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.
240k – 270k/yr
On-site10+ YOEML Engineering
About the role
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 LearningDeep LearningAi/Ml InfrastructureFoundation ModelsNatural Language ProcessingAWSGCPAzureAgentic WorkflowsRecommendations Systems
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