Technical Skills:
Python, Scala or C/C++, Keras, Pytorch, Caffe, MXNet
Job Description:
The Data Science and Machine Learning team 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. This opportunity involves creating end-to-end AI solutions from design and development to delivery of data-driven services and products utilizing AI, big data, cloud, and edge computing. We are currently seeking highly motivated and talented scientists and engineers to support our mission.
• 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:
• 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 ecosystem.
• Excellent communication and presentation skills.
Nice to Haves
• 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
• Be part of something amazing 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.