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Position: ML Engineer
Institution: Tesla, Inc.
Location: Fremont, California, United States
Duties: Scale our ability to create 3D reconstructions from sparse data; Draw on your experience and on existing research to develop novel methods to extract data from geospatial sources; Design, build, and deploy software systems to analyze, model, and deliver energy products to customers efficiently
Requirements: Experience working with geospatial data, multi-view geometry, and 3D reconstruction; Strong conceptual grasp of machine vision algorithms for e.g., point cloud registration, feature extraction, and bundle adjustment; Portfolio of successful projects using deep learning libraries, e.g. PyTorch, TensorFlow, OpenCV, or other open-source image processing libraries; Some experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment; Some experience with common Geospatial tools including QGIS, GDAL, or equivalent; Experience with basic software engineering tools, e.g., git, continuous integration, unit testing, and general object-oriented design
   
Text: Tesla homepage Model S Model 3 Model X Model Y Solar Roof Solar Panels Shop Account Tesla Careers Hero Careers About Careers Contact Legal Investors Suppliers Go to search ML Engineer Job Category Engineering & Information Technology Location Fremont, California Req. ID 89948 Job Type Full-time Apply Tesla participates in the E-Verify Program The Role: Tesla’s Energy Fulfillment Software Team builds the software systems and automation that power the delivery of Tesla’s suite of energy products, including Solar, Powerwall, and Solar Roof. We are looking for an engineer who has deep geospatial experience. Responsibilities: Scale our ability to create 3D reconstructions from sparse data Draw on your experience and on existing research to develop novel methods to extract data from geospatial sources Design, build, and deploy software systems to analyze, model, and deliver energy products to customers efficiently Requirements: · Experience working with geospatial data, multi-view geometry, and 3D reconstruction · Strong conceptual grasp of machine vision algorithms for e.g., point cloud registration, feature extraction, and bundle adjustment · Portfolio of successful projects using deep learning libraries, e.g. PyTorch, TensorFlow, OpenCV, or other open-source image processing libraries · Some experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment. · Some experience with common Geospatial tools including QGIS, GDAL, or equivalent · Experience with basic software engineering tools, e.g., git, continuous integration, unit testing, and general object-oriented design Nice to have · Experience working in an enterprise software development environment · Experience deploying machine learning models into production, optimizing inference speed · Familiar with agile and scrum-based software development processes · Familiarity with or experience using cloud or workload-based programming models · Former work with RESTful or RPC APIs and database technologies such as MSSQL, MySQL, or Redis · Ability to read and implement related academic literature and experience in applying state of the art deep learning models to computer vision (e.g. segmentation, detection) or a closely related area (speech, NLP). Tesla participates in the E-Verify Program Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step-by-step tutorial can be found here). Tesla © 2021 Privacy & Legal Contact Careers Get Newsletter Forums Locations
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