We launched Lucid in 2016 to build the world’s best cars and accelerate the shift to clean energy. Our vehicles deliver best-in-class performance *and* efficiency. Equally important, we’re building a world-class team: From our state-of-the-art factory in Arizona to our global headquarters in California’s Silicon Valley, we’re recruiting high-performing people who want to help decarbonize Earth. Join us!
Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid’s Luxury brand. Data generated by electric vehicles is rich and diverse and driving insight from it is a very exciting and challenging task. Join us in our mission to be part of the future sustainable mobility.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United States
At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer's guidelines on their first day of employment.
Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Role
Work on state-of-the-art large-scale data analytics and machine learning projectsBuild MLOps pipelines to support experimentation, continuous integration, deployment (CI/CD), verification, validation, and monitoring of ML models in productionHelp build and implement software toolchain, processes, and templates for Data Science and ML team for development and deployment environmentsKeep effective communication with team members to ensure user and technical issues are promptly prioritized and resolvedMonitor resource usage and planning for increased capacityContinuously evaluate the latest packages and frameworks in the ML ecosystemCreate documentation and best practices to share with the ML communityEngage broadly with the organization to identify, prioritize, frame, and structure DevOps requirements for various ML projectsQualifications
Advanced degree in Computer Science, Statistics or related STEM field or bachelor’s degree in computer science Strong programming skills, especially in Python, Scala or C/C++ with relevant experience in a programming intensive role.Familiarity with deep learning frameworks such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.Relevant work experience, including experience writing quality, well-documented and well-tested code for software services Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystemExcellent communication and presentation skills.Nice To Haves
Experience as ML Scientist, ML Engineer or Software Engineer. Experience with AWS cloud environment is a plusRelevant experience in EV, Automotive, Transportation, Telematics or Manufacturing