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Added 13 mins ago
AI Engineer 4 (AI Safety and Multimodal)
Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 13 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 14 mins ago
Staff AI Engineer
Nova Biomedical
Waltham, MA
The Staff AI Engineer will serve as a senior hands-on technical leader within Nova's Data & AI function, designing, building, and operationalizing AI-enabled applications, agents, reusable…
Added 14 mins ago
Staff Data Engineer
DAT Solutions, LLC
Seattle, WA
…billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately,…
Added 15 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Saint Louis, MO
+ Apply machine learning and AI systems to real-world business problems
Added 15 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Kansas City, MO
+ Apply machine learning and AI systems to real-world business problems
Added 15 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Jefferson City, MO
+ Apply machine learning and AI systems to real-world business problems
Added 18 mins ago
Senior AI Engineer, Big Data & AI Solutions
Mastercard
O'Fallon, MO
The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard's…
Added 23 mins ago
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Software Engineer Intern, Software Platforms & Product [Summer 2027]
Zoox
Foster City, CA
- $6,500 to $9,500 USD / month
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 25 mins ago
IC
Ocotillo Technology Fabrication Yield Device Engineer
Intel Corporation
AZ
- $89,010 to $146,440 USD / year
Familiarity with latest machine learning tools applied to process and device analysis to accelerate root cause determination
Added 30 mins ago
Software Engineer, Senior Lead
Toyota
Plano, TX
You will work alongside our talented team of software engineers, machine learning experts, product managers, and engineering leaders. Our Sr. Principal Engineers are leading experts in…
Added 30 mins ago
National Manager, Software Engineer
Toyota
Plano, TX
Cultivate engineering and operational excellence through best practices, metrics and continuous learning
Added 32 mins ago
Distinguished Engineer, AI Security Systems (Remote)
CrowdStrike
Austin, TX
15+ years of industry experience in software engineering, machine learning, or security engineering; 12+ years with a PhD.
Added 42 mins ago
Senior Software Engineer
OCLC, Inc.
Dublin, OH
…shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they…
Added 49 mins ago
WS
Senior Machine Learning Engineer
Wiser Solutions
Remote, United States
- $160,000 to $200,000 CAD / year
Wiser Solutions is hiring a Senior ML Engineer to help build our customer-facing AI platform and get the first features into customers' hands.
Added 1 hour ago
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Sr Machine Learning Engineer
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
As a Senior Machine Learning Engineer, you will build product-focused ML systems for targeting, personalization, offers, and member engagement. Your models will directly influence the…
Added 1 hour ago
Senior Data Engineer
St. George Tanaq Corporation
Jefferson City, MO
We are seeking a Senior Data Engineer to design, optimize, and maintain data pipelines and systems that support HUD AI/ML proofs of concept and pilots. This role will ensure efficient,…
Added 1 hour ago
Staff Full-stack Engineer - - B2B Platforms & Payment Systems (Remote-Eligible)
Capital One
Jefferson City, MO
As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…
Added 1 hour ago
Senior Facilities Engineer
Providence St. Joseph Health
Seattle, WA
Added 1 hour ago
Senior Software Engineer, Infrastructure, Google Workspace
Google
Los Angeles, CA
3 years of experience developing large-scale infrastructure, distributed systems or machine learning, or experience with compute technologies, or hardware architecture.
Added 1 hour ago
Senior Software Engineer, AI/ML GenAI, Core
Google
Kirkland, WA
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 1 hour ago
Senior Machine Learning Engineer
Wiser Solutions
Remote, United States
Wiser Solutions is hiring a Senior ML Engineer to help build our customer-facing AI platform and get the first features into customers' hands.
Added 1 hour ago
Sr. Machine Learning Engineer
FlightSafety International Inc
Seattle, WA
As a Senior Machine Learning Engineer, you will advance machine learning capabilities that help detect and prevent abuse and fraud across Docusign products and services. Your work will…
Added 1 hour ago
Software Engineer Intern
FlightSafety International Inc
Seattle, WA
This position is an individual contributor role reporting to the Senior Manager, Machine Learning.
Added 1 hour ago
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Senior AI Engineer
ARM
Seattle, WA
- $170,900 USD / year
As a Senior Machine Learning DevOps Engineer, you will design and build the ML DevOps infrastructure to streamline the deployment of data, models and software in a production-level…

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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