Senior Applied Machine Learning Engineer

Last edited: Jan 22, 2025

Job Description

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.

Salary

Estimated base salary $220-260K — offers equity