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