The Browser Company is hiring a
Software Engineer, AI

Summary

The Browser Company is hiring an AI Engineer to build a smarter, more personalized web browser with a focus on privacy-preserving, on-device models. The engineer will work on questions related to feature suitability, performance, and data collection for these models. They will also collaborate with product engineers, designers, and other teams to create magical experiences within Arc, the company's browser. After joining, the engineer will go through an onboarding process, learn about the Swift language and codebase, and start formulating the ML roadmap.

Requirements

• Experience developing and productionizing modern machine learning models, especially ones that can run under tight power and performance constraints, in a real-world product environment
• Experience with fine-tuning, distilling, and improving existing ML models
• Passionate about prototyping product features and using pragmatic solutions to solve problems, biasing for fast feedback loops
• Experience as a technical lead on critical projects or initiatives within your team and organization
• Experienced with Python and modern ML libraries
• Pragmatic and able to reason about prioritization and scope
• Biased for action, embracing failing fast to refine code, systems, and processes rapidly

Responsibilities

• Prototype and explore how to build a smarter, more personalized web browser with a focus on privacy-preserving, on-device models
• Scope and spearhead projects to fine-tune, distill, or train models for various features within Arc
• Work with Product Engineers, Product Designers, and Design Engineers to understand how to use heuristics, neural networks, and LLMs to create magical experiences within Arc
• Build infrastructure to collect or generate training data for building or improving models
• Ship a few bug fixes and small improvements across our codebase and tooling
• Regularly attend weekly engineering discussions about the architecture, how we do code review, code style, and more
• Creatively solve problems with product engineers using pragmatic solutions ranging from basic heuristics, regressions, ML models, to AI depending on the feature
• Drive projects from conception to production launch independently
• Own our infrastructure to collect training data and fine-tune models for our use-cases

Benefits

• Comprehensive benefits package with employee medical, dental, and vision premiums covered at 100%
• 401k plan
• Flexible vacation policy: on average, team members take between 15-20 vacation days plus federal holidays (holidays vary by location)
• 12 weeks of paid parental leave
• $1,500 USD home office stipend
• Free annual memberships to One Medical, Talkspace, Teladoc, and HealthAdvocate (for employees based in the US)