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About the Role
We’re looking for a Research Engineer to 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.
Responsibilities
- Experiment, Evaluate, Iterate, Ship: Run experiments across our research areas, analyze results, validate what works, and take successful approaches to production.
- Build Evaluation Infrastructure: Partner with platform on live and offline evaluation pipelines, benchmarks, and synthetic data generation. Build the tooling that lets the team measure progress and iterate with confidence.
- Explore Research Directions: Apply and develop techniques from best-in-class AI Agents, ML, and SRE research to our problem domain. Experiment with new approaches to reasoning, retrieval, codebase mapping, and agent architectures.
- Collaborate Across Teams: Work with platform and product to integrate capabilities and productionize prototypes into scalable and reliable services.
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.
- 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.
Skills
- applied ML
- research engineering
- agentic/LLM systems
- multi-step reasoning
- reinforcement learning
- fine-tuning
- orchestration
- data and experimentation
- statistical modeling
- probabilistic methods
- time-series analysis
- evaluation methodology
- search
- NLP
- Python
- Typescript
- ML libraries
- data engineering tools
- problem-solving
- maintainable code
- scalable code
- ambiguity
- iterative development
- prototyping
- adaptability
- interpretability
- robustness
- AI safety research
- multimodal models
- statistics
- optimization
- experimental design
Location
- New York
Work Type
- in-person
- startup environment
- fast-paced iterative environment
Experience Level
- 4+ years of experience
Salary/Compensations
- Competitive salary with generous equity grants
Benefits
- Fully covered health, dental, and vision
- retirement benefits
- Unlimited PTO
- Dinner on late nights
- Monthly support for your health and wellness
- Any equipment you need to do your best work
- Citi Bike + train benefits
About the Company
- Antimetal is building the future of infrastructure management.
- We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.