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Machine Learning Engineer

Software Engineering | Alameda, CA | Full Time

Job Description

About Us

Saildrone designs and manufactures wind and solar powered autonomous surface vehicles called Saildrones, which make cost-effective ocean data collection possible at scale. We are working with governments, civic agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas - be it in mapping out the ocean floor, collecting new CO2 data in hard-to-reach areas, counting biomass to establish fishing quotas, or detecting and stopping illegal fishing and trafficking. We believe that better inputs in planetary models in turn yield better outputs and that the new insights gained in weather forecasting, carbon cycling, global fishing and climate change will have tremendous impact on humanity. We are based in Alameda, CA and are backed by Social Capital, The Capricorn Investment Group, Lux Capital, and The Schmidt Family Foundation.

This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. You will be an integral part of a high-performing, multi-disciplinary team delivering high impact for humanity and future generations.

Saildrone is searching for a Machine Learning Engineer to grow our machine learning team. As a data and robotics company, we have many opportunities for artificial intelligence to further our mission. You will be responsible for participating in all aspects of machine learning efforts at Saildrone, with an emphasis on bringing new capabilities to production readiness.

Check out the press around our ML perception system!

The Role

  • Lead the Machine Learning team as we grow - driving decisions around new products, defining best practices for ML workflows, and implementing robust solutions

  • Create new ML systems to solve challenging problems in perception, robotics and ocean science 

  • Develop software for running ML solutions on Saildrones in the field as well as in the cloud.

  • Apply deep ML for identifying objects at sea like boats, birds, and mammals through visual imagery, radar, passive acoustics, etc

Required skills and experience

  • 5+ years of experience building, training and deploying machine learning products

  • 5+ years of Python experience 

  • Deep understanding of statistics and machine learning algorithms

Desired skills and experience

  • Experience with PyTorch and/or other deep learning frameworks

  • Experience with computer vision and camera systems

  • 2+ years of C++ experience

Location: Strong preference for onsite work in Alameda, but open to remote/telecommuting arrangements.  Only candidates with proper permits to work in the United States can be considered.  

Our waterfront office offers beautiful views of San Francisco Bay in always sunny Alameda. Even our walls have good karma, our offices mix software development with a hardware production line in the former airplane hangar used to film 'The Matrix'.


  • Medical, dental and vision plans for you and your dependents.
  • Active sailing classes: become a certified skipper on boats up to 35ft!  (once COVID safety allows)
  • Short and relaxing ferry ride from the Ferry Building for SF residents
  • Enhanced paternity / maternity programs
  • Competitive benefits including excellent medical, discounted gym, life insurance, 401k plan

Catch up on the latest news about us:

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Saildrone are considered property of Saildrone and are not subject to payment of agency fees.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

In accordance with Saildrone’s mandatory employee COVID-19 vaccination policy, please be advised that all employees are required to be vaccinated to safeguard the health of our employees and their families, our customers and visitors and the community at large.