Machine Learning Research Engineer

Quantix Search; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Job summary

Join a fast-moving, innovative AI startup in San Francisco as a Machine Learning Research Engineer. This high-impact role involves working with cutting-edge large language models to create autonomous agents that handle complex conversations. Collaborate with a talented team to build scalable ML infrastructure and drive performance improvements using advanced techniques. If you have a passion for AI and a track record of deploying models in production, this opportunity offers the chance to make a significant impact in the field of conversational AI.

Qualifications

• 4+ years of experience in AI/ML engineering or research.
• Proven success deploying LLMs in production environments.
• Strong backend skills and low-latency system experience.

Responsibilities

• Fine-tuning and evaluating LLMs for various tasks.
• Building scalable ML infrastructure for real-time inference.
• Shipping production-level ML systems with measurable impact.

Skills

Machine Learning

Large Language Models (LLMs)

Backend Development

Infrastructure Optimization

Coding

Education

Bachelor's in Computer Science or related field

Master's in AI/ML or related field

Tools

TensorFlow

PyTorch

Docker

Job description

This range is provided by Quantix Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $300,000.00/yr

Direct message the job poster from Quantix Search

Founder at Quantix Search - AI & Data Science Talent Acquisition

Machine Learning Research Engineer

About the Company:

We're partnering with a well-funded AI startup in San Francisco that’s building next-gen conversational AI agents for enterprise use. Their technology is already powering support systems at some of the best-known tech companies, and they’ve raised over $100M from top-tier investors to continue scaling. It’s a fast-moving, highly technical team solving complex problems at the frontier of applied AI.

About the Role:

This is a high-impact role for an experienced ML engineer who thrives at the intersection of research and production. You’ll work hands-on with large language models, evaluating, fine-tuning, and deploying them to power autonomous agents that handle nuanced, multi-step conversations. You'll collaborate closely with world-class engineers and product leaders to shape how AI is applied in real-world environments.

What You’ll Be Doing:

• Fine-tuning and evaluating LLMs for instruction-following, dialogue, and support tasks
• Building scalable ML infrastructure to support real-time inference and ongoing model improvements
• Experimenting with techniques like RAG, RLHF, and adapter-based fine-tuning to drive performance
• Shipping production-level ML systems with measurable impact on end users
• Contributing to a high-caliber, research-oriented engineering team

What We’re Looking For:

• 4+ years of experience in AI/ML engineering or research
• Demonstrated success deploying LLMs or related models in production
• Strong backend and infrastructure skills (low-latency systems, inference optimization, etc.)
• Fast, clean coder with a solid grasp of core ML principles
• Track record of excellence

If you're excited by the idea of building production-grade LLM systems from scratch and want to work with one of the most technically ambitious teams in the space, let’s connect.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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