Senior Machine Learning Engineer, NLP - (Remote)

at  BenchSci

We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team. You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, we’re seeking someone with a deep expertise in Python, data engineering, and NLP, especially with LLMs (like GPT-4, Gemini, Claude) and SLMs (like Mistral, Llama v2 and other <7B parameter models). The ideal candidate should have a recent track record in fine tuning these models and deploying robust NLP systems in production, with experience in the biomedical field considered a plus. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.

YOU HAVE:

• 5+ years of experience in applying advanced machine learning and NLP techniques, with a proven track record in deploying production-ready systems.
• Expert proficiency in Python and core programming concepts, with extensive experience in NLP technologies and frameworks like PyTorch.
• You have demonstrated familiarity with LLMs (GPT, Gemini, Claude) and SLMs (Mistral, Llama, Gemma) in your recent work or projects..Demonstrated ability in designing, building, and evaluating robust and scalable ML models, with a keen eye for scalability, performance, and detail-oriented problem-solving.
• Strong skills in data engineering, including manipulation and processing with SQL, pandas, or similar technologies, and experience in fine tuning techniques such as HyDE, RAG, PEFT, qLORA, and LORA.A continuous learner with a growth mindset, always seeking to advance skills and knowledge in the evolving field of machine learning and NLP.
• Excellent communication and collaboration abilities, with experience working cross-functionally with technical and non-technical teams to drive innovative solutions.
• Bonus: Published research or literature in the field of machine learning or natural language processing is a plus but not required.

Please refer the Job description for details