The Browser Company · 1 month ago
Technical Lead Manager, Machine Learning
United States
Full-time
Remote
Senior Level, Lead/Staff
$300K/yr - $360K/yr
6+ years expThe Browser Company is building a better way to use the internet through a new browser. As a founding ML Engineering Technical Lead Manager, you will define the ML strategy and incorporate machine learning to enhance the product's capabilities, focusing on improving user experiences and personalizing interactions.
Digital MediaInternetWeb Browsers
Responsibilities
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
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
Qualification
Required
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
We're primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone
Benefits
We also offer a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
Company
The Browser Company
The Browser Company is a software company that designs and operates web browser for internet users.
51-200 employees
H1B Sponsorship
The Browser Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$68MKey Investors
Pace Capital
2025-09-04Acquired
2024-03-21Series B· $50M
2022-05-25Series A
Leadership Team
Adena Bauer
Membership Lead
Tara Feener
Head of Dia
Recent News
2026-01-09
2026-01-09
2026-01-07
Company data provided by crunchbase