Applied ML Engineer

About this role

Foxglove is seeking an Applied ML Engineer to design and deploy production ML infrastructure for their robotics data platform. You'll own inference pipelines, vector database integrations, and training infrastructure to enable semantic search and data mining over massive multimodal robotics datasets.

What you'll do

• Deploy and optimize production inference infrastructure including model serving, scaling, and cost management
• Build vector database integrations and embedding applications for semantic search across multimodal robotics data
• Design evaluation and training infrastructure to accelerate model iteration
• Make cloud architecture decisions affecting latency, throughput, cost, and reliability
• Ship application-driven ML features in collaboration with product engineers
• Evaluate and adapt off-the-shelf solutions versus building custom infrastructure

What they're looking for

• Production ML infrastructure and cloud inference
• Model serving optimization (TorchServe, vLLM, Triton)
• Vector databases and embedding models
• Distributed systems and cloud platforms (AWS/GCP)
• Production reliability and cost optimization
• Strong engineering fundamentals
• LLM fine-tuning and domain adaptation
• Data mining and hybrid search workflows

Benefits

• $300 monthly workspace/commuter budget
• Competitive equity in Series B company
• 100% medical, dental, vision, and life insurance coverage for employees
• 401(k) matching up to 4%
• 4 weeks vacation plus holidays and winter break
• Fully-funded company off-sites twice yearly