Who you are

• 6+ years of experience training, optimizing, and productionizing modern ML models, especially ones that run in a real-world product environment (bonus if you’ve worked closely with transformer models)
• 3+ years mentoring and leading senior engineers with a track record of tech-leading critical work and setting a sustainable execution pace. You're able to execute on critical projects, own large, complex codebases and drive initiatives within your team
• You love to keep up with the latest advancements in AI and are excited to apply the latest models and techniques to push the boundaries of what's possible in a browser
• You have production experience with Python and have experience fine-tuning open-source LLMs and going beyond simple LoRA fine-tuning
• You’re pragmatic, motivated by nebulous problems, and excited to work in a startup environment with quick product validation cycles

What the job involves

• 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
• 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
• Engineering Managers at Browser Company are hands-on technical leaders who build high-performing and psychologically-safe teams with a diverse group of individuals
• You’ll work closely with your team to make product decisions, prioritize work, ship features, and promote an engineering culture of knowledge sharing and mentorship. Engineering Managers follow the same onboarding pathway as an IC engineer to learn our product data, and build processes, then ramp into leadership
• Engineering Managers follow the same onboarding pathway as an IC engineer to learn our product data, and build processes, then ramp into leadership
• Define and build our ML strategy, sequencing bets that improve Dia’s assistant and measurable user outcomes. You’ll stay ahead of the latest AI advancements and translate them into strategic opportunities for Dia’s roadmap
• Prototype, architect, and ship LLM‑powered features; establish techniques to train models that improve over time and personalize experiences, partnering with Design and Product Engineering to balance quality, speed, and scale for real‑world use
• Audit and evolve the ML stack and infrastructure - spanning Swift for on-device inference and Python for models and tooling - to support both encoder and decoder model families across client and server. Over time, scale the system using fine-tuned open-source LLMs
• 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 (fine-tuning, RL, prompting), evals, and continuous training to improve the models that power Dia
• Support and build a talented team of machine learning engineers, helping them grow both technically and with a product mindset through fast iteration cycles. You’ll play a key role in contributing across the engineering org as we scale—owning processes, recruiting, and onboarding—and proactively improve architecture and practices to enhance performance, stability, and maintainability
• Technical Projects You’ll Shape With Us…
• Browser context engine: learn a unified embedding space that fuses app integrations, enterprise connectors, and on-device signals to enable low-latency retrieval, routing, and personalization
• Personalize the command bar: develop ranking, intent understanding, and context-aware suggestions; fine-tune and evaluate models to measurably boost relevance and engagement
• Evolve our data flywheel by defining how we instrument product signals, design collection/storage pipelines, create labeling/evaluation loops, and continuously retrain to improve feature quality and personalization

The application process

• Deadline to Apply: December 31, 2025 at 5:00 AM UTC

Benefits

• Choose-Your-Own-Compensation Plan: When we give you a job offer, we’ll actually give you two different offers — one that is focused on having a higher salary and one focused on higher equity. Candidates can choose either offer (or any numbers in-between) when they accept.
• Best in the Biz Insurance: We provide employees with full coverage medical, vision, and dental insurance and a free One Medical membership to help you keep you and your family healthy. We cover 100% of employee plan costs and up to 90% for dependents.
• Napping During the Workday: Some of us are better in the mornings, others are more productive in the afternoon. People should take breaks when they need to. If you’re on our team, we trust you to get your work done — our policy is: work when it makes sense for you!
• Take Time Off, Please!: We believe that people do their best work when they’ve rested and had valuable time off. So rather than having a maximum number of days off, we actually have a recommended minimum vacation of 20 days a year. Take time off when you need it and also just when you feel like it.
• Extremely Flexible Parental Leave: We are proud to offer an extremely flexible 12 weeks of parental leave — for any parent regardless of gender and for birth, adoption, surrogacy, or fostering. Take the 12 weeks all at once, or split up days to slowly transition back to work — we’re accommodating to everyone’s different situations! Birth mothers also qualify for an additional 6 weeks of medical leave.
• Design Your Dream Home Office: We are a remote first company. About half of our team currently lives outside of New York and across 5 different time zones. So if you need some stuff to make working from home a bit easier, we offer a $1000 stipend for anything you need to get comfortable.
• Cozy Office in Brooklyn, Wooo!: If you do happen to live in the New York area (or you want an excuse to visit) you can come into our beautiful office in Williamsburg. Coming into office is entirely optional, some of us come almost every day and some of us come in once a week. No obligation, we just genuinely like each other!