for potential product applications;
- General engineering support for the research team;
Interact with broader open-sourced community on AI fields;

Job Requirements:
- Bachelor's degree or higher (PhD is preferred) in AI related fields;
- Strong programming skills in Python, C/C++, etc;
- Experienced in deep learning frameworks, e.g., TensorFlow, PyTorch, JAX;
- Experienced in development tools including version control systems, build systems, code review tools, etc;
- (Preferred) Academic or industry expertise (3+ years) in one or more related areas;
- (Preferred) An active contributor on open source projects;
- (Preferred) Publications on AI conferences and journals;
- (Preferred) Medals in programming competitions like ACM-ICPC regional contests.

More info | Contact: Michelle Phua | Posted on: 2022-08-24

Research Scientist

Sea group is seeking research scientists to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, reinforcement learning, computer vision, natural language processing, etc. The role of a research scientist is to design novel models and propose new general-purpose algorithms that help machines perceive, think, and act in the world. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

Job Description:
- Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); decision making in a complex and realistic environment; neuroscience-inspired AI; trustworthy AI and theoretical foundations;
- Research on long-term ambitious goals, while laying out intermediate milestones;
- Publish influential research work on top conferences and journals;
- Collaborate on large projects that are strategically prioritized by the SAIL;

Job Requirements:
- Work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
- Hold a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
- (Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
- (Preferred) Received best paper or equivalent awards in the aforementioned conferences;
- (Preferred) Winner of international academic competitions.

More info | Contact: Michelle Phua | Posted on: 2022-08-24