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Added 2 mins ago
Credentialed SPED Tutor - High School Math & English Language Arts
Tutor Me Education
Redlands, CA
Model strategies for identifying important information, organizing ideas, and developing clear written responses.
Added 3 mins ago
Senior Manager - Sourcing & Procurement
Deloitte
Kansas City, MO
…implementation, advising clients on sourcing opportunities, operating model improvements, and technology-enabled procurement…
Added 3 mins ago
Senior Manager - Sourcing & Procurement
Deloitte
Saint Louis, MO
…implementation, advising clients on sourcing opportunities, operating model improvements, and technology-enabled procurement…
Added 3 mins ago
AWS Java Full Stack Developer
System One
Lafayette, LA
We are hiring a AWS Java Full Stack Developer to develop, maintain, and support applications in an AWS focused financial services environment. This role works across Java and Spring Boot…
Added 3 mins ago
AWS Java Full Stack Developer
System One
Columbia, SC
We are hiring a AWS Java Full Stack Developer to develop, maintain, and support applications in an AWS focused financial services environment. This role works across Java and Spring Boot…
Added 3 mins ago
Rovo & AI Prompt Engineer
Accenture
Saint Louis, MO
…and processes that run it. That work changes the operating model an engineering organization runs on, the ways of working underneath it, and the tooling that makes both of those…
Added 4 mins ago
Resident Piping Engineer - Micron
Bechtel
Clay, NY
Experience with multi discipline interface management and global 3D model oversight.
Added 4 mins ago
Credentialed SPED Tutor - High School Math & English Language Arts
Tutor Me Education
Redlands, CA
Model strategies for identifying important information, organizing ideas, and developing clear written responses.
Added 4 mins ago
J
Director, People & Culture
JFF
Remote, United States
- $140,000 to $160,000 USD / year
Build and manage the Business Partner operating model
Added 4 mins ago
Senior Manager, Partner Development Executive - Global ISV Partnerships
Teradata
Jefferson City, MO
…at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care…
Added 4 mins ago
Senior Director, Market Access Contract Assessment & Development
Otsuka America Pharmaceutical Inc.
Jefferson City, MO
+ Develop quantitative frameworks to (1) include Customer/Payer 360 view, (2) model gross-to-net (GTN) revenue outcomes and consider GP impact, (3) evaluate competitive action
Added 6 mins ago
Real Estate Valuation Consultant
Altus Group Limited/Groupe Altus Limitée
835, NY
Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work - use the office for collaboration and remote work for focused…
Added 7 mins ago
Strategic Account Manager
Allvue Systems
UNAVAILABLE
Strategic Account Management Model Development
Added 7 mins ago
NM
Inpatient Occupational Therapist-Full-time
Northwestern Memorial Healthcare
DeKalb, IL
- $38.5 to $55.83 USD / hour
- Full-time
Serves as a role model for all therapists and clinical interns in all aspects of professional, clinical, communication, education and leadership activities.
Added 8 mins ago
Finance Analytics & AI Senior Consultant
Deloitte
Saint Louis, MO
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close,…
Added 8 mins ago
Finance Analytics & AI Senior Consultant
Deloitte
Kansas City, MO
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close,…
Added 8 mins ago
Finance Analytics & AI Manager
Deloitte
Saint Louis, MO
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA,…
Added 8 mins ago
Finance Analytics & AI Manager
Deloitte
Kansas City, MO
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA,…
Added 8 mins ago
TI
Director, Strategic Accounts Americas
Trimble Inc.
Westminster, CO
- $138,900 USD / year
…the Americas, pioneering an innovative pod-based execution model that unites cross-functional teams to deliver game-changing SaaS and hardware solutions to top enterprise…
Added 9 mins ago
Energy Manager (Entry Level) - St. Louis, MO & Dallas, TX
CBRE
Saint Louis, MO
+ Lead by example and model behaviors that are consistent with CBRE RISE values. Work to build consensus and convince others to reach an agreement.
Added 11 mins ago
Financial Intelligence Analyst
Booz Allen Hamilton_United States
Washington, DC · Vienna, VA
Added 11 mins ago
Engineering Technician, Mid
Booz Allen Hamilton_United States
Wharton, NJ
Added 11 mins ago
Welding Engineer
Booz Allen Hamilton_United States
Warren, MI
Experience with Computer Aided Engineering (CAE) tools and Finite Element Analysis (FEA) to model weld distortion, residual stresses, and thermal cycling to optimize weld joint design
Added 11 mins ago
Data Scientist
Booz Allen Hamilton_United States
Reston, VA
Added 11 mins ago
Emerging and Disruptive Technology Analyst
Booz Allen Hamilton_United States
Reston, VA

DiDi Labs

Machine Learning Engineer - Agentic AI

San Jose, CA, United States
Mountain View, CA, United States

$169,783 to $282,264 USD / year

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Job details

Pay: $169,783 to $282,264 USD / year
Posting language: English
Posted: Nov 5, 2026

Original 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

Autonomous driving software today improves mostly by hand: engineers collect data, train models, and tune modules. This role explores a different approach, in which AI agents take part in that work. Agents propose changes to policy code, data, training recipes, or model code. They then evaluate the results, diagnose failures, and turn verified fixes into reusable skills and data for the next round. With DiDi Voyager's real-world driving data and large-scale evaluation infrastructure, the goal is a loop that produces improvements that generalize across scenarios, pass safety gates, and reach the vehicle. The role combines machine learning, agentic systems, and autonomous driving, and will help shape both the onboard architecture and how driving software is developed.

Responsibilities

Build agentic harnesses for autonomous driving. Agents get permissioned access to the driving stack, data, training infrastructure, and evaluation environments, along with automatic scenario setup and pass/fail checks, so they can run experiments without a person in every step.
Develop recursive self-improvement (RSI) loops. These include failure mining, candidate generation, evolutionary search, and targeted data generation aimed at the policy's current weaknesses. Each round should also improve the process that produces the next one.
Curate a reusable skill library. Verified fixes become knowledge that later tasks can build on, with checks that a skill actually helps before it is promoted.
Train LLMs on our own agent data. Turn development trajectories into training data, and fine-tune LLMs to work fluently with our software stack, tools, and codebase.
Advance agent-as-policy approaches. Agents improve driving behavior directly: they write policy logic, curate data, adjust training recipes and objectives, and trace driving failures back to their causes.
Shape the onboard architecture. Decide what runs on the vehicle and what stays offline, within onboard limits on latency, compute, determinism, and safety.
Work closely with the prediction, planning, simulation, and onboard teams to turn prototypes into production workflows.

Qualifications

Strong background in machine learning, such as deep learning, reinforcement learning, or decision-making systems
Hands-on experience building LLM agent systems, such as tool use, multi-agent orchestration, or automated evaluation loops
Experience training or fine-tuning LLMs for agentic workflows, including trajectory data curation, supervised fine-tuning, or RL from execution feedback
Strong Python skills and working C++
Rigorous experimental habits: controlled comparisons, held-out evaluation, and a clear line between what was measured and what was assumed
Ability to own a system from research prototype to production

Preferred Qualifications

Built an agentic harness or self-improving loop for a specific product or domain
Experience in autonomous driving or robotics, especially planning, prediction, simulation, or sim-to-real transfer
Familiarity with code-as-policy, program synthesis, LLM-driven optimization, or evolutionary search
Publications at top ML or robotics venues (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL, etc.)
BS, MS, or PhD in Computer Science, Machine Learning, Robotics, or a related field

The annual base salary range for the Senior ML Engineer position is $169,783–$282,264. In addition to base salary, compensation includes bonus, equity, and benefits. The salary ranges are determined by role, level, and location. Individual compensation within the range depends on several factors, including work location, job-related skills, relevant experience, and education or training.

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