Principal Scientist leading CDx/IVD development projects in Translational Oncology within a leading health care company. Collaborating with teams on diagnostics and biomarker strategies.
About the role
- Research Scientist in AI algorithms for humanoid robots at NVIDIA. Designing novel AI algorithms and collaborating with research teams on robotics and embodied agents.
Responsibilities
- Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;
- Develop large-scale AI training and inference methods for foundation models;
- Optimize and deploy AI models in physical simulation and on robot hardware;
- Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
Requirements
- Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
- Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.).
- Python or C++ is required; CUDA or ROS proficiencies are a plus;
- Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models.
- Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics.
- Experience across one or both of these fields: Multimodal Foundation Models.
- Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; Action-based transformers.
- Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
- Robotics Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
- Deep understanding of robot kinematics, dynamics, and sensors;
- Ability to safely operate robot hardware, lab equipment, and tools;
- Knowledge of control methods, including PID, model predictive control, and whole-body control;
- Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;
- Robot hardware design and hands-on building experience.
Benefits
- equity
- benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Research Assistant in Electrolysis at Fraunhofer Institute specializing in hydrogen technology development. Engaging in cutting - edge research and innovative projects in electrochemical processes.
Principal Scientist responsible for drug discovery activities within Small Molecule Research at Novo Nordisk. Leading assay development, managing CROs, and collaborating across teams globally.
Lead Applied Research Scientist at ILLUIN Technology transforming state - of - the - art AI into functional solutions. Combining academic excellence and startup agility in a hybrid role.
Wissenschaftlicher Mitarbeiter responsible for microbiology projects at MVZ diagnosticum GmbH. Leading teams and organizing workflows within medical laboratory environment in Neukirchen.
Associate Principal Scientist implementing Chemistry, Manufacturing, and Controls regulatory strategies for biologics products. Preparing CMC sections for submissions and mentoring scientific staff.
Principal Scientist/Director responsible for regulatory strategies for biologics products. Overseeing CMC regulatory submissions and leading cross - functional teams in compliance and submission accuracy.
Research Scientist specializing in quantum error correction at Quantinuum, developing software tools and conducting computational research with a strong emphasis on collaboration.
Research Assistant performing clinically relevant procedures for study subjects in Chula Vista, CA. Engaging in data recording, patient management, and compliance with clinical protocols.
ML Research Scientist leading transformative research in foundation models for AI in drug discovery. Collaborate with multidisciplinary teams to shape groundbreaking models and insights.