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Autonomous Driving Machine Learning Engineer Jobs

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Develop and maintain agentic frameworks for autonomous system control and calibration. * Develop ...

You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of ...

You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

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Autonomous Driving Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do autonomous driving machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for autonomous driving machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Autonomous Driving Machine Learning Engineer jobs?

For Autonomous Driving Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Autonomous Driving Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 33% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Senior Staff Machine Learning Engineer - Autonomous Driving Foundation Models

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior cloning to intelligent, zero-shot decision-making in diverse global markets.
Responsibilities:
• Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
• World Model Development: Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.
• Policy Evolution: Apply Advanced RL (Online/Offline) and IL to refine driving policies, focusing on long-horizon planning and complex multi-agent interactions.
• Scaling & Data Strategy: Define scaling laws for driving foundation models, overseeing data curation, automated labeling, and post-training at a multi-billion parameter scale.
• Global Generalization: Lead the model’s adaptation strategy for overseas road conditions, ensuring robust performance across varying traffic laws and driving cultures.
Qualifications:
Required:
• 5-8 years of expertise in Deep Learning, with a significant track record in VLM, VLA, or Embodied AI.
• Proven experience in training and deploying Foundation Models (Transformers, LLMs) at scale.
• Deep understanding of Sequential Decision Making, World Models, or Policy Gradient methods.
• Mastery of PyTorch and expertise in distributed training (DeepSpeed, Megatron, etc.).
• A 'Product-First' mindset: The ability to balance cutting-edge research with the deterministic requirements of L4 production vehicles.
Company:
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Founded in 2014, the company is headquartered in Guangzhou, Guangdong, CN, , with a team of 10001+ employees. The company is currently Late Stage.