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Software Engineer II, Fullstack
PathAI
Boston, MA
Collaborate with product, design, machine learning, and infrastructure teams.
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Project Manager - Water/Wastewater 1 Job Details | Black & Veatch Family of Companies
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Las Vegas, NV
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
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Systems Support Engineer
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Associate Support Engineer
Oracle
Carson City, NV
- $21.3 to $45.05 USD / hour
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Senior Core Infrastructure Engineer - Nashville, TN
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Carson City, NV
- $79,200 to $209,500 USD / year
–Collaborates with the team to ensure cloud infrastructure complies with relevant industry standards and regulations and that documentation is up-to-date
Added 1 min ago
Senior Software Engineer (Institutional, Financing)
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Commercial Technical Program Manager
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- $126,200 to $264,100 USD / year
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Senior Database Site Reliability Engineer – Oracle Database and GoldenGate (IC3)
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Carson City, NV
- $81,100 to $187,000 USD / year
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Technical Account Manager
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Platform Engineer - Remote
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Software Engineer
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Software Engineer, Infrastructure - Central Growth
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Software Engineer, Infrastructure - Central Growth Responsibilities:
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Senior Network Engineer
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Lead Site Reliability Engineer - Remote
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Senior Telecom Engineer
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Vice President, Cloud Platform Engineer
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…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
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Senior MuleSoft Engineer
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IT Specialist (0081769)
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Senior Software Technical Program Manager
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Senior Software Engineer, Ground Station Platform
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Muon is looking for a Senior Software Engineer to join our team and help scale our core platforms. In this role, you'll design foundational architecture, ship customer-facing features with…
Added 9 mins ago
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Associate Support Engineer
Oracle
Concord, NH
- $21.3 to $45.05 USD / hour
Added 9 mins ago
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Senior Core Infrastructure Engineer - Nashville, TN
Oracle
Concord, NH
- $79,200 to $209,500 USD / year
–Collaborates with the team to ensure cloud infrastructure complies with relevant industry standards and regulations and that documentation is up-to-date
Added 9 mins ago
Senior Software Engineer (Institutional, Financing)
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Concord, NH
As a Senior Software Engineer on the Financing Engineering team within the Institutional group, you'll design, build, and scale the systems that safely manage billions of dollars in loans…
Added 9 mins ago
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Commercial Technical Program Manager
Oracle
Concord, NH
- $126,200 to $264,100 USD / year
Oracle Cloud Infrastructure (OCI) is accelerating global growth through advanced AI infrastructure and strategic customer engagement. The Global AI Infrastructure & Strategic Pursuits…
Added 9 mins ago
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Senior Database Site Reliability Engineer – Oracle Database and GoldenGate (IC3)
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Concord, NH
- $81,100 to $187,000 USD / year
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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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