Machine Learning Engineer

About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Apply machine learning in a live production environment, improving models that handle sensitive text and other data types. The work involves studying model weaknesses, preparing training data, running experiments and releasing measurable gains. It is a high-ownership position within a small, in-person engineering team.

What you'll do

- Own a production model end to end, including retraining, failure analysis and release of measurable accuracy improvements.

- Design and scale data labeling approaches, including active learning and LLM-assisted review.

- Extend existing capabilities to new data types such as audio, video and tabular data.

- Combine rules-based methods, classical ML, fine-tuning and LLM techniques to solve entity recognition and resolution problems, choosing the approach based on evidence.

- Build evaluation benchmarks and experiment tooling so that improvements move from discovery to production faster and more repeatably.

Requirements

What we're looking for

- 3+ years of experience releasing and improving machine learning models in production.

- Strong Python software engineering skills, with experience in production-grade code rather than only exploratory notebooks.

- Experience working with AWS.

- Track record of investigating why a model underperforms on unfamiliar inputs, curating training data and lifting both precision and recall.

- Background in natural language processing, ideally with text extraction or entity-focused tasks.

- Experience expanding labeling throughput or adapting models to additional data types, plus familiarity with fine-tuning transformer models and inference optimization.

- Startup experience and a clear record of career progression.

Bonus points

- STEM undergraduate degree from a highly ranked US university.

Benefits

Compensation and benefits

- Base salary: USD 250,000 to 330,000 per year

- Equity

- Health, dental and vision coverage

- Paid time off and company holidays

- Wellness benefits

Location and work model

- New York, NY, United States

- On-site, 5 days per week in office

- Full-time