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
Skills Required
- 3+ years of experience releasing and improving machine learning models in production
- Strong Python software engineering skills and experience writing production-grade code
- Experience working with AWS
- Experience investigating model underperformance on unfamiliar inputs, curating training data, and improving precision and recall
- Background in natural language processing, preferably text extraction or entity-focused tasks
- Experience increasing labeling throughput or adapting models to additional data types
- Familiarity with fine-tuning transformer models and inference optimization
- Startup experience and a demonstrated record of career progression
- STEM undergraduate degree from a highly ranked US university
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
