About the company At Saildrone, we sustainably explore, map and monitor the oceans to understand, preserve, and protect our world. Saildrone designs and manufactures wind and solar powered autonomous surface vehicles called Saildrones, which make cost-effective ocean data collection possible at scale. We work with governments, civic agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas - be it in sailing drones into the eye of a Category 4 hurricane to obtain new scientific storm data, 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 drug trafficking. As a result of our work, we have been selected as one of the "Forbes Top 10 Wonders of 2021", as well as the Smithsonian Institute's "Top 10 Ocean Stories of 2021", New York Times' "Top 21 Things that happened (for the first time) in 2021", and Popular Science's "100 Greatest Innovations of 2021". We are based in Alameda, CA, with offices in Washington DC and St. Petersburg, FL and operate our missions worldwide. We are backed by top-tier investors in the frontier-tech and sustainability sectors, including Social Capital, Capricorn, Lux Capital, BOND Capital, and Emerson Collective.
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 delivering high impact for humanity and future generations.
As a software engineer on the Machine Learning (ML) Team you will help to develop and implement our machine learning operations (MLOps) stack. You will be responsible for working closely with machine learning engineers and oceanographic domain experts to ensure that they can easily and efficiently define datasets, train and share models and test and deploy those models on the Saildrones. You’ll also work closely with our Data Pipeline team to ensure that data coming from a variety of sensors on the robots (e.g. cameras, radar systems, bathymetric sensor suites, hydrophones, maritime automatic identification system, etc.) is stored effectively for ML training and testing workloads both while the robots are at sea and in port.
Strong Python skills and the ability to design and implement reliable, maintainable, and testable object-oriented code leveraging CI testing, hardware in the loop testing and version control. Must have experience with one (or more) of the most popular machine learning frameworks and one (or more) of the most popular cloud computing platforms. Strong interpersonal skills - someone who pairs well with others, and is eager to help guide the technical direction of our software stack, and diligently review other’s code and designs.
Experience with C++ and runtime libraries for machine learning models, such as TensorRT, will be an added advantage. Knowledge of bazel build systems and python bindings would help a candidate stand out. Experience training and deploying models on edge devices would be very beneficial as would an understanding of the lifecycle of machine learning models under continuous development.
3+ years with Python
2+ years with Machine Learning Frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
2+ years with Cloud Computing Platforms (e.g. Amazon Web Services, Google Cloud, Microsoft Azure)
Location: This position is in Alameda, CA. 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.
Short and relaxing ferry ride from the Ferry Building for SF residents
Enhanced paternity / maternity programs
Competitive benefits including excellent medical, life insurance, 401k plan
Instructions how to apply Apply at this url: https://Jobhunt.ai/machinelearning-ml-ai-job-zi-Sr-Software-Engineer-Machine-Learning-Alameda-Saildrone.html Please mention that you found the job at Jobhunt.ai
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