Staff Engineer

You will:

• 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.

You have:

• 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.