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DevSecOps Engineer - TS/SCI Clearance
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Engineer II - Water Resources
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Data Center Mechanical Engineer, Lead Consultant
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Operations Intern
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Prices all drawing revisions and Field Extra Work Tickets; review with Project Manager(s) and submit to General Contractor or client; update stick set and drawing log with each revision…
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Field Engineer
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- $24 to $40 USD / hour
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Substation Engineer
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San Diego, CA
- $58 to $78 USD / hour
Substation Engineer (Remote or Hybrid | California Preferred)
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Hardware Engineer
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Director, Critical Environments - Engineering
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…service providers to provide assistance and expertise to the field in matters beyond the expertise of operations staff (i.e. MEP design Engineer of record, Environmental, Structural, and…
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Spacecraft RF Engineer
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- $150,000 to $190,000 USD / year
We are seeking an experienced Spacecraft RF Engineer to join the flight program team. This role will lead the system-level design, evaluation, PCB layout, testing, and integration of…
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Spacecraft PCB Design Engineer
Motive Companies
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- $140,000 to $175,000 USD / year
Motive Workforce is seeking an experienced Spacecraft PCB Design Engineer to support the development, integration, and testing of electrical hardware for spacecraft programs in Los Angeles.
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Spacecraft Mechanical Engineer
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We are seeking a Spacecraft Mechanical Engineer to join the spacecraft engineering team. This role is focused on the hands-on design, development, assembly, integration, and testing of…
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Spacecraft Lead AI&T Engineer
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We are seeking a Spacecraft Lead AI&T Engineer to lead the mechanical assembly, integration, and testing of spacecraft hardware. This is a full-time, in-office position for an experienced…
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Software Engineer
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Bachelor’s degree in computer science software engineering, computer engineering, or a related field and 5+ years of professional software or a Masters and 2+ years
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Account Executive, Growth
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Enough technical fluency to talk credibly with a robotics engineer about range, resolution, field of view, and integration, and the judgment to know when to bring in a Sales Engineer.
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Construction SW Technical Specialist
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Construction SW Technical Specialist
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Software Development Engineer, Software Defined Network Controller, Amazon LEO
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Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation…
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Lead Software Engineer, Front-End Engineering
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…for millions of customers worldwide. We're looking for a Lead Engineer - an individual contributor who brings strong front-end expertise, solid full-stack instincts, and the technical…
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Product Engineer
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The Dixon Group is looking for a Product Engineer to join our team in Pewaukee, WI! In this role, you'll support the design and development of new products, improve existing products, and…
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Sales Area Manager - Silicon Valley
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You are an applications engineer, sales engineer, or field engineer who wants to own a number.
Added 4 mins ago
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Mechanical Design Engineer
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Tonawanda, NY
- $65,000 to $85,000 USD / year
We are looking for a full-time Mechanical Design Engineer at our Tonawanda, NY location. This is an onsite position that is involved with the development and complete engineering definition…
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Senior AI/ML Engineer - Remote - Central Time Zone Preferred
UnitedHealth Group
Eden Prairie, MN
- $120,100 to $214,500 USD / year
Bachelor's degree in Computer Science, Data Science, or related field
Added 5 mins ago
Installation Driver
DEX Imaging
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Start Your Career in Technology & Field Service

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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