Hiring.Camp

Senior / Staff ML / AI Engineer

Revive IT Recruitment

·

Jul 1, 2026

Salary
$210k – $250k/yr
Location
San Mateo, CA
Workplace
Hybrid
Type
Full-time
Department
IT
Seniority
Senior
Experience
5+ years
Education
PhD
Visa
Not sponsored
Closing date
Today
Source
Vincere

Description

 

Faros AI

AI Engineering Tech Lead

Full-time Hybrid San Mateo, CA San Francisco Bay Area $210K - $250K

About this role

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

 

 

1. Living by our values over avoiding con icts

– We speak honestly, act transparently, and stay true to our principles, especially

when it’s difficult.

2. Daring to be great over eliminating weaknesses

– We win by excelling at what matters most, not by imitating or outdoing

competitors.

3. Moving fast over perfection

– We value learning, iteration, and agility more than waiting for “perfect.”

4. Individual responsibility over process

– We trust you to own outcomes, make thoughtful decisions, and be accountable

for results.

5+ years of experience

with a focus on AI and ML engineering

Salary

$210K - $250K

Equity

Includes competitive equity

Visa sponsorship not available

Must be currently authorized to work in the US. Green card / U.S. citizen strongly preferred.

Hybrid work policy

Team meets in-person 3 days a week at the San Mateo office (must be in the Bay Area or willing to relocate)

Full-time position

Location

San Mateo, CA, San Francisco Bay Area

Report to

https://www.linkedin.com/in/sara-asher-70…

Tech stack

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

About Faros AI

 

 

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.

Team size

50 employees

Founded

2019

Website

www.faros.ai

LinkedIn

Visit

Total funding

$36M

Company locations

San Mateo, CA

Tech stack

Python, NumPy, Pandas, LLM Evals + Applied GenAI, RESTful APIs and/or GraphQL,

MLOps tools (MLflow, Weights & Biases, etc.)

Paraform

Terms

Privacy

 

Skills

PythonPandasNumPyGraphQL

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