Research Engineer

Skills

About the Role

You'll build the intelligent systems that power Antimetal. You'll prototype new approaches, run experiments, and own the path from research to production. You'll work closely with platform and product to shape agent capabilities and contribute to evaluation methodology. You'll tackle infrastructure observability, a hard domain to model, where telemetry is high-volume, noisy, and ephemeral, and ground truth is approximate. You'll help build AI agents that understand this complexity and can reason about what's happening, why, and how to fix it, including making changes to code and configuration.

Requirements

• 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

Responsibilities

• 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 that lets the team measure progress and iterate with confidence
• Apply and develop techniques from best-in-class AI Agents, ML, and SRE research to the problem domain
• Experiment with new approaches to reasoning, retrieval, codebase mapping, and agent architectures
• Collaborate with platform and product to integrate capabilities and productionize prototypes into scalable and reliable services

Benefits

• Competitive salary with generous equity grants
• Fully covered health, dental, and vision
• Retirement benefits
• Unlimited PTO
• Dinner on late nights
• Monthly fitness stipend
• Equipment provided
• Citi Bike + train commute benefits