Research Engineer

The role

You will build intelligent systems by prototyping new approaches, running experiments, and owning the path from research to production. You will work with platform and product teams to shape agent capabilities and contribute to evaluation methodology.

What you will do

• Run experiments across research areas, analyze results, validate what works, and take successful approaches to production.
• Partner with platform on live and offline evaluation pipelines, benchmarks, and synthetic data generation.
• Build tooling to measure progress and iterate with confidence.
• Apply and develop techniques from AI Agents, ML, and SRE research to the problem domain.
• Experiment with new approaches to reasoning, retrieval, codebase mapping, and agent architectures.
• Work with platform and product to integrate capabilities and productionize prototypes into scalable and reliable services.

Required qualifications

• 4+ years of experience in applied ML, research engineering
• Production experience contributing to agentic/LLM systems, including multi-step reasoning, reinforcement learning, and orchestration
• Proven experience bringing work from prototype to production
• 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
• Experience using common ML libraries and data engineering tools
• Strong problem-solving skills
• Comfortable with ambiguity and iterative development, prototyping, and adapting quickly to feedback

Nice to have

• 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
• Experience in a startup or obsession with going zero-to-one

Benefits

• Competitive salary with generous equity grants
• Fully covered health, dental, and vision
• Retirement benefits
• Unlimited PTO
• Dinner on late nights
• Monthly fitness stipend
• Any equipment you need to do your best work
• Citi Bike + train benefits

Before you apply

• Complete a short exercise specific to the role during the technical interview
• Meet the team through a series of 1:1 interviews onsite

About the company

Antimetal is building the future of infrastructure management. The company is creating a platform that investigates, resolves, and prevents issues.