Applied Machine Learning Engineer
Antimetal
Location
HQ - NYC
Employment Type
Full time
Location Type
On-site
Department
Engineering
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.
About Antimetal
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.
What you bring:
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 Typescript, 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.
Bonus:
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.
Who you are:
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
What we bring:
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.
Interview process
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.