Senior AI Research Engineer - Production ML & Notebook Agent

Mosaic.tech

San Francisco (CA)

Hybrid

USD 214,000 - 285,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Equity
Flexible PTO
Hybrid work model

Job summary

Hex Technologies is hiring senior AI Research Engineers to partner with product teams and push the Notebook Agent and context engine forward. You will run experiments, fine-tune models, deploy AI infrastructure, and build experimentation tooling for thousands of users.

You’ll own 0-to-1 features, define architectures, and ship experiences that change how data scientists and analysts work in a modern, data-driven platform. Remote-friendly with hybrid office days in SF or NY.

Qualifications

  • Experience getting AI/ML capabilities into production with real users.
  • Strong interest in applying AI to business problems.
  • Understanding of core MLOps/SW architecture concepts for modern ML-based apps.
  • Ideal candidates have strong Infra focus within MLOps.
  • Comfort with Python & JavaScript/TypeScript and openness to both.
  • Demonstrated ability to ship reliable, well-tested features.

Responsibilities

  • Build features from 0 to 1 and shape product experiences.
  • Help determine architecture and stack for AI-enabled capabilities.
  • Ship experiences that change how data scientists and analysts work.
  • Work at the cutting edge of production AI applications and systems.

Skills

Python
JavaScript/TypeScript
MLOps
Distributed systems
Experimentation
Technical leadership

Education

Bachelor's degree or equivalent experience

Tools

React
TypeScript
Express
GraphQL
PostgreSQL
Kubernetes
Terraform
AWS

Job description

Hex Technologies is hiring senior AI Research Engineers to partner with product teams and push the Notebook Agent and context engine forward. You will run experiments, fine-tune models, deploy AI infrastructure, and build experimentation tooling for thousands of users.

You’ll own 0-to-1 features, define architectures, and ship experiences that change how data scientists and analysts work in a modern, data-driven platform. Remote-friendly with hybrid office days in SF or NY.

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