Senior Applied Machine Learning Engineer

We Start Where Others Stop

For 50 years, abstractions around compute have followed an irreversible law: systems must handle complexity so humans don’t have to. We stopped writing assembly code. We abandoned physical servers. And yet, engineers still waste 30% of their time managing infrastructure—debugging YAML files, tweaking scaling policies, patching Kubernetes clusters.

Infrastructure remains stubbornly complex. The systems we rely on to keep software running are still deeply manual, brittle, and expensive to maintain. But a paradigm shift is now possible. 

When maintenance disappears, builders can finally build.

Role

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.

You

As our next Senior Applied ML Engineer, you should have at least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company, plus:

Essentials

• Demonstrated ability to design and deploy large-scale information retrieval systems and/or search backends. 
• Experience constructing and running evaluation pipelines. 
• Proven experience pre-training language models and language modeling.
• 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.

Standouts

• Hands-on experience with vector search. 
• A passion for staying ahead of applied AI trends and prototyping emerging technologies. 
• Contributions to open-source ML tools or libraries.

Compensation

Estimated Base Salary $220-260K — Offers Equity