Leading the future of luxury mobility
Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.
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. 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. The Role
Work on state-of-the-art large-scale machine learning projects
Perform advanced platform research and lead the architecture design for efficient ML model training and deployment in scale
Adapt machine learning and data mining algorithms to solve problems across several teams
Develop new machine learning models using structured and unstructured data.
Perform model training, hyper parameter tuning and model parallelization and distributed training to achieve top performance for accuracy and latency.
Perform research and utilize state-of-the-art and best practices for model compression, quantization and optimization for deployment
Perform and streamline continuous model performance monitoring and debugging in production
Research and develop ML computing paradigm such as in-memory on-device or in the cloud distributed learning and employ concepts such as online learning, etc.
Articulate business questions and use mathematical techniques to translate ideas to actionable projects to arrive at an answer.
Partner with internal stakeholders on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making.
Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes.
Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced AI projects or tools can have the biggest impact. Qualifications
Bachelor’s or advanced degree (Masters/PhD) in computer science or STEM field.
2+ years of deploying machine learning solutions in the cloud or edge devices.
Or 4+ years of experience working as Machine learning scientist or Data Scientist collaborating on implementing end-to-end ML pipelines
Programming experience with at least one modern language such as Java, Scala, C++, C# or Python including object-oriented design
Proficiency with machine/deep learning frameworks such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc
Experience in creating production level ML models for training, validation, and inference leveraging real-time systems
Experience working with cloud-based accelerated computing, GPU/TPU, CUDA, parallel computing
Experience with major cloud computing services for model training and hyper-parameter tuning
Experience deploying containers, scaling machine learning algorithms and monitoring programmatically, using open source ML platforms or managed services.
Software development skills; unit testing, integration testing, monitoring and debugging
Critical Thinking and good communication skills Nice to Haves
Ph.D. or Masters in Computer Science, Statistics, Operations Research or related field.
Technical expertise and in-depth knowledge in one or more of the following areas:
-- 1-Anomaly detection and signal processing
-- 2-Advanced machine learning and unsupervised learning
-- 3-Deep learning, convolutional neural networks. RNN, LSTM or Machine Vision
-- 4-Bayesian inference
-- 5-Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
Experience with model compression, quantization and optimization is a huge plus
In-depth theoretical knowledge of Statistics, traditional ML, Deep Learning, CNNs and optimization algorithms.
Experience with analytics and big data tools (Spark, SQL, Presto, Hive) to create horizontally scalable solutions. Technical expertise and in-depth knowledge in one or more of the following areas:
1-Anomaly detection and signal processing 2-Advanced machine learning and unsupervised learning 3-Deep learning, convolutional neural networks. RNN, LSTM or Machine Vision 4-Bayesian inference 5-Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
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.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer. 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.
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.