AI Engineering Jobs with Visa Sponsorship

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, from SFT and RL to tool use and agent workflows. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, and the platform our own research team uses to build them. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category. This role will focus on developing the algorithms and systems used to train our open models with reinforcement learning, with opportunities to specialize in RL algorithms, scaling research, or training frameworks.

$150k - $350k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the ADAS engineering team, which focuses on the perception and intelligence powering driver assistance systems. The team works across the full ML lifecycle, from data creation to model development and evaluation, with a strong emphasis on measurable impact and shipping production-ready features. You will contribute to core ADAS perception capabilities and end-to-end approaches that allow models to act directly on the world, improving real-world driving performance.

Salary not listed

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The Driving Product team specifically focuses on developing the AI driver's core behaviors, taking models from data and training through evaluation and on-road validation, and shipping them into cars on aggressive timelines. This role involves owning key parts of the training model lifecycle, from data curation to iteration planning, and developing AI driver model architectures and training algorithms to enhance driving behaviors for various levels of autonomy.

$312k - $351k

Blee

Blee is seeking an Applied Scientist to specialize in agent system design, focusing on architecting and implementing the next generation of intelligent compliance systems. This role involves designing frameworks where multiple agents, powered by custom and foundational models, collaborate to identify, track, and explain compliance flags. You will also be responsible for building and optimizing applied AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and training models based on user feedback to deliver more targeted compliance recommendations.

$150k - $275k

Anthropic

We are seeking an Applied AI Engineer to join our Beneficial Deployments team, with a specific focus on maximizing the impact of Claude within the life sciences sector. The primary objective is to significantly accelerate scientific progress across research and development, from early academic discovery to paradigm-shifting biotech and reimagined pharma pipelines. This role involves working directly with leading research partners, embedding within their scientific workflows, and prototyping AI agents that integrate into real research processes. You will also develop essential ecosystem-level tooling, such as MCP servers, benchmarks, and reusable agent skills, to enhance Claude's utility across the broader life sciences community. This position is part of the foundational Beneficial Deployments applied AI team, dedicated to advancing life sciences towards the technological frontier.

$280k - $320k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the AI Libraries team, which builds the foundations that enable Wayve's machine learning engineers and researchers to train, evaluate, and deploy models at scale. You will create high-quality platforms, tools, and reusable abstractions that support thousands of GPUs and accelerate the development of autonomous-driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software. Your day-to-day will involve designing and writing Python, leading projects from discovery through delivery, improving engineering standards, and supporting users as they push the scale and performance of their models. You will build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing, and observability, improving the reliability, performance, and developer experience of systems used across Wayve.

$276k - $311k

Anthropic

Anthropic is seeking an Applied AI Engineer to join the Beneficial Deployments, Life Sciences team in London. This role focuses on integrating Claude into scientific discovery processes, specifically by automating scientific hardware and software in research labs. You will be instrumental in deploying the Model Hardware Standard (MHS) to leading research institutions, scaling learnings through reusable assets, and influencing future product and research directions. The position involves close collaboration with labs to automate experiments end-to-end, from advising and prototyping to writing production code, and requires significant travel.

£225k - £255k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. In this role, you will develop the critical evaluation infrastructure that researchers rely on to understand model capabilities, inform training decisions, and assess readiness for release. Your work will encompass evaluation authoring, distributed execution, and results analysis, with a specific emphasis on pre-training. You will collaborate closely with researchers to enhance the speed, reliability, and ease of use of evaluations, ensuring that the outcomes accurately reflect the models being assessed.

Salary not listed

Wayve is building the leading AI platform for autonomous driving, developing an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the Driving team, which owns the core end-to-end driving model that directly shapes how Wayve's vehicles behave on the road. The team iterates quickly, identifying and resolving issues through data, model, and evaluation changes, and is central to Wayve's Robotaxi launches. This position offers a unique opportunity to lead a small team while remaining deeply technical, contributing to the development of embodied intelligence for real vehicles.

$370k - $395k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€295k - €355k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€235k - €295k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. The Claude Science team is building an AI workbench that consolidates tools for researchers, enabling them to manage literature, databases, scientific computing, analysis, and output generation within a single environment. This role offers the opportunity to shape a new product category, influencing both the product and its architecture. You will act as a technical leader, focusing on the end-to-end researcher experience, collaborating with internal research teams to integrate model capabilities into production, and taking ownership of future product development.

$405k - $485k

Relevance AI is building the future of the AI workforce, empowering teams to delegate meaningful work to intelligent AI agents. Our platform enables the creation and management of agents that handle complex workflows and decisions, already used by industry leaders. We are backed by prominent investors and have secured Series B funding to accelerate growth. Headquartered in San Francisco and Sydney, we operate on a hybrid model focused on curiosity, collaboration, and execution. This role is crucial for building the factory that ships every feature, focusing on an end-to-end system where coding agents can pick up, build, test, review, and deploy tasks safely and at speed. You will own the developer experience, platform infrastructure, and reliability, shaping the foundations of our AI-native platform and multiplying the output of every engineer and agent.

Salary not listed

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Enrichment and Curation team, which transforms fleet-scale driving data into high-quality training datasets, enrichments, and evaluation benchmarks for the company's end-to-end AI Driver and foundation models. You will be instrumental in developing the embodied intelligence that moves real vehicles safely and the ecosystem that future machines will run on.

$312k - $420k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Search & Indexing team, part of the Compute and Data Platform (AI Platform), responsible for making Wayve's multimodal driving data discoverable. The team builds indexing infrastructure for vector and metadata-based retrieval, powering data curation, training set construction, and ML research. You will be the first hire in this team, based in our Sunnyvale office.

$312k - $351k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the AI Validation team, a fast-growing group responsible for proving the safety and effectiveness of the Wayve AI Driver. The team focuses on simulation-led validation across various driving competencies. You will own the validation process for specific driving behaviors, developing metrics, automated tests, and analyzing results to ensure the AI Driver meets product requirements and safety standards. This role offers the opportunity to influence release decisions and contribute to bringing advanced autonomous driving technology to a global market.

$210k - $311k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the AI Platform team, specifically on the AI Libraries team, where you will create high-quality platforms, tools, and reusable abstractions to support thousands of GPUs and accelerate the development of autonomous driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software, focusing on designing and writing Python, leading projects from discovery to delivery, and improving engineering standards.

Salary not listed

Wayve's AI Enablement team builds the shared platforms that enable employees across the company to use language models and AI agents safely, reliably, and cost-effectively. As an early member of this platform team, you will help shape both the technical foundations and the standards for how AI-powered tools are built and operated across Wayve. You will design, build, and operate infrastructure for model access, agent runtimes, and observability. You will take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams. You will also support teams adopting the platform by troubleshooting issues, documenting reusable patterns, and helping people understand what's possible with the tools available.

Salary not listed

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Measurement team within AI Evaluation, focused on building and qualifying offline scene-understanding models that measure driving performance. These models leverage greater compute, larger models, and temporal context to create credible evidence at fleet scale, contributing to the development of a generalizable AI Driver for real vehicles.

$312k - $389k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI labs. As a Research Engineer on the Robotics team, you will develop datasets and evaluations crucial for training and assessing embodied AI systems. This role involves translating research needs into data specifications, creating methods for data validation, and conducting experiments to understand how data characteristics impact model performance. You will collaborate with internal research and engineering teams, and potentially with data vendors and buyers, to enhance robotics data offerings.

$100k - $230k

Anthropic

Our team studies how large teams of agents scale to solve complex problems that a single agent cannot, such as rewriting major codebases or formalizing mathematics. We investigate the impact of increasing agent numbers, compute budget, and task length on performance, cost, and coordination. This role bridges research and engineering, involving designing and running large experiments, building the necessary systems, and analyzing surprising results. We aim to move quickly from vague questions to running experiments, developing the platform and evaluations Anthropic uses to measure and manage large agent teams.

$500k - $850k

Thinking Machines Lab

We are seeking a Software Engineer, Inference to be responsible for the reliability, scale, and efficiency of the systems that serve our AI models to users. This production-facing systems role is central to the company, acting as a bridge between cutting-edge inference techniques and the practicalities of serving live traffic, including rollouts, capacity management, and incident response. You will ensure that performance gains from our research and inference teams reach production safely and remain operational, powering our live serving platform and related products.

$300k - $400k

Wayve is building the AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Performance Architecture team, which focuses on making Wayve's AI workloads faster and more efficient across training and cloud inference. The goal is to unlock new product capabilities by enabling the training of larger models faster and running inference more efficiently at scale. The team plays a crucial role in the company's mission to make autonomy universal and accelerate the transition to a safer, more intelligent future of mobility.

$370k - $395k