Member of Technical Staff, ML

Highlight AI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and generous equity package

Health, dental, and vision insurance

Flexible PTO and parental leave

Paid team lunches during the week

Relocation package

Job summary

A leading innovative technology company in San Francisco is hiring a Senior ML Engineer to develop the AI systems for a proactive AI solution. This hands-on role involves ownership of vital ML systems and collaboration with the AI Engineering team to enhance capabilities. The ideal candidate must have significant experience in ML/AI engineering, strong coding skills, and a proactive mindset. The position requires full-time onsite work in SF, with a focus on shipping quality products and maintaining high standards.

Qualifications

• 4+ years in ML/AI engineering with significant experience shipping production systems.
• Strong software engineering fundamentals: capable of writing clean, maintainable code.
• Deep experience with retrieval, ranking, RAG, or search systems at scale.

Responsibilities

• Design and optimize ML pipelines for context retrieval and output generation.
• Implement RAG systems and improve model quality.
• Collaborate with engineering to ship AI features.

Skills

ML/AI engineering experience

Software engineering fundamentals

Experience with retrieval systems

Proficiency with PyTorch

Communication skills

Ownership mentality

Tools

PyTorch

Vector databases

ML infrastructure

Job description

About Highlight AI

We're a small, senior team building the intelligent OS for the agentic age. Highlight is a proactive AI that captures your team's context, surfaces what matters, and handles the busywork so you can focus on decisions and building. We ship fast, obsess over craft, and care deeply about user experience and trust. Backed by General Catalyst, Valor, SV Angel, and Conviction, we’re looking for like-minded people to help define how the next generation of knowledge workers get things done.

The Role

We're hiring a Senior ML Engineer to help build the AI systems that power Highlight. You will work across the full ML stack: data pipelines, model training, retrieval, ranking, evals, and deployment. You will ship features that make Highlight feel like magic. This is a hands on IC role where you will own critical systems end to end and collaborate closely with our Head of AI Engineering to scale our ML capabilities.

You will thrive here if you love shipping production ML systems, obsess over output quality, and want to work on hard problems with real user impact. We move fast, hold a high bar, and believe the best ideas win regardless of title.

Note: this is an on site role, requiring five days a week in our SF or NYC offices.

Job Responsibilities

• Design, build, and optimize ML pipelines for context retrieval, action detection, and output generation
• Implement and iterate on RAG systems, ranking models, and prompt engineering to improve quality
• Build comprehensive evals and monitoring to measure and improve ML system performance
• Investigate alternative models and fine tuning approaches for our heavy background processing workloads, implementing better systems to increase quality while improving cost efficiency
• Collaborate with Backend and Product Engineering to ship AI powered features
• Contribute to ML infrastructure decisions and best practices across the engineering org
• Stay current on LLM advances, retrieval techniques, and ML tooling; bring insights back to the team

Profile

We’re looking for someone who is interested in building the AI user experience for the future. We punch above our weight so we value extreme ownership, accountability, and proactiveness. The ideal candidate is a master craftsman who enjoys building great products with LLMs at scale.

You are a good fit if you have:

• 4+ years in ML/AI engineering, with significant experience shipping production systems
• Strong software engineering fundamentals: you write clean, maintainable code
• Deep experience with retrieval, ranking, RAG, or search systems at scale
• Hands on proficiency with PyTorch, vector databases, and modern ML infrastructure
• Experience with LLM applications (prompt engineering, fine tuning, eval frameworks)
• Product thinker: understands how to connect great ML products to constraints, evals, and modeling when building them
• A bias toward action: you ship fast, measure rigorously, and iterate based on data
• Ownership mentality (no task is too small for you) – it’s all hands on deck here and we need everyone rowing the boat.
• Excellent communication skills and a collaborative mindset – we’re extremely lean so we’re looking for a team player who works well with others.
• Type-A tendencies: maybe you’re extremely detail-oriented. Or maybe you take pride in shipping high-quality products. Whatever it is you do, you give it your all.
• Must be based in or willing to relocate to NYC or SF – although we’re flexible with days off & schedules, we have a 100% in-office culture during the week.

And even if you don’t fall neatly into any of these buckets, we’re looking for scrappy and motivated self-starters above all. Hustle is expected, grit is required.

Perks

• Competitive salary and generous equity package
• Health, dental, and vision insurance
• Flexible PTO and parental leave
• Paid team lunches during the week
• Relocation package