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Description:
We are seeking a Staff Machine Learning Engineer to join our platform architecture team.
This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery.
You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development.
Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research.
Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level).
You will be responsible for the high-level design of technical solutions end to end.
You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
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.
You will design ML Architecture across multiple ML and Data Teams to build robust, scalable, and production-ready solutions that enhance the speed and quality of life-saving research.
You will write, review, and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
You will contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
You will 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.
You will own ML solutions and long-term technical investments that will drive innovation at BenchSci.
You will lead technical design discussions, apply best practices, diagnose problems, and lead the resolution while fostering an inclusive environment.
You will participate and contribute to Agile grooming, planning, and estimation.
You will promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
You will provide guidance to senior engineers and help to foster a culture of continuous growth.
You will work cross-functionally with different stakeholders, including BenchSci's R&D scientists, to learn, model, and capture the nuances of biology.
Requirements:
You must 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.
You should have strong experience with NLP and LLMs, as well as strong experience with Python and programming fundamentals.
Extensive experience with PyTorch is required.
You must have a 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 is necessary.
You should have experience with data manipulation and processing, such as SQL or pandas.
Experience with Cloud solutions and Cloud architecture, particularly with MLOps, DataOps, and data warehouses, is required.
You must have experience leading technical design discussions, writing and reviewing technical design documents, and providing technical guidance and directions.
You should have the ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
Strong cross-team communication and collaboration skills are essential, along with a growth mindset and a constant desire to learn.
Benefits:
You will enjoy an engaging remote-first culture.
A great compensation package that includes BenchSci equity options is provided.
You will benefit from a robust vacation policy plus an additional vacation day every year.
The company offers closures for 14 more days throughout the year.
Flex time for sick days, personal days, and religious holidays is available.
Comprehensive health and dental benefits are included.
An annual learning & development budget is provided.
You will receive a one-time home office set-up budget to use upon joining BenchSci.
An annual lifestyle spending account allowance is available.
Generous parental leave benefits with a top-up plan or paid time off options are offered.
You will have the ability to save for your retirement coupled with a company match.
Apply now
Please, let BenchSci know you found this job
on RemoteYeah
.
This helps us grow 🌱.