[Hiring] Engineering Manager, Machine Learning @The browser company

Role Description

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.

• 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.

Qualifications

• 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.
• Excited to work in a startup environment with quick product validation cycles.
• Primarily focused on hiring in North American time zones with 4+ hours of overlap time with team members in Eastern Time Zone.

Requirements

• Ability to execute on critical projects, own large, complex codebases, and drive initiatives within your team.
• Love to keep up with the latest advancements in AI and apply the latest models and techniques.

Benefits

• Total compensation package includes base salary, equity, and benefits.
• The annual salary range for this role is $300,000- $360,000 USD.
• Wide range of perks and benefits designed to support you and your family.