Applied Machine Learning Research Engineer (Multimodal Human Understanding)

Quick Facts

• Role: Applied Machine Learning Research Engineer (Multimodal Human Understanding)

• Focus: Multimodal AI and computer vision for human understanding

Description

You will drive development at the intersection of AI, generative modeling, and computer vision. Work across the full lifecycle—from foundational investigation to practical applications—designing, implementing, and evaluating novel algorithms and models. The primary focus is human understanding, including human motion, activities, and representation learning, with the goal of productizing ML systems.

Responsibilities

• Design, implement, evaluate, and productize ML systems for human and activity understanding

• Develop and validate novel algorithms and models from research through deployment

• Collaborate with research scientists, ML and software engineers, data scientists, and domain experts

Requirements

• Strong experience developing machine learning models

• Proficiency in Python and solid software engineering fundamentals

• Experience with at least one deep learning framework (e.g., PyTorch, JAX, or equivalent)

• Master’s degree in Computer Science (or related field) plus 3 years of relevant industry experience

Benefits

• Opportunity to innovate, build, and ship models that reach millions of users

• Environment that values experimentation, ownership, and continuous learning

• Direct impact on user experience and the evolution of AI-enabled product features