Staff Engineer - Machine Learning, NLP (Remote)

December 11, 2023

BenchSci

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We empower scientists with the world’s most advanced biomedical artificial intelligence.

Antibody • Research • Machine Learning • Online Platform • Science

201 - 500

💰 Series C on 2022-01

Description

• 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.

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.

Benefits

• An engaging remote-first culture • A great compensation package that includes BenchSci equity options • 15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year • Unlimited flex time for sick days, personal days, religious holidays • Comprehensive health and dental benefits • Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services • A $2000 CAD* Annual Learning & Development budget • A $1000 CAD* home office set-up budget • A $2500 CAD* wellness, lifestyle and productivity spending account for employees • Generous parental leave benefits with a top-up plan or paid time off options *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Amounts are subject to change for start dates in 2024.