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Didi Jobs (NOW HIRING)

DiDi Labs

Machine Learning Engineer, VLA

San Jose, CA · On-site

$129K - $247K/yr

About The Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In ...

DiDi Labs

Machine Learning Engineer, VLA

San Jose, CA · On-site

$129K - $247K/yr

About The Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In ...

DiDi

Machine Learning Engineer, VLA

San Jose, CA · On-site

$164K/yr

DiDi is a company focused on developing Level 4 autonomous driving technology to enhance transportation safety and efficiency. The role involves designing and training large-scale deep learning ...

DiDi Labs

Machine Learning Engineer, VLA

San Jose, CA

$129K - $247K/yr

About The Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In ...

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How much do didi jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for didi in the United States is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What are Didi drivers?

Didi drivers are individuals who work for Didi Chuxing, a major ride-hailing platform primarily operating in China and several other countries. These drivers use the Didi app to connect with passengers who need transportation, offering services similar to other ride-sharing companies like Uber or Lyft. Didi drivers can work full-time or part-time, and they typically use their own vehicles to pick up and drop off passengers at various locations. To become a Didi driver, individuals usually need to meet specific requirements, such as having a valid driver's license, a suitable vehicle, and passing background checks.

What are some common challenges faced by drivers working for ride-hailing platforms like Didi?

Drivers working with ride-hailing platforms such as Didi often encounter challenges like fluctuating demand, long hours, and navigating busy traffic in urban areas. Managing customer expectations, maintaining a high rating, and ensuring passenger safety can add to the pressures of the job. Additionally, drivers must keep their vehicles well-maintained and stay informed about local regulations and platform updates to maintain eligibility and maximize earnings. Building strong communication skills and learning optimal routes can help address some of these challenges.

What are the key skills and qualifications needed to thrive as a DiDi driver, and why are they important?

To thrive as a DiDi driver, you need a valid driver’s license, a clean driving record, and familiarity with local traffic laws and routes. Proficiency with smartphone navigation apps and the DiDi driver platform is essential for managing rides and customer communications. Excellent customer service, punctuality, and problem-solving skills help drivers deliver a safe and pleasant experience. These skills and qualities are crucial for ensuring passenger satisfaction, maintaining high driver ratings, and achieving consistent earnings.

What is DiDi pay?

Didi drivers are typically paid based on the distance and time of each ride, with earnings calculated per trip. Drivers may also receive bonuses or incentives depending on location and performance, and payments are usually processed weekly through direct deposit or digital payment platforms.

What is the difference between Didi vs Uber Driver?

AspectDidiUber Driver
Required CredentialsDriver's license, vehicle registration, background checkDriver's license, vehicle registration, background check
Work EnvironmentUrban and suburban areas, flexible hoursUrban and suburban areas, flexible hours
Employer & Industry UsageMajor ride-hailing platform in ChinaGlobal ride-hailing platform, primarily in the US and worldwide
Common Search & ComparisonOften compared for ride-hailing services in ChinaOften compared for ride-hailing services globally

Both Didi and Uber Driver are ride-hailing driver roles requiring similar credentials and operating in urban environments. Didi is primarily used in China, while Uber Driver operates globally. The main difference lies in their geographic focus and platform-specific features, but the job requirements and work conditions are quite comparable.

More about Didi jobs
What cities are hiring for Didi jobs? Cities with the most Didi job openings:
What states have the most Didi jobs? States with the most job openings for Didi jobs include:
What job categories do people searching Didi jobs look for? The top searched job categories for Didi jobs are:
Didi jobs near you
Infographic showing various Didi job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 29% Part Time, and 5% Contract. Highlights an 67% Physical, 14% Hybrid, and 19% Remote job distribution, with an average salary of $47,932 per year, or $23 per hour.

Machine Learning Engineer, VLA

DiDi Labs

San Jose, CA • On-site

$129K - $247K/yr

Other

Posted 7 days ago

Job description

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

The VLA Team focuses on building large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. By leveraging DiDi Voyager's unparalleled driving data, we train highly robust and generalizable deep learning systems that enable safe and intelligent autonomous driving at scale.

Our models serve as the core intelligence of the autonomous driving stack, enabling vehicles to understand complex traffic scenarios, anticipate agent behavior, and make safe and efficient driving decisions.

We operate at the intersection of large-scale machine learning, autonomous driving, and foundation model research, pushing the frontier of multi-agent prediction and planning.

Responsibilities

As a member of the VLA Team, you will:

  • Design and train large-scale deep learning models for:

    • Multi-agent trajectory prediction

    • Behavior and intent prediction

    • Planning and decision-making

  • Build foundation model architectures (Transformers, Diffusion, Flow-based models, Decision models, VLM/VLA)

  • Develop scalable training pipelines across hundreds to thousands of GPUs

  • Work with massive real-world datasets and build high-quality data pipelines

  • Optimize models for latency, reliability, and on-vehicle deployment

  • Collaborate closely with perception, mapping, simulation, and systems teams

  • Drive research ideas into production systems used by real autonomous vehicles

Qualifications

  • Strong background in machine learning, deep learning, or robotics

  • Experience with PyTorch / JAX / TensorFlow

  • Solid understanding of modern neural architectures (transformers, diffusion, auto-regressive)

  • Strong coding skills in Python and C++

  • Passion for building real-world, safety-critical AI systems

Preferred Qualifications 

  • BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

  • Experience in autonomous driving, robotics, or embodied AI

  • Experience training large models on distributed GPU clusters

  • Experience with trajectory prediction, planning, or decision-making systems

  • Publications in top ML / robotics conferences (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL, etc.)

The base salary range for this position is $129,189-$247,038 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

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