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Senior Machine Learning Engineer, NLP

  • Anywhere
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 Will

Design, build, evaluate, and deploy advanced ML models, with a focus on NLP and specifically LLMs and SLMs, enhancing the speed and quality of research outputs.
Lead the integration and finetuning of LLMs (like GPT, Gemini, Claude) and SLMs (like Mistral, Llama, Gemma) using methods such as HyDE, RAG, PEFT, qLORA, and LORA to extract and generate insights from complex datasets.
Collaborate with data engineering teams to develop robust data pipelines and with infrastructure engineers to deploy scalable and efficient NLP systems in production environments.
Stay ahead in the field by researching and implementing cutting-edge techniques in NLP, and optimize machine learning workflows using the latest advancements in tools like PyTorch and DVC.
Drive technical discussions, apply best practices in machine learning and NLP, and lead problem resolution to ensure high-quality solutions.
Take ownership of long-term technical strategies that foster innovation and drive the company’s mission forward.
Engage with cross-functional teams, including RD scientists and the Chief Science Officer, to understand and model biological complexities, contributing to interdisciplinary knowledge sharing.
Lead and contribute to agile practices such as sprint planning, estimation, design, and code reviews to maintain a robust development process.
Mentor junior engineers, promote a culture of learning and excellence, and establish industry-leading best practices in machine learning and NLP system development.

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.

Benefits and Perks:

An engaging remote-first culture
A great compensation package that includes BenchSci equity options
A robust vacation policy plus an additional vacation day every year
Company closures for 14 more days throughout the year
Flex time for sick days, personal days, and religious holidays
Comprehensive health and dental benefits.
Annual learning development budget
A one-time home office set-up budget to use upon joining BenchSci
An annual lifestyle spending account allowance
Generous parental leave benefits with a top-up plan or paid time off options
The ability to save for your retirement coupled with a company match!

About BenchSci:

BenchSci‘s mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world’s most advanced, biomedical artificial intelligence software platform.
Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google’s AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We’re a certified Great Place to Work®, and top-ranked company on Glassdoor.

Our Culture:

BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they’re the organization’s beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
We value each other’s differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
Diversity, Equity and Inclusion: We’re committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to [email protected].

Originally posted on Himalayas

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