Ocean Career: Machine Learning Lead at Saildrone
3 weeks ago
Ocean Career: Machine Learning Lead at Saildrone ECO Posted On September 28, 2022At Saildrone, we sustainably explore, map, and monitor the oceans to understand, preserve, and protect our world. Saildrone provides real-time access to critical data from any ocean on earth, 24/7/365, and uses proprietary software applications to transform that data into actionable insights and intelligence. Saildrones fleet of uncrewed surface vehicles (USVs), powered by renewable wind and solar power, have a minimal carbon footprint and operate 24/7/365, without the need for a crewed support vehicle.We work with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seasfrom sailing drones into the eye of a Category 4 hurricane to obtain new scientific storm data, mapping 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 included on Fast Companys annual list of the Worlds Most Innovative Companies for 2022 and earned the 2022 Ocean Awards Innovation Award, presented by the Blue Marine Foundation. Saildrones hurricane mission was included as one of the 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, St. Petersburg, FL, and Fall River, MA, 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.The Role As the Lead of the Machine Learning team you will oversee and grow a team of ML Engineers and ML Software Engineers to design, train, test and deploy models for machine learning applications that leverage our unique Saildrone platforms and sensor suites. Example applications include visual and/or acoustic detection, localization and identification of marine traffic and marine wildlife, anomaly detection in oceanographic data measurements and improvement of raw sensor measurements. Sensors that you may work with include cameras, hydrophones, radars, bathymetric sensor suites, carbon sensors, anemometers, etc. Youll work closely with teams designing and implementing sensor payloads on the vehicles to ensure sensor data quality and runtime performance of the models at sea. You will engage with data pipeline teams and external annotation partners to ensure proper preparation of training data. You will lead the design of our machine learning pipelines to make training, testing, and deploying models to drones a breeze.Responsibilities 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 and maintain workflows for training and evaluation of models in the cloud.Develop software for running ML solutions on saildrones in the field as well as in the cloud.Apply deep learning for identifying objects at sea like boats, birds, and mammals through visual imagery, radar, passive acoustics, etc.Productionize and harden models for real-world applications.Mentor and manage the team.Work with a diverse set of teams to establish data recording and quality standards to enable machine learning solutions.Required skills and experience 5+ years of experience building, training and deploying machine learning products5+ years of Python experience2+ years of engineering leadership experienceDeep understanding of statistics and machine learning algorithmsMasters or B.S. in relevant field and + 3 years relevant experienceDesired skills and experience 3+ with PyTorch and/or other deep learning frameworks3+ with computer vision and camera systems2+ years of experience with cloud computing platforms and tools, AWS preferred2+ years of C++ experienceExperience with deployment to Nvidia chipsets for robotics, such as the AGXExperience working in robotics or autonomous vehicle industriesLocation: This position is remote friendly and based 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'.ECO Magazine is a marine science publication committed to bringing scientists and professionals the latest ground-breaking research, industry news, and job opportunities from around the world.The ECO Newsletter is a weekly email featuring the Top 10 stories of the past seven days, providing readers with a convenient way to stay abreast on the latest ocean science and industry news.#J-18808-Ljbffr
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