Machine Learning Engineer - Visual Agents - Special Projects
Core
Building and evaluating vision-language agents that perceive real-world scenes and incorporate visual context into conversational interactions.
Role type
Senior IC machine learning engineer (vision-language models)
Builds
Agentic vision-language models for novel conversational experiences
Domain
Consumer technology, multimodal AI, agentic systems
Deliverable
production ML models
Required skills
Vision-language models, multimodal systems, Python, PyTorch or TensorFlow, generative AI, LLM fine-tuning, statistical analysis
Preferred skills
Video understanding, temporal reasoning, agentic system design, large-scale data pipelines, foundation model evaluation, technical publications
Technologies
PyTorch, TensorFlow, LLMs, VLMs
Responsibilities
Build and evaluate vision-language agents, curate and annotate multimodal datasets, develop automated evaluation pipelines, fine-tune LLMs and VLMs, design controlled experiments, conduct statistical analysis
Seniority
Senior, hands-on IC
