[Remote] Engineering Manager, Machine Learning at The Browser Company

North America

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, InternetIndustries

Requirements

Hands-on technical leader experienced in building high-performing and psychologically-safe teams with diverse individuals
Ability to define and build ML strategy, sequencing bets that improve AI assistants and measurable user outcomes
Stay ahead of latest AI advancements (e.g., SFT, RL, GEPA) and translate them into strategic opportunities
Expertise in prototyping, architecting, and shipping LLM-powered features
Experience establishing techniques to train models that improve over time and personalize experiences
Ability to audit and evolve ML stack and infrastructure (Swift for on-device inference, Python for models/tooling; support for encoder/decoder models across client/server; scaling with fine-tuned open-source LLMs)
Knowledge of partnering on privacy, security, data stewardship, deployment strategies, and responsible scaling
Skills in building ML Developer Experience (tooling/workflows for data curation, experimentation like fine-tuning/RL/prompting, evals, continuous training)
Experience supporting and building talented teams of machine learning engineers, fostering technical and product mindset growth through fast iteration
Willingness to follow IC engineer onboarding pathway to learn product data and build processes before ramping into leadership

Responsibilities

Define and build ML strategy for Dia’s assistant, sequencing bets to improve product vision and user outcomes
Prototype, architect, and ship LLM-powered features; establish training techniques for improving/personalizing models; partner with Design and Product Engineering
Audit and evolve ML stack/infrastructure across client/server, scaling with fine-tuned open-source LLMs
Partner with Security and Infra on privacy/security, data stewardship, deployment, and responsible scaling
Establish ML Developer Experience: build tooling/workflows for data curation, experimentation (fine-tuning, RL, prompting), evals, and continuous training
Build, support, and grow a talented team of machine learning engineers technically and with product mindset via fast iteration
Work closely with team on product decisions, prioritization, shipping features, and promoting engineering culture of knowledge sharing/mentorship

Skills

Key technologies and capabilities for this role

Machine LearningAISFTRLGEPAML EngineeringEngineering ManagementPrivacy EngineeringWeb App Integrations

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What are the key responsibilities of this role?

You will define and build the ML strategy, sequence bets to improve Dia’s assistant and user outcomes, stay ahead of AI advancements, and prototype, architect, and ship LLM-powered features.

What is the management philosophy at The Browser Company?

Engineering Managers are hands-on technical leaders who build high-performing and psychologically-safe teams with diverse individuals, work closely on product decisions, prioritize work, ship features, and promote knowledge sharing and mentorship.

What salary or compensation is offered for this role?

This information is not specified in the job description.

What makes a strong candidate for this Engineering Manager role?

Strong candidates are hands-on technical leaders experienced in ML and AI, capable of building diverse, high-performing teams, staying ahead of AI advancements, and shipping LLM-powered features while fostering psychological safety and mentorship.

The Browser Company

Develops a user-friendly web browser

About The Browser Company

The Browser Company develops a web browser called Arc, which focuses on providing a more intuitive and organized online experience for users. Arc is designed to be user-friendly and efficient, aiming to improve how people interact with the internet compared to traditional browsers. Unlike many existing browsers, Arc seeks to streamline the browsing process, making it easier for users to manage their online activities. The Browser Company differentiates itself from competitors by targeting a more modern and simplified user experience, backed by a team of experienced professionals from notable tech companies. Their goal is to enhance the way users navigate the web, potentially disrupting the current browser market with their fresh approach.

New York City, New YorkHeadquarters

2019Year Founded

$133.1MTotal Funding

LATE_VCCompany Stage

Consumer SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Remote Work Options

Paid Vacation

Paid Sick Leave

Paid Holidays

Home Office Stipend

Paid Parental Leave

Risks

Arc's recent security vulnerability could undermine user trust and adoption.

Dia may face competition from established AI-integrated browsers like Microsoft's Edge.

The freemium model may limit revenue if premium features aren't compelling.

Differentiation

Arc offers a more personal and creative browsing experience than traditional browsers.

The Browser Company is led by seasoned tech professionals from Instagram, Tesla, and Google.

Arc's AI-powered features, like 'Call Arc', enhance user interaction and efficiency.

Upsides

The Browser Company raised $50 million, valuing it at $550 million.

Growing demand for personalized browsing experiences supports Arc's market entry.

The launch of AI-centric browser Dia could attract a wider audience in 2025.

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