What you bring:

• 4+ years of experience in applied ML, research engineering, preferably at a company shipping production AI systems
• Production experience contributing to agentic/LLM systems, including multi-step reasoning, reinforcement learning, fine-tuning, and orchestration.
• Proven experience bringing work from prototype to production, using data and experimentation to drive product and architectural decisions
• Strong on ML fundamentals: statistical modeling, probabilistic methods, time-series analysis, evaluation methodology.
• Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc.
• Experience constructing and running end-to-end evaluation pipelines with real world data.
• Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.
• Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.
• Comfortable with ambiguity and iterative development, prototyping, and adapting quickly to feedback.

Bonus:

• Exposure to interpretability, robustness, or AI safety research.
• Experience with multimodal models (text + images, logs, or other data types).
• Track record of contributions to ML research (open-source repos, papers, workshops).
• Strong foundations in statistics, optimization, or experimental design.
• Experience deploying research models into production environments.

Who you are:

• Identify as a builder.
• Are excited to work in-person from our new and spacious office in New York.
• Love working in a startup environment (experience in a startup or obsession with going zero-to-one).
• Enjoy working with people who are ambitious, caring, and think in systems.
• Thrive in a fast-paced iterative environment where experimentation is essential.

What we bring:

• Pay & ownership — Competitive salary with generous equity grants.
• Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.
• Unlimited PTO — Take the time you need to recharge.
• Dinner on late nights — Working late? Dinner is on us.
• Fitness stipend — Monthly support for your health and wellness.
• Tools of the trade — Any equipment you need to do your best work.
• Commute perks — Citi Bike + train benefits.

Interview process

1. Application Review – Send us your stuff, and a quick note on why you're excited.
2. Intro Chat: Share what you're looking for next and learn more about what we're building.
3. Founder Interview: Talk with one of our founders in more detail about the role
4. Technical Interview: We’ll have you complete a short exercise specific to the role.
5. Onsite: Come onsite and meet the team through a series of 1:1 interviews.
6. Decision – We’ll move fast.

Compensation: $200K - $400K