Engineering Manager, Machine Learning

The Browser Company

70d • $300,000 - $360,000

About The Position

As our founding ML Engineering Manager at the Browser Company, you’ll build our strategy and define how we incorporate ML to advance Dia’s product vision. The browser holds most of the context about your workday, from memory of the tasks you’re trying to accomplish to access to all of your web apps. We use ML and AI to turn that context into high‑utility experiences that feel personal and improve over time, grounded in capabilities like computer‑use, memory, and web‑app integrations. Dia’s Assistant doesn’t just execute actions, it also suggests and recommend tasks, and learns which choices drive real outcomes. We leverage modern training techniques such as SFT, RL, and GEPA to optimize these experiences while protecting privacy. To move fast and learn continuously, we’re building a first‑class ML developer environment: curated data pipelines, tight experiment loops, offline/online evals with telemetry, and one‑click deploys with strong observability.

Requirements

• 6+ years of experience training, optimizing, and productionizing modern ML models, especially ones that run in a real-world product environment.
• 3+ years mentoring and leading senior engineers with a track record of tech-leading critical work.
• Production experience with Python and experience fine-tuning open-source LLMs.
• Ability to execute on critical projects, own large, complex codebases and drive initiatives within your team.
• Excitement to work in a startup environment with quick product validation cycles.

Nice To Haves

• Experience working closely with transformer models.
• Ability to keep up with the latest advancements in AI and apply the latest models and techniques.

Responsibilities

• Define and build our ML strategy, sequencing bets that improve Dia’s assistant and measurable user outcomes.
• Prototype, architect, and ship LLM‑powered features; establish techniques to train models that improve over time and personalize experiences.
• Audit and evolve the ML stack and infrastructure to support both encoder and decoder model families across client and server.
• Partner on privacy and security by working with Security and Infra on data stewardship, deployment strategies, and responsible scaling.
• Establish ML Developer Experience by building tooling and workflows for high quality data curation, experimentation, evals, and continuous training.
• Support and build a talented team of machine learning engineers, helping them grow both technically and with a product mindset.

Benefits

• Base salary, equity, and benefits.
• Annual salary range of $300,000- $360,000 USD.
• Wide range of perks and benefits designed to support you and your family.
• Remote-friendly work environment with the option to work from the office in Brooklyn, New York.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior