Software Engineer Machine Learning, Full Stack
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
Benchling’s Engineering team is composed of three areas: Applications, Platform, and Customer Engineering. Within the Platform team, the Automation & Analytics group is responsible for building tools for scientists to work with their data in Benchling, and platform components across the engineering organization for ingesting, scaling, analyzing, and visualizing data.
The Machine Learning team’s mission is twofold: we are building a platform to enable Benchling teams to integrate ML models into all parts of the product, and we are building first-party ML models to speed up customers’ scientific processes.
This role specifically focuses on building the service and front-end functionality needed for customers to train ML models and use those models to discover insights in their data.
RESPONSIBILITIES
- Own projects end-to-end, from initial design, to prototype, to large-scale rollout.
- Design and implement rich frontend components and architecture. We build and operate one of the largest, richest React applications out there and power complex scientific analyses.
- Design and implement backend models and API endpoints for complex scientific workflows.
- Work closely with product managers, designers, marketing, and sales to ensure the right context is being shared.
- Help rapidly scale our product and team. As a member of the engineering team, you'll be an integral part of how we mature our tooling, best practices, engineering processes, and hiring.
Check out our engineering blog for some examples of past work. Here are some other examples of recent and future projects:
- Tools to simulate DNA assembly - computers can assist scientists by informing scientific decisions with complex calculations. Our bulk assembly tool allows scientists to simulate constructing hundreds of DNA constructs in parallel, visualizing the end result and highlighting potential issues.
- Chemistry tools - we have focused primarily on biology and biotech for the last 5 years, but are just starting new initiatives to expand our tools to support chemists as well. This will involve modeling complex chemical reactions within Benchling, and is an opportunity to see a new product grow from the ground up.
- Robot and machine integration - scientists are increasingly using automated hardware in the lab to perform measurements. By integrating Benchling with machines like liquid handlers, we are working towards a world where a scientist can perform a physical experiment entirely using software.
QUALIFICATIONS
- Have 3-7 years of experience in software engineering.
- Build software with a product-first approach. You ship code quickly and care about the real world impact of your code.
- Have strong abilities in problem solving and iterating on feedback.
- Enjoy ownership and building key pieces of product.
- Are interested in learning more about life science (prior knowledge is not required; desire to learn is a must).
- Willing to work onsite in our SF office 3 days a week.
SALARY RANGE
Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is:
ZONE 1 $157,250 - $212,750
To help you determine which zone applies to your location, please see this resource. If you have questions regarding a specific location's zone designation, please contact a recruiter for additional information.
Total Compensation includes the following:
- Competitive salary and equity
- 100% premiums covered for health, dental, and vision for employees
- Fertility healthcare and family-forming benefits
- Four months of fully paid parental leave
- 401(k) + Employer Match
- Commuter benefits
- Home office stipend
- Mental health benefits + Wellness stipend
- Learning and development stipend
- Generous PTO
- Company-wide Summer & Winter holiday shutdown
- Sabbaticals for 5-year and 10-year anniversaries
#LI-MD1
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
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.
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.
Tags: APIs Architecture Biology Chemistry Engineering Machine Learning ML models R R&D React
Perks/benefits: 401(k) matching Career development Competitive pay Equity Fertility benefits Health care Home office stipend Medical leave Parental leave Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs