Senior Applied Machine Learning Engineer
Location: New York City (In-office)
Compensation: $220,000 $260,000 + Equity
Employment Type: Full-time, Permanent
Were on a mission to automate and simplify modern infrastructure using AI. Engineers today spend up to 30% of their time wrangling brittle YAML, tweaking scaling configs, and patching Kubernetes. We're building an AI copilot to take that load off an intelligent layer that spots and resolves issues before they become problems, predicts usage with precision, and optimizes cloud spend automatically.
With fresh funding, real traction, and a deeply technical founding team, were ready to scale a product that engineers will actually love to use.
Competitive compensation and meaningful equity
Relocation support to NYC, with commuter benefits included
100% health, dental, and vision coverage
Monthly health stipend + One Medical membership
Quarterly off sites in unique locations
Sabbatical program: $5,000 bonus + 5 weeks off every 3 years
Fully stocked pantry and regular catered meals
Join a close-knit team shipping fast, learning fast, and laughing often
Design and deploy intelligent systems to automate infrastructure workflows
Rapidly prototype and ship applied AI solutions using LLMs, knowledge graphs, and retrieval systems
Build vector search pipelines and run large-scale evaluation frameworks
Fine-tune and adapt existing language models for real-world deployment
Collaborate cross-functionally with other engineers to bring features from idea to production
Give a tech talk during the interview process you'll be doing this kind of knowledge-sharing on the job, too
Essentials:
5+ years of applied machine learning or related experience
Demonstrated ability to build large-scale information retrieval or search systems
Experience constructing and running evaluation pipelines
Pre-training or fine-tuning LLMs (language modeling experience required)
Proficiency in Python and TypeScript, with common ML libraries and data tools
Strong problem-solving and code maintainability skills
Excellent communicator comfortable with fast, iterative development
Standouts:
Hands-on experience with vector search
Track record of open-source ML contributions
If you're excited by real-world AI applications and want to build something engineers will love and use daily this is the role for you. Passion for staying ahead of applied AI trends and emerging tooling