Applied Machine Learning Engineer

We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands‑on with cutting‑edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems.

You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast‑paced environments and are passionate about applied AI, this is the role for you.

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.

• At least 5 years of experience in applied machine learning or a related role, preferably at a high‑growth company
• 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 Type Script, with experience using common ML libraries and data engineering tools
• Strong problem‑solving skills, with a focus on creating highly maintainable, scalable code
• Excellent communication and collaboration skills
• Comfortable with iterative development, prototyping, and adapting quickly to feedback

• Hands‑on experience with vector / hybrid search
• Experience with dataset curation or synthetic dataset generation for novel problem domains
• A passion for staying ahead of applied AI trends and prototyping emerging technologies
• Contributions to open‑source ML tools or libraries
• Experience with Go or another systems language

• 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

• Pay & ownership — Competitive salary with generous equity grants
• Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits
• Unlimited PTO — Take the time you need to recharge
• Dinner on late nights — Working late? Dinner is on us
• Fitness stipend — Monthly support for your health and wellness
• Tools of the trade — Any equipment you need to do your best work
• Commute perks — Citi Bike + train benefits

• Application Review – Send us your stuff, and a quick note on why you're excited
• Intro Chat – Share what you're looking for next and learn more about what we're building
• Founder Interview – Talk with one of our founders in more detail about the role
• Technical Interview – We’ll have you complete a short exercise specific to the role
• Onsite – Come onsite and meet the team through a series of 1:1 interviews
• Decision – We’ll move fast