Los Altos, CA

Our Machine Learning (ML) team is looking for Research Scientists with a focus on Natural Language Processing, Computer Vision and Multi-Modal Foundation Models. We are aspiring to make progress on some of the hardest scientific challenges around the safe and effective usage of large robotic fleets, simulation, and prior knowledge (physics, domain knowledge, behavioral science), not only for automation but also for human augmentation.

As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring pioneering research in Machine Learning. You will use large amounts of sensory data and simulation to solve open problems, publish at top academic venues, and test your ideas in the real world (including on our robots (https://www.tri.global/news/virtual-robotics-event/) of course!). You will also work closely with other teams at TRI to transfer and ship our most successful algorithms and models towards world-scale long-term autonomy and sophisticated assistance systems.

Responsibilities: - Conduct daring research primarily in Natural Language Processing, Computer Vision, Planning, Dialog, and Robotics that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems. - Push the boundaries of knowledge and the state of the art in areas including language and vision for robotics. - Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners. - Stay up to date on the state-of-the-art in Machine Learning ideas. - Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community. - Lead collaborations with our external research partners (e.g., Stanford, Berkeley, MIT) and mentor research interns. - Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering). Ph.D. in Machine Learning, Robotics, Control Theory, Computer Vision, or related fields preferred. - Expertise in at least one key ML area.

Qualifications: - Consistent track record of publishing at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, RSS, ICRA, COLT, CDC, L4DC, CVPR, ICCV, ECCV, PAMI, IJCV, etc.) on some of the aforementioned topics. - Proficiency with one or more coding languages and systems, preferably python, Unix, and a DL framework (e.g., PyTorch). - Can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution. - Passionate about ML research. - A reliable teammate who loves to think big, go deeper and delivers with integrity.

FOSTER CITY, CA

Zoox’s Machine Learning Platform team operates in the intersection of build engineering, internal software development, and applied ML research. We maintain the base layer of ML tools and deep learning frameworks used by the research teams, add additional features, tooling, automation, and applications, and improve ML models in collaboration with the applied research teams. We advocate for strong software engineering fundamentals with our customer teams. We catalogue the features, quirks, limitations, and bugs present in the systems we maintain so that we can best advise our customer teams when they encounter them.

ML Platform is looking for focused, proactive senior-to-staff software engineers. By joining our team, you will design and deliver a performant, comprehensive platform for ML research and development to our internal customers. You will improve the production deployment mechanisms used for on- and off-vehicle inference. You will work with teams from IT, build and release, and cluster management on projects to advance our mission. You will provide technical leadership to the team and mentor new hires. People management opportunities will be available as the team grows.

FOSTER CITY, CA

Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and is therefore foundational in enabling results from many other teams across Zoox. This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility.

Zoox is looking for a software engineer to help us build state-of-the-art mapping pipelines that combine data from a wide variety of sensors as well as localization algorithms that make use of these maps in real time. We're looking for an engineer with an advanced degree and experience building mapping and localization systems that work with real data in uncertain environments.

FOSTER CITY, CA

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.

The Core Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.

As a GPU performance software engineer within the Core Performance team, you will instrument, monitor, analyze and optimize GPU based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making.

FOSTER CITY, CA

Zoox is looking for a software engineer to join our Perception team and help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.

We're looking for engineers with advanced degrees and experience building perception pipelines that work with real data in rapidly changing and uncertain environments.

FOSTER CITY, CA

Decision making and motion planning are the primary responsibilities of mobile robots. Taking input from a variety of perception and localization systems, the planner's job is to figure out where the robot is going and how to get there safely. We're looking for a software engineer with an advanced degree and experience building real-time motion planning/trajectory generation algorithms for robots in uncertain environments.

FOSTER CITY, CA

The Prediction team is responsible for forecasting the future state of all the dynamic agents around our vehicle. To account for the inherent uncertainty of predicting the future, our job is to compute a probabilistic representation over the future intentions and movement of other agents. The output from our Prediction system is then tightly integrated into our Planning system to deliver a safe and comfortable ride.

FOSTER CITY, CA

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

FOSTER CITY, CA

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research in your area of expertise to create and refine key systems and move Zoox forward.

Working at a startup gives you the chance to manifest your creativity and highly impact the final product.

University of Bristol, Bristol, United Kingdom - Group of Prof Dima Damen

PhD in Machine Learning for Long-Term Video Understanding

Applications are invited, from all nationalities, for one fully funded PhD studentships in Computer Vision and Machine Learning on the topic of Long-Term Video Understanding.

The project will be around long-term video understanding - to go beyond the seconds into the minutes and hours of edited as well as unedited videos (e.g. movies as well as vlogs and videos from wearable cameras). The exact project will be decided around the student’s interests and expertise in line with myself and external collaborators from Adobe.

The successful applicant will work in a vibrant computer Machine Learning and Computer Vision lab in a highly-reputable UK university (Bristol rank 5th in Research across the UK), with more than 9 PhD students and 3 postdoctoral researchers working on closely related topics. Our group is behind the impactful datasets: EPIC-KITCHENS and the massive-scale collaboration Ego4D in addition to recent advances like EPIC-SOUNDS and EPIC-KITCHENS VISOR. For an insight into the supervisors’ current and previous works, refer to: Prof Dima Damen http://dimadamen.github.io/

Location Computer Vision Center Barcelona

Postdoc position in the LAMP group in the Computer Vision Center Barcelona. The exact subject of the postdoc can be defined between the supervisor and the candidate, but should be related with one of the following main research lines of LAMP: 1. Diffusion models for image generation 2. Continual learning of deep neural networks

Candidates should be no older than 30, and the position needs to be started before September 2023. For informal inquiries, email me (joost@cvc.uab.es).