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