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SFDC DevOps Engineer
Synopsys, Inc.
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…ignites the ingenuity of tomorrow. You Are You are the kind of engineer who sees a manual deployment step and immediately starts thinking about how to automate it. A broken deployment can…
Added 6 mins ago
HVAC Controls Engineer
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Participate in initial equipment conceptual development and carefully balance product specifications, process requirements, layout complexity, cost, and lead-time limits
Added 12 mins ago
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Senior AI/ML Engineer
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- $119,800 to $179,800 USD / year
…We are seeking a highly skilled and motivated Senior AI/ML Engineer with 57 years of experience in data engineering and at least 3 years in AI/ML engineering. The ideal candidate will have…
Added 16 mins ago
Manufacturing Engineer
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Added 23 mins ago
Software Quality Engineer I
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…growth and cross-functional collaboration as we work together to engineer the…
Added 27 mins ago
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Data Engineer
Aston Carter
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- $60 to $67 USD / hour
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Added 28 mins ago
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Process Engineer
pladis North America, Inc
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- $116,000 to $154,000 USD / year
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Added 43 mins ago
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Sr. Manufacturing Automation Engineer
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- $149,000 to $164,000 USD / year
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Principal Design Quality Engineer I
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- $120,000 to $160,000 USD / year
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Senior Quality Engineer
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Sr. QC Manager
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- $150,000 to $170,000 USD / year
Proactively identify trends, emerging product risks, recurring defects, process shifts, and performance gaps to support continuous improvement.
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Manufacturing Engineer 2 - POC Meters
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Manufacturing Engineer II
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Consumable Engineer Co-op Chemical
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Senior Supplier Industrialization Engine
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Engineering Internship, Summer 2027
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+ Intelligent Controls & Automation (ICA): Support design, development, and implementation of control systems, robotics, Industry 4.0 technologies, and AI/ML solutions for process control.
Added 55 mins ago
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…technical mastery and guiding teams to deliver new product and process innovations. You will be responsible for tackling the most difficult engineering challenges, pioneering advanced…
Added 55 mins ago
Engineering Manager
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Added 58 mins ago
Process Engineer, R&D Product Support
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…scale and commercialization hand-off. Provide manufacturing-process training and on-site technical support and contribute to cross-functional innovation investment…
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Substation Protection and Controls Engineer - (South)
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We are looking for a Substation Protection & Control Engineer to join our team in our Substation South Group. As a Protection & Control Engineer, candidates will have the opportunity to…
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Senior Software Engineer, Project Leo Customer Terminals
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Senior Software Engineer, Project Leo Customer Terminals
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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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