Antimetal is building the future of infrastructure management by creating a platform that investigates, resolves, and prevents issues, aiming to give engineers more time to focus on product development.
Requirements
- At least 5 years of experience in applied machine learning or a related role
- Demonstrated ability to design and deploy large-scale machine learning systems that add new value to the product.
- Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic ML
- 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.
- Hands-on experience with vector/hybrid search.
Responsibilities
- Design and deploy intelligent systems to automate infrastructure workflows.
- Work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems.
- Rapidly prototype, experiment, and take projects from concept to production.
- Design and deploy large-scale machine learning systems that add new value to the product.
- Construct and run end-to-end evaluation pipelines with real world data.
- Create highly maintainable, scalable code.
- Prototype emerging technologies.
Other
- 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
