Research Scientist - Machine Learning
Leads research in machine learning, robotics, and AI for autonomous systems, including perception, modeling, and inference. Requires PhD in related field, real-world data experience, and publications in top conferences.
About the job
Responsibilities
- Leading research contributing to the development of humanistic AI for autonomous systems
- Conducting research in Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas
- Collaborating with engineering and business teams to develop novel solutions to real-world problems
- Designing experiments and metrics for benchmarking results
- Publishing research in top-tier conferences and journals
Qualifications
- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field
- Passionate about self-driving vehicles and real-world robotics solutions
- Experience collecting, processing, and analyzing real-world data
- Strong presentation and communication skills
Recommended
- Publication record in top-tier conferences in Robotics and related fields
- Programming experience, ideally with Python and/or C++
- Robotics experience
Skills
Machine Learning, Robotics, Artificial Intelligence, Python, C++, Probabilistic Modeling, Perception, Simulation, Applied Mathematics, Statistics
Similar jobs
AI Research jobsConduct applied research on AI agents, designing experiments and evaluation systems to improve reliability, context retention, and multi-step task completion. The role requires strong AI/ML research, engineering, experimental design, and communication skills.
Research Engineer building large-scale AI capability evaluations, telemetry, data pipelines, and analysis tools for Anthropic’s Takeoff Intel team. The role requires hands-on large language model experimentation, rapid prototyping, data expertise, and strong research collaboration.
Conduct applied research on foundation models for fraud detection using large-scale behavioral and financial-risk data. The role spans experimentation, evaluation, production deployment, and cross-functional work on model governance, requiring 4+ years of applied ML experience and strong Python and SQL skills.
Researcher or engineer focused on designing, evaluating, and productionizing oversight systems and safety mitigations for autonomous AI agents. The role requires strong systems or security reasoning, threat-modeling ability, and experience building practical evaluations and controls.
Researcher focused on training and evaluating frontier AI agents, mining incidents, and building scalable safety measurement systems. The role requires strong research or ML engineering execution, quantitative judgment, and the ability to own ambiguous projects end to end.