Applied Machine Learning Research Engineer, Multimodal for Human Understanding

What you'll do

• Design, implement, and evaluate novel algorithms and models for human motion and activity understanding.
• Develop and productize machine learning systems capable of advanced human and activity representation learning.
• Drive the development of multimodal foundation models and generative modeling at the intersection of AI and computer vision.
• Manage the full lifecycle of ML projects from foundational research to practical, production-ready applications.
• Build and ship high-quality features for products that reach millions of users worldwide.
• Implement and optimize machine learning models using frameworks like PyTorch or JAX.
• Develop production-grade software using Python and compiled languages such as Swift or C++.

What we're looking for

• Master's degree in Computer Science or a related field.
• 3 years of relevant industry experience.
• Strong experience developing machine learning models.
• Proficiency in Python and solid software engineering fundamentals.
• Experience with at least one deep learning framework such as PyTorch or JAX.
• Hands-on experience training and deploying production-grade ML models (preferred).
• Experience developing multimodal LLMs or generative models (preferred).
• Production-level experience with a compiled language like Swift or C++ (preferred).
• PhD in Computer Science, Electrical Engineering, or a related field focusing on CV, ML, or multimodal systems (preferred).