---
title: 'Machine Learning Engineer at Lucid Motors'
canonical: 'https://feeny.ai/job/machine-learning-engineer-lucid-motors-southfield-87y52w761jvp'
type: 'job'
last_seen: '2026-11-06'
---

# Machine Learning Engineer at Lucid Motors

- **Company:** Lucid Motors
- **Location:** Southfield, MI
- **Posted:** 2026-10-23
- **Last confirmed live:** 2026-11-06
- **Apply:** https://lucidmotors.com/careers/search/5254390007?gh_jid=5254390007

## Job description

## About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

The GeoAI team is building next-generation AI-powered data automation platforms for ADAS and autonomous driving. We are seeking a Machine Learning Engineer to develop scalable auto-labeling technologies that transform fleet-collected sensor data into high-quality training datasets with minimal human intervention.

This role sits at the intersection of machine learning, computer vision, spatial AI, cloud infrastructure, and large-scale data engineering. You will work on perception models, 3D scene reconstruction, foundation models, distributed ML systems, and automated data-generation platforms that accelerate autonomous-driving development.

You will help design, deploy, and operate production-scale machine learning workloads on AWS, supporting the ingestion, processing, training, inference, validation, and delivery of petabyte-scale vehicle and sensor data.

The Role:

Build Automated Data Labeling Systems

- Develop scalable auto-labeling solutions for camera and LiDAR data, including object detection, segmentation, tracking, occupancy, and scene understanding.
- Create label validation, quality monitoring, and active-learning workflows to improve accuracy and reduce manual effort.
- Design cloud-based data processing pipelines for large-scale autonomous vehicle datasets.

Develop Perception & Sensor Fusion Models

- Train and optimize camera, LiDAR, and multimodal perception models for detection, tracking, segmentation, and occupancy estimation.
- Build fusion systems leveraging camera, LiDAR, radar, GNSS/IMU, and map data.
- Improve model performance across diverse driving environments and edge cases.

Apply Foundation Models & AI Automation

- Leverage VLMs, VLAs, and multimodal foundation models for data annotation, validation, scene understanding, and edge-case discovery.
- Build AI-powered workflows that streamline dataset search, curation, and quality assurance.
- Evaluate and productionize emerging AI research.

Build & Scale ML Infrastructure

- Design and operate cloud-native ML platforms on AWS for data processing, distributed training, and inference.
- Develop containerized workloads using Kubernetes, Docker, and Infrastructure-as-Code tools.
- Implement monitoring, security, CI/CD, and cost-optimization best practices for large-scale ML systems.

Productionize Machine Learning Solutions

- Build and deploy scalable training and inference pipelines for fleet-scale datasets.
- Establish MLOps practices for model versioning, monitoring, evaluation, and deployment.
- Partner cross-functionally to deliver reliable, end-to-end ML and data solutions.

Qualifications:

- MS or PhD in Computer Science, Machine Learning, Robotics, Computer Vision, Cloud Computing, Distributed Systems, or a related field.
- Strong software-engineering skills in Python and/or C++, with hands-on experience using PyTorch or equivalent deep-learning frameworks.
- Solid understanding of deep learning, computer vision, 3D geometry, multi-view reconstruction, sensor fusion, and transformer architectures.
- Experience developing detection, segmentation, tracking, depth, occupancy, or multimodal perception models.
- Experience building, evaluating, deploying, and operating machine-learning systems using large-scale datasets.
- Hands-on experience with AWS or a comparable cloud platform, including compute, object storage, container orchestration, monitoring, and identity and access management.
- Experience with Docker, Kubernetes, distributed computing, and production ML or data-processing pipelines.
- Understanding of cloud architecture, infrastructure automation, system observability, reliability, security, and cost optimization.
- Ability to work independently and collaborate effectively across research, software, data, cloud-platform, and vehicle teams.

Preferred:

- Experience in autonomous driving, robotics, mapping, AR/VR, or spatial computing.
- Hands-on experience with 3DGS, NeRF, neural rendering, world models, or synthetic data generation.
- Experience building auto-labeling platforms, active-learning systems, human-in-the-loop workflows, or automated label-quality systems.
- Experience with camera-LiDAR fusion, depth estimation, 3D detection and tracking, and multimodal foundation models.
- Experience deploying large-scale training and inference workloads using AWS services such as S3, EC2, EKS, SageMaker, AWS Batch, Lambda, Step Functions, Glue, and CloudWatch.
- Experience operating distributed GPU workloads and optimizing GPU utilization, scheduling, autoscaling, fault tolerance, and infrastructure cost.
- Experience with infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK.
- Experience with CI/CD, MLOps, experiment tracking, model registries, data versioning, and production observability.
- Familiarity with cloud networking, IAM, encryption, secrets management, data governance, and security controls.
- Familiarity with VLMs, VLA models, SAM-family segmentation models, distributed computing frameworks, Kubernetes operators, and cloud-native data platforms.

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.

Compensation & Benefits: Lucid offers a comprehensive and competitive [benefits package](https://mylucidbenefits.com/) including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.

Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our [Candidate Privacy Notice](https://lucidmotors.com/media/document/candidate-privacy-notice.pdf).

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.

## About Lucid Motors

## Company Overview
- **One-liner**: Lucid Motors designs and manufactures luxury electric vehicles (EVs) using proprietary technology to achieve industry-leading range, performance, and efficiency.
- **Entity Type**: Public (Ticker: LCID)
- **Headquarters**: Newark, California, USA (Silicon Valley)
- **Founded**: 2016
- **Founders**: Bernard Tse (former Tesla board member) and Sam Weng (former Oracle executive); current CEO and CTO is Peter Rawlinson (former Chief Engineer of the Tesla Model S).

## Core Business
- **Primary industry/industries**: Automotive (Electric Vehicles), Clean Technology, Manufacturing
- **Target customers**: Luxury consumers (B2C) seeking high-performance, long-range electric sedans and SUVs; also developing robotaxi partnerships (B2B with Uber and Nuro).
- **Mission or purpose statement**: “To inspire the adoption of sustainable energy by creating the most captivating electric vehicles, centered around the human experience.” [lucidmotors.com](https://lucidmotors.com/company)

## Products & Services
- **Lucid Air**: A luxury all-electric sedan known for having the longest range of any EV on the market (up to 516 miles EPA estimated). Multiple trims including Grand Touring, Touring, and the high-performance Air Sapphire (one of the quickest production vehicles ever made). [lucidmotors.com](https://lucidmotors.com/company)
- **Lucid Gravity**: The company’s first luxury electric SUV, launched in 2024, designed to combine the performance and range of the Air with SUV versatility. [lucidmotors.com](https://lucidmotors.com/company)
- **Lucid Air Sapphire**: A tri-motor, ultra-high-performance variant of the Air sedan (1,234 hp, 0-60 mph in under 2 seconds). [lucidmotors.com](https://lucidmotors.com/company)
- **Battery & Powertrain Technology**: Proprietary EV drivetrain components (including miniaturized drive units and battery modules) that Lucid also supplies to other companies (e.g., supplying battery technology for an electric motorsport series). [lucidmotors.com](https://lucidmotors.com/company)
- **Robotaxi Platform**: Partnership with Uber and Nuro to launch a premium global robotaxi program using Lucid vehicles (announced 2025). [lucidmotors.com](https://lucidmotors.com/careers)

## Market Standing
- **Valuation/Market Cap**: Approximately $8–10 billion (fluctuating; as of mid-2025, market cap has varied between $7B–$12B depending on stock price). *Note: Check current NYSE ticker LCID for real-time data.*
- **Key Metric**: Annual revenue (2024): ~$809 million (publicly reported in SEC filings). Total funding raised prior to going public via SPAC merger (2021) was over $4.4 billion.
- **Notable Investors/Partners**: Public Investment Fund (PIF) of Saudi Arabia (majority shareholder, ~60% ownership); Uber; Nuro; initial SPAC merger with Churchill Capital Corp IV.
- **Growth Signals**:
  - Opened AMP-1 factory in Casa Grande, Arizona (first purpose-built greenfield EV factory in North America) with capacity scalable to 300,000 vehicles annually. [lucidmotors.com](https://lucidmotors.com/company)
  - Opened AMP-2 factory in Saudi Arabia (2023) – the country’s first high-tech EV manufacturing facility. [lucidmotors.com](https://lucidmotors.com/careers)
  - Launched Lucid Gravity SUV (2024) and began European and Middle East deliveries (2025).
  - 2026 marks the company’s 10-year anniversary and preparation for revealing its next groundbreaking model. [lucidmotors.com](https://lucidmotors.com/careers)
  - Partnership with Uber and Nuro for a robotaxi program signals expansion into autonomous mobility services.

## Competitive Advantages
- **Industry-leading efficiency**: Lucid’s proprietary EV technology (miniaturized drive units, advanced battery pack design) enables the longest range per kWh of any production EV on the market.
- **Vertical integration**: In-house design and manufacturing of motors, inverters, battery packs, and software, giving Lucid tight control over performance and cost.
- **Silicon Valley engineering DNA**: Founded by former Tesla executives and staffed with top talent from Tesla, Apple, and other tech/auto companies; strong focus on software, AI, and ADAS development.
- **Saudi Arabian backing**: Deep financial support from PIF provides a long-term capital runway that many EV startups lack, enabling large-scale factory investments.
- **First-mover in luxury EV SUV segment**: The Lucid Gravity enters the luxury SUV market as a direct competitor to the Tesla Model X, Rivian R1S, and Mercedes EQS SUV, with a unique range and efficiency advantage.

## Strategic Focus
- **Scaling production**: Ramping AMP-1 (Arizona) to full capacity and bringing AMP-2 (Saudi Arabia) online to meet global demand for Air and Gravity.
- **Global expansion**: Launching in Europe and the Middle East (2025), with a focus on luxury markets.
- **Autonomous driving**: Developing ADAS/autonomous driving technology (ADAS/AD division) and partnering with Uber/Nuro for robotaxi deployment.
- **Next-generation platform**: Preparing to unveil a new model in 2026, likely a smaller, more affordable EV to broaden market reach.
- **Sustainability**: Emphasis on efficiency as a core sustainability principle — “making the best possible use of the world’s resources” — and operating a factory powered by renewable energy. [lucidmotors.com](https://lucidmotors.com/company)

## Why Work Here
- **Mission-driven impact**: Employees contribute to accelerating the adoption of sustainable energy through cutting-edge EV technology. [lucidmotors.com](https://lucidmotors.com/careers)
- **Engineering culture**: Described as “engineers and artists, visionaries and builders” — a fast-paced, innovation-first environment where engineers work on everything from battery chemistry to ADAS machine learning. [lucidmotors.com](https://lucidmotors.com/careers/life-at-lucid)
- **Growth trajectory**: Rapid scaling from a startup to a global manufacturer; employees have the opportunity to “make a significant — and immediate — contribution to the future of sustainable mobility.” [lucidmotors.com](https://lucidmotors.com/company)
- **Work location & flexibility**: Key hubs in Newark, CA (Silicon Valley HQ); Casa Grande, AZ (manufacturing); Southfield, MI; and King Abdullah Economic City, Saudi Arabia. Roles range from on-site manufacturing to hybrid/remote for software engineering. [lucidmotors.com](https://lucidmotors.com/careers)
- **Comprehensive benefits**: Multiple medical/dental/vision plans, 401(k) with employer match, up to 8 weeks paid parental leave at 100% base pay, company-paid life/AD&D/disability, equity and bonus incentives, mental health support, and on-site wellness resources. [lucidmotors.com](https://lucidmotors.com/careers/life-at-lucid)
- **Employee-led culture**: Employee resource groups (ERGs) and communities that foster connection, diversity of thought, and inclusion. [lucidmotors.com](https://lucidmotors.com/careers/life-at-lucid)
- **Values-driven**: “One Team,” “Integrity in Action,” “Passion For Excellence,” “Act with Urgency,” “Ownership Mindset,” and “Breakthrough Innovation” are core principles. [lucidmotors.com](https://lucidmotors.com/careers/life-at-lucid)

## Sources
1. [lucidmotors.com – Company page](https://lucidmotors.com/company)
2. [lucidmotors.com – Careers page](https://lucidmotors.com/careers)
3. [lucidmotors.com – Life at Lucid](https://lucidmotors.com/careers/life-at-lucid)
4. [lucidmotors.com – Homepage](https://lucidmotors.com/)
5. [Greenhouse – Lucid Motors job board](http://job-boards.greenhouse.io/lucidmotors)

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