×
Register Here to Apply for Jobs or Post Jobs. X

Senior​/ML​/AI Engineer

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Trades Workforce Solutions
Full Time, Part Time position
Listed on 2026-07-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 210000 - 250000 USD Yearly USD 210000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Senior / Staff ML / AI Engineer

Mission

At Faros AI, we are reshaping the way engineering organizations operate, with an engineering intelligence platform that provides visibility and context across the organization’s software delivery systems. This deep operational context supports engineering leaders today and is increasingly essential as AI agents begin to operate within real software delivery environments. Faros AI is laying the foundation for how humans and AI will build software together in the years ahead.

About

the Role

Join our AI team to build Lighthouse AI – the intelligence engine that helps engineering leaders understand why their teams perform the way they do and improve performance in an age where AI is redefining the engineering craft. You’ll work on natural language interfaces, causal analysis models, and ML‑driven insights that impact how thousands of engineers work at companies like Autodesk, Discord, and Vimeo.

Responsibilities
  • Collaborate with product, data, and engineering teams to define, design, and integrate AI features seamlessly into the user experience.
  • Build and maintain scalable ML pipelines and infrastructure balancing speed, flexibility, security, and scalability.
  • Build and optimize LLM‑powered features, including natural language query generation, data summarization, and data exploration tools.
  • Design and implement prompt engineering strategies, evaluation frameworks, and iterate on model performance.
  • Fine‑tune Large Language Models (LLMs) or custom architectures for performance, latency, and cost‑efficiency.
  • Stay up‑to‑date with the latest research (e.g., papers from NeurIPS, ICML) and identify opportunities to apply state‑of‑the‑art techniques to business problems.
What We Value
  • Living by our values over avoiding conflicts – We speak honestly, act transparently, and stay true to our principles, especially when it’s difficult.
  • Daring to be great over eliminating weaknesses – We win by excelling at what matters most, not by imitating or outdoing competitors.
  • Moving fast over perfection – We value learning, iteration, and agility more than waiting for “perfect.”
  • Individual responsibility over process – We trust you to own outcomes, make thoughtful decisions, and be accountable for results.
Qualifications
  • 5+ years of experience with a focus on AI and ML engineering.
Salary & Benefits
  • Base salary: $210K - $250K
  • Competitive equity
  • Hybrid work policy: team meets in person 3 days a week at the San Mateo office (must be in Bay Area or willing to relocate).
  • Full‑time position.
  • Must be currently authorized to work in the US;
    Green Card or U.S. citizen strongly preferred.
  • Visa sponsorship not available.
Location

San Mateo, CA, San Francisco Bay Area

Technical Stack

Python, Num Py, Pandas, LLM Evals + Applied GenAI, RESTful APIs and/or GraphQL, MLOps tools (MLflow, Weights & Biases, etc.)

Company

Faros AI – Founded 2019, 50 employees, website (Use the "Apply for this Job" box below)..ai

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary