We’re hiring a Research Engineer to push the boundaries of AI systems that power our core product.

You’ll work at the intersection of research and engineering — prototyping new approaches, running large-scale experiments, and translating research breakthroughs into production systems.

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’ll Do:

• Design, run, and analyze experiments that advance our AI powered engine.

• Prototype new model architectures, algorithms, and data processing pipelines, balancing cutting-edge ideas with practical engineering constraints.

• Optimize distributed training and inference infrastructure for performance, reliability, and scale.

• Build tools, visualizations, and dev workflows that accelerate research velocity across the company.

• Collaborate with product and engineering teams to translate ambiguous research ideas into production-ready systems.

• Contribute to both low-level optimizations (GPU/memory efficiency) and high-level model design.

• Share findings through clear technical writing and presentations that shape Antimetal’s technical roadmap.

What you bring:

• 3–6 years of engineering or applied research experience, ideally in ML/AI systems.

• Strong software engineering background with expertise in Python and at least one deep learning framework (PyTorch or TensorFlow).

• Experience with large-scale training or fine-tuning of ML models (LLMs or multimodal a plus).

• Familiarity with distributed systems, accelerators (GPUs/TPUs), and data pipelines.

• Comfort with ambiguity — you can design experiments, evaluate trade-offs, and iterate quickly.

• Excellent communication skills and the ability to work across research and engineering teams.

Bonus:

• Exposure to interpretability, robustness, or AI safety research.

• Experience with multimodal models (text + images, logs, or other data types).

• Track record of contributions to ML research (open-source repos, papers, workshops).

• Strong foundations in statistics, optimization, or experimental design.

• Experience deploying research models into production environments.

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

1. Application Review – Send us your stuff, and a quick note on why you’re excited.

2. Intro Chat: Share what you’re looking for next and learn more about what we’re building.

3. Founder Interview: Talk with one of our founders in more detail about the role

4. Technical Interview: We’ll have you complete a short exercise specific to the role.

5. Onsite: Come onsite and meet the team through a series of 1:1 interviews.

6. Decision – We’ll move fast.