Machine Learning Engineer
Newark, CA
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.Put your education to work and take us to the next level.Lucid's Digital organization recently opened a number of jobs tailored specifically for recent MS graduates who are looking to learn, grow and get in on the ground floor of our rapidly accelerating start-up. Working alongside some of the most accomplished minds in the industry, you will use your graduate level experience in ML, Analytics & AI to advance this decade's most exciting brand in automotive.
Bring your fresh ideas and collaboration skill. Bring your compassion for the environment. Bring your thirst for creating something that actually matters. They will all be nurtured here.
You pursued a MS degree for a reason. Let Lucid help you use it by driving to create a better, more sustainable future.
The RoleThe 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. Here’s a bit more on what you’ll be doing in this role,
· Work on state-of-the-art large-scale data analytics and machine learning projects· Build MLOps pipelines to support experimentation, continuous integration, deployment (CI/CD), verification, validation, and monitoring of ML models in production· Help build and implement software toolchain, processes, and templates for Data Science and ML team for development and deployment environments· Keep effective communication with team members to ensure user and technical issues are promptly prioritized and resolved· Monitor resource usage and planning for increased capacity· Continuously evaluate the latest packages and frameworks in the ML ecosystem· Create documentation and best practices to share with the ML community· Engage broadly with the organization to identify, prioritize, frame, and structure DevOps requirements for various ML projects
Qualifications
- 2+ years programming experience in Python, Scala or C/C++ with relevant experience in a programming intensive role.
- 2+ years experience writing quality, well-documented and well-tested code for software services
- Familiarity with deep learning frameworks such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
- Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
Nice to Have
- Experience as ML Scientist, ML Engineer or Software Engineer
- Experience with AWS cloud environment is a plus
- Relevant experience in EV, Automotive, Transportation, Telematics or Manufacturing
Education Requirements
- MS degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical engineering, Data Analytics or Statistics.
Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United StatesAt 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS C++ Caffe CI/CD Computer Science Data Analytics Deep Learning DevOps Engineering Hadoop Keras Kubernetes Machine Learning ML models MLOps MXNet Pipelines Python PyTorch Scala Spark Statistics TensorFlow
Perks/benefits: Career development Startup environment
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