Machine Learning Engineer
September 6
🏢 In-office - Manhattan
Description
• Machine Learning Engineers at Tennr are expected to wear a variety of hats. • End-to-end product development: architect, train, deploy, and monitor models that drive direct customer value across our product. • Data processing and ML Ops: optimize scalable data processing pipelines in our platform and maintain machine learning infrastructure. • Backend integration: design and maintain complex workflows that leverage machine learning to drive automation. • Product evaluation: Collaborate with sales and customer success teams to respond to feedback from our customers and prospects. • Custom models: Fine-tune LLMs and VLMs for medical document understanding tasks
Requirements
• 3+ years of experience (post BS/MS) in an ML research/engineering role • Proven track record of building and maintaining scalable web applications, particularly in high-volume workflow automation and data processing. • Experience integrating machine learning models into production environments • Can efficiently translate open-ended problems into actionable solutions • Familiarity implementing novel NLP research ideas and techniques. Prior publications in top conference journals is a plus. • Prior experience in a startup environment is a plus.
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