Senior AI/ML Engineer
Build and productionize AI/ML systems including recommendations, NLP interfaces, and agentic workflows. Requires 10+ years building production-grade AI/ML systems and experience with foundation models.
About the job
What You’ll Do
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
What You Bring
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
Bonus Points
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You’ve worked in a fast-moving startup or high-growth environment
Compensation & Benefits
- Base salary range: $240k - $270k annually
- Eligible for stock options
- Comprehensive benefits package including generous health benefits, flexible time off, paid bonding time, 401k, commuter and FSA benefits, lunch program, dog friendly office
Skills
Machine Learning, Deep Learning, Ai/Ml Infrastructure, Foundation Models, Natural Language Processing, AWS, GCP, Azure, Agentic Workflows, Recommendations Systems
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