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!
