Sr. Principal Machine Learning Engineer

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.

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.

Location is available at Newark, CA or Beaverton, OR.

The Role:

• Work on state-of-the-art large-scale machine learning projects
• 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
• Help design and implement efficient software and contribute to the team’s code base through SDLC best practices.
• 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.   
• 3+ years of deploying machine learning solutions in the cloud or edge devices.
• Or 5+ 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. 

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

·       California (Bay Area) - $177,000 - $253,500

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

Lucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

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.

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