BenchSci is hiring a
Staff Engineer - Machine Learning, NLP

Summary

The job is for a Staff Machine Learning Engineer in BenchSci's Platform Architecture Group. The role involves designing ML architectures, mentoring teams, and contributing to the company's mission of accelerating life-saving research.

Requirements

• At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level
• Strong experience with NLP and LLMs
• Strong experience with Python and programming fundamentals
• Extensive experience with PyTorch
• Track record of successfully delivering robust, scalable and production-ready ML models
• Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance
• Experience with data manipulation and processing, such as SQL or pandas
• Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses
• Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions
• Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty
• Strong cross-team communication and collaboration skills
• A growth mindset and a constant desire to learn

Responsibilities

• Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives
• Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research
• Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results
• Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible
• Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
• Own ML solutions and long-term technical investments that will drive innovation at BenchSci
• Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment
• Participate and contribute to Agile grooming, planning and estimation
• Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud
• Provide guidance to senior engineers and help to foster a culture of continuous growth
• Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology

Benefits

• 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!