Machine Learning Engineer MLR
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
27-10-2025
Vacancies:
1 Vacancy
Job Summary
You will propose and co-develop innovative research in the areas of Multimodal LLMs and AI Agents execute it through implementation and experimentation in collaboration with other researchers and engineers. The research questions revolve around modeling and data decisions that enable strong reasoning and planning capabilities in Multimodal LLMs in particular and Foundation Models in general; techniques and methods of enabling interactive and embodied applications of such models towards AI Agents. Work will involve hands-on rapid prototyping of ideas and use of scalable distributed compute. You will work closely with both researchers but also potentially product partners resulting in publications as well as prototypes for internal product efforts.
- PhD MS or equivalent in Computer Science Engineering or equivalent; strong mathematical skills in linear algebra and statistics.
- Demonstrated expertise in Machine Learning or Computer Vision;
- Publication record in relevant conferences (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV CoRL etc).
- Hands-on experience working with deep learning toolkits such as Jax or PyTorch.
- Strong passion for systems-based and mission-driven research with focus on execution and velocity.
- Ability to formulate a research problem design experiment implement and communicate solutions.
- Ability to work in a diverse collaborative environment as part of larger projects.
- Expertise in Foundational Models and/or Reinforcement Learning.
- Experience with Scalable ML Systems and Frameworks.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
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