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Sr. Machine Learning Engineer

Company: Lucid Motors
Location: Newark
Posted on: July 31, 2022

Job Description:

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 protocols At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details. Individuals in positions requiring vaccinations may seek a medical and/or religious exemption from this requirement and 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.
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. 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.
Location is flexible on west coast for exceptional candidates.

  • 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 python, Java, Scala, C++, C# or 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: Anomaly detection and signal processing, Advanced machine learning and unsupervised learning, Deep learning, convolutional neural networks. RNN, LSTM or Machine Vision, Bayesian inference, 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 RESTful API design and Web based application development (e.g. ASP .NET, Javascript or C#)
  • Experience with analytics and big data tools (Spark, SQL, Presto, Hive) to create horizontally scalable solutions.

Keywords: Lucid Motors, Newark , Sr. Machine Learning Engineer, Engineering , Newark, California

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