Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $185,000 |
| Median | $206,000 |
| 75th percentile | $240,000 |
| Lowest listing | $100,000 |
| Highest listing | $452,000 |
| Listings counted | 317 |
| Level | Listings | Median pay |
|---|---|---|
| Senior | 85 | $197,000 |
| Lead | 7 | $209,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 292 | $212,000 | $190,000 to $240,000 |
Define the technical learning architecture for AI-native engineering at Expedia Group: role- and level-based pathways for developers (software, machine learning and data engineering) and for builders (product, program, design and business roles), mapped to role expectations.
You'll design, implement, and own the inference systems that serve Zoom's AI models at production scale -- across real-time communication, vision, and language workloads.
The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI.
We are looking for a Distinguished Engineer with outstanding technical leadership in the AI/ML area to drive our high-priority AI initiatives with a clear technology roadmap to deliver innovations across our product portfolio.
Lead end-to-end performance analysis and optimization of innovative LLM pre-training and post-training workloads on the latest NVIDIA hardware and software platforms.
Mastercard · 16d ago
The AI Center of Excellence is seeking a Senior Principal AI Engineer – AI Infrastructure to serve as a technical expert and thought leader for Mastercard’s enterprise AI infrastructure.
As an AI Engineer on the GTM Claudification team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day.
GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness.
As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it.
All of Mercor’s AI work, from training and serving models to building agents, runs on GPUs. Your job is to make that compute fast, fault-tolerant and fully utilized. You’ll own the accelerator platform end to end.
Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration strategies across the enterprise.
We’re looking for engineers to build the AI systems that make Codex agents dependable in production.
The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.
Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines.
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day.
We're hiring Senior / Staff Full-Stack / AI Engineers to build the backend, data and evals behind it, working alongside ML engineers, PMs and the product teams who build on top of it.
As a Senior AI Platform Engineer, you'll build the APIs, SDKs and shared tooling, including eval infrastructure, tracing and model routing, that let engineers across Suno ship agent features faster.
As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers.
Design and develop learning-based, multimodal sensor-fusion systems that transform synchronized sensor history, ego-motion, navigation context, and driving context into a unified spatiotemporal world representation.
We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of.
The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure.
Design and build the deployment generator. Create and maintain platform documentation. Build the bundle pipeline. Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection.
Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments. Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers.
SpaceX · 5mo ago
Design and build the deployment generator. Create and maintain platform documentation. Build the bundle pipeline. Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection.
Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments. Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers.
SpaceX · 5mo ago
Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments.
This role works on Americas business hours, with a schedule that overlaps with our Legal, Compliance, and MLRO teams.
Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions.
We are looking for an experienced AI Research Engineer to join our Speech team.
We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team.
What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits.
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform.
Build and own production supply-chain applications on Palantir Foundry and AIP, including data pipelines, Ontology models (object, link and action types), analytical functions, operational interfaces (Workshop and OSDK) and controlled actions.
Develop and own agentic systems end to end — from scoping the problem with finance partners through the eval harness, retrieval quality, and cost that keep them reliable in production.
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early…
As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale.
As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program.
Together AI · 22d ago
We're looking for a software engineer, reliability-minded but still a builder, to own what happens in production to the Kubernetes-native control plane that provisions and runs our GPU inference fleet.
As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.
As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after.
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Capital OneNew · 1d ago
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day.
The median AI Engineer salary in our $100k+ listings is $206,000 a year, based on 317 live USD listings. The middle half of listings pays $185,000 to $240,000. These figures cover only listings that publish a salary of $100k+ or more, so they sit above pay for AI Engineer roles overall.
Individual $100k+ AI Engineer listings range from $100,000 to $452,000 a year. The 25th percentile of listing midpoints is $185,000 and the 75th percentile is $240,000.
Median pay by level in our $100k+ listings: senior $197,000 (85 listings), lead $209,000 (7 listings). Levels with fewer than 5 listings are left out.
The companies with the most open $100k+ AI Engineer listings are Capital One (55 listings, median $240,000), NVIDIA (30 listings, median $198,000), OpenAI (22 listings, median $251,000), SpaceX (9 listings, median $285,000) and Samsara (8 listings, median $184,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 12, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
