Machine Learning Intern (Summer 2023)
San Francisco, CA
Applications have closed
Benchling
Benchling is a cloud-based platform for biotechnology research and development and the only biology-first platform for scientific data, collaboration, and insights.Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.
Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.
Come help us bring modern software to modern science.
ROLE OVERVIEW
We're looking for Machine Learning interns to join our Summer 2023 intern class in San Francisco (Benchling HQ). As an intern, you'll be entrusted with a significant degree of ownership to work on either platform and infrastructure or product and application teams. You'll learn to design complex and highly scalable products and systems that will directly impact our customers or other Benchlings! Our past ML interns have worked on building tools for outlier detection, exploring Bayesian Optimization use cases in biology, and quantifying model uncertainty in our flagship Machine Learning product.
YOUR IMPACT
- You will work with and learn from a strong team of scientists and engineers coming from industry leaders. We grow our interns through mentorship and ownership.
- You will own a project end-to-end, from initial design, to prototype, to large-scale rollout. You might:
- Research and prototype a way for lab scientists to analyze results using computer vision instead of human review
- Improve the way we detect and act on outliers in data that Benchling users upload to our systems
- Build a system to do guided physical experimentation using state-of-the-art optimization algorithms
ABOUT YOU
Must haves:
- Current enrollment in a PhD program in a science, statistics, mathematics, or a related technical field, with an expected graduation date between December 2023 - July 2024.
- Prior experience with software engineering via previous work experience, internships, or coursework.
- Strong abilities in working both independently on research and as part of a team to build a more complex product.
- A desire to have ownership over building key pieces of product and/or platform.
Nice to haves:
- Passion about learning about life science.
#LI-DM1
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.
Our leadership principles guide how all Benchlings can lead by example:
- Admit mistakes and shortcomings
- Deliver results
- Disagree and commit
- Obsess over customers
- Rely on work ethic
- Show empathy
- Recruit and develop the best
- Sweat the details
- Think and communicate clearly
- Unite around the mission
For applicants for U.S.-based roles only: All new hires in the United States are required to be fully vaccinated against COVID-19 and to provide proof of vaccination prior to their first day of employment. If you are unable to be vaccinated for medical or religious reasons, we will explore potential reasonable accommodations; however, Benchling may not be able to grant such accommodations in all cases if doing so would cause undue hardship.
If you are a Colorado resident: Please contact us by emailing salary-inquiries@benchling.com to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.
Tags: Bayesian Biology Computer Vision Engineering Machine Learning Mathematics PhD R R&D Research Statistics
Perks/benefits: Career development
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