42dot

ML/AI Engineer - Vehicle Intelligence

Sunnyvale, United States

Sponsorship not specified$189k-$261kDetected 21 days ago

PythonCloud PlatformsMachine LearningTensorFlowPyTorchLLMsNegotiationForecastingSystems EngineeringRoboticsElectrical Engineering

About the role

We are building next-generation vehicle intelligence at 42dot, enabling vehicles to understand user intent, trip context, vehicle state, environmental conditions, and system constraints, then coordinate vehicle behavior to deliver personalized, proactive, transparent, and trustworthy experiences.
As an ML / AI Engineer, you will design and develop AI-driven vehicle intelligence features that help users drive farther, feel more confident, reduce cognitive load, and experience vehicles that adapt to their needs. You will work across vehicle telemetry, user behavior, navigation, energy usage, thermal systems, cabin comfort, charging, simulation, and fleet data to build intelligent systems that can predict, recommend, plan, and optimize vehicle behavior.
This role is focused on applying modern AI and machine learning technologies, including reinforcement learning, multimodal AI, foundation models, large language models, personalization, time-series forecasting, planning, simulation-based learning, and on-device inference. Reinforcement learning will be an important intelligence algorithm for developing adaptive vehicle behaviors, optimizing system-level decisions, and improving vehicle experiences through simulation, fleet feedback, and real-world operating data.

Develop AI-powered vehicle intelligence features that understand user intent, trip goals, vehicle state, and system constraints.
Build models using vehicle telemetry, navigation data, user behavior, weather, traffic, cabin conditions, charging patterns, and fleet data.
Create personalization models that learn user routines, comfort preferences, driving patterns, charging habits, and trip priorities while preserving privacy and user control.
Use simulation, digital twins, and scenario-based testing to train, evaluate, and validate AI behavior before production deployment.
Collaborate with autonomous driving and VLA teams to define interfaces for sharing user intent, route objectives, vehicle constraints, energy targets, comfort preferences, and system-level recommendations.
As an ML / AI Engineer, you will design and develop AI-driven vehicle intelligence features that help users drive farther, feel more confident, reduce cognitive load, and experience vehicles that adapt to their needs.

All documents must be submitted in PDF format and under 30MB in size.
Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Electrical Engineering, or a related technical field.
3+ years of experience developing and deploying machine learning or AI solutions in production environments.
Strong experience with machine learning frameworks and programming languages such as Python, PyTorch, TensorFlow, JAX, or similar tools.
Experience building predictive, optimization, recommendation, forecasting, or personalization models using large-scale real-world datasets.
Solid understanding of reinforcement learning, time-series modeling, statistical learning, and data-driven decision-making systems.

Familiarity with vehicle systems, connected vehicles, mobility platforms, automotive software, energy management, charging systems, or intelligent transportation technologies.
Experience working with multimodal AI, foundation models, large language models (LLMs), agent-based systems, or personalized AI experiences.
Knowledge of deploying ML models to edge or embedded platforms, including considerations for latency, compute efficiency, safety, reliability, and on-device inference.
Experience collaborating with cross-functional teams including product, UX, controls, systems engineering, autonomous driving, or robotics organizations to bring AI-powered features into production.
Application Review
Offer Negotiation
The screening procedures may vary depending on the position, schedule, or other circumstances.

$189,000 -$261,000/year
Additional Information
All documents must be submitted in PDF format and under 30MB in size.
If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.
We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

Apply reinforcement learning, planning, optimization, and data-driven modeling to improve vehicle-level decisions across energy, comfort, charging, routing, and proactive vehicle preparation.

42dot is a mobility AI company committed to solving mobility challenges with software and AI.
As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones.
By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.

Statement
42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
※ Please review the following information before applying.
How to work in 42dot, About 42dot Way → https://42dot.ai/careers/way

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