AI Engineering Jobs with Visa Sponsorship

Anthropic

The People Products team at Anthropic is dedicated to shaping the future of AI at work, focusing on critical aspects of the employee lifecycle. This role involves defining the blueprint for AI in professional environments, from hiring and manager effectiveness to onboarding and fostering company culture through innovative tools. You will work directly with Anthropic's advanced AI, Claude, tackling complex, unsolved problems and moving rapidly from prototype to production. This is an opportunity for individuals who are passionate about improving people practices and want to make a significant impact at a leading AI company.

$405k - $485k

Anthropic

Reinforcement learning (RL) is crucial for Claude's ability to reason, write code, and act autonomously over long horizons. This role is part of the team responsible for building and maintaining the RL training system, which is used to train production models and for researchers across Anthropic to run their experiments. The team collaborates closely with research teams company-wide on the science and engineering required to scale RL effectively. As a Research Engineer, you will be at the heart of RL at Anthropic, with a direct view of RL training at the frontier, as the system you own supports both production and research runs. You will work with collaborators across research teams to understand system performance, identify areas of fragility, and drive future improvements.

$500k - $850k

HUD is seeking a Product Engineer to transform significant product challenges into tangible user experiences across its AI data platform and marketplace. This role involves collaborating with product, design, engineering, research, and go-to-market teams to identify user pain points in AI data creation and training, define product improvements, and develop solutions. The position blends product strategy, interaction design, and full-stack development, requiring the ability to translate complex technical workflows into clear and user-friendly interfaces while retaining necessary detail.

$100k - $225k

As a Staff Data Engineer at Capital One, you will be a leading technical expert contributing to the future of data platforms and banking in the cloud. You will collaborate with data engineers, data scientists, machine learning experts, and product managers to devise scalable and reusable data solutions for complex problems. Your role involves driving innovation, optimizing business outcomes, and delivering strong data and technology solutions. You will promote engineering excellence, mentor junior engineers, and actively recruit talent to build our community. You will operate as a trusted advisor, sharing knowledge through communications, code samples, and blog posts, specializing in a particular subject area while impacting the organization broadly.

$269k - $307k

Gray Swan AI is seeking a Machine Learning Engineer to play a pivotal role in shaping the future of AI safety solutions. This role blends applied research with system building, focusing on developing new approaches to adversarial testing, model evaluation, and robust inference. You will work at the boundary between research and production, translating novel ideas into scalable AI systems that withstand adversarial pressure. Your expertise in deep learning architectures, distributed systems, and parallel computing will be crucial for tackling complex challenges associated with resource-intensive models and advancing methodologies for controlling, monitoring, and analyzing these models in production environments.

$160k - $257k

Anthropic

The Account Abuse team is responsible for ensuring Anthropic's computing capacity is allocated fairly by minimizing resources for bad actors and preventing their return. As a software engineer on this team, you will build the machine learning systems that detect and stop abuse at scale. The ideal candidate can anticipate opponent strategies and responses to countermeasures. This role involves full-stack machine learning engineering across model training, productionization, and evaluation, with opportunities to leverage Claude to accelerate model development and maintenance. The focus is on classical ML applied to structured and behavioral data, emphasizing robust production systems, precise measurement, and safe rollout strategies, as false positives can lead to legitimate customer lockout.

$320k - $485k

We are seeking a highly skilled and visionary Full-Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge open-source frameworks. As a Capital One Manager-level IC, you’ll be on the forefront of driving a major transformation across the enterprise. The Marketing and Messaging team, supported by Enterprise Platforms Technology (EPTech), drives hyper-personalized consumer experiences through enterprise scale, governance, and architectural practices. You will lead a portfolio of diverse technology projects, architect and scale large-scale, cloud-native systems, and innovate with AI/ML technologies to power hyper-personalized user experiences.

$230k - $262k

We are seeking Machine Learning Engineers passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. You will deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with Product, Architecture, Engineering, and Data Science teams. You will drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems and lead large-scale ML initiatives with the customer in mind.

$315k - $359k

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

$269k - $307k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves owning the end-to-end product on each platform, from API integration and intelligent request routing to inference execution, capacity management, and operations. Engineers on this team are highly leveraged, driving multiple revenue streams while optimizing compute resources. The role requires product-minded backend engineers who can navigate platform differences, design cross-provider services and abstractions, and make architectural decisions for reliability and cost-effectiveness at massive scale. The work directly contributes to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

$320k - $485k

Capital One is seeking passionate Machine Learning Engineers to join their team and drive AI transformations. This role involves leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to solve complex business problems. You will have the opportunity to build and scale massive multi-tenant platforms for ML model training and serving, inform infrastructure decisions with a deep understanding of ML techniques, and collaborate within cross-functional Agile teams to create state-of-the-art big data and ML applications. The position emphasizes writing and testing application code, developing and validating ML models, and automating tests and deployment, all within a fast-paced, collaborative, and iterative delivery environment.

$230k - $262k

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across major cloud platforms like AWS, GCP, and Azure. Within this team, the model & inference launch team focuses on the validation pipeline for inference servers and load balancers. This critical infrastructure work ensures that every inference change, including new model launches and performance improvements, is deployed with correctness, performance, and reliability. The goal is to make validation fast, cost-effective, and trustworthy, directly impacting how quickly advanced models and features reach users on all cloud platforms and how efficiently compute resources are utilized.

$320k - $485k

Anthropic

The Computer Use team at Anthropic focuses on enabling Claude to interact with computer interfaces and builds the necessary agent harness and end-user products. This team is integral to the research organization, bridging the gap between product development and model capabilities. As a Product Engineer, you will be responsible for the complete lifecycle of our computer-use and browser-control product surfaces, working across the full stack from user interface to agent runtime and backend services. You will collaborate directly with researchers, ensuring a close connection to the model and user experience. This role demands adaptability, a high tolerance for ambiguity, and the ability to prioritize effectively in a fast-paced environment where priorities frequently shift.

$300k - $320k

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. This role's mission is to have the best observability into production post-training runs at Anthropic, providing the clearest, most trusted view of model quality during training. You will shape what gets measured, keep the signal trustworthy and timely, and investigate surprising results to inform post-training and release decisions.

$500k - $850k

Capital One is seeking a Senior Staff AI Engineer to join their Agentic AI Platform team. This role is central to bringing the company's vision for AI to life, working hand-in-hand with partners to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and deliver value to millions of customers. The team's AI models and platforms empower associates across Capital One to enhance products with AI in responsible and scalable ways, driving high-leverage impact. You will help bring the transformative power of emerging AI capabilities to reimagine how Capital One serves its customers and businesses.

$286k - $327k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI trainers. We are a growing team of researchers, engineers, and operators backed by significant VC funding. We are seeking a Research Manager to lead research focused on enhancing HUD's agent training data and evaluations for frontier models. This role involves guiding research engineers through complex projects, translating findings into scalable methods, and staying technically engaged while ensuring rigorous experimentation and impactful results. The ideal candidate will possess a deep understanding of model training dynamics, including how signals, data, and evaluation design influence outcomes.

$120k - $295k

As a Data Scientist on the Commercial Bank Applied AI team, you will be at the forefront of embedding Generative AI directly into core business processes. You will specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, and Tool-Calling Frameworks. This role is ideal for someone deeply passionate about the practical applications of Generative AI with hands-on experience in machine learning and AI, gained through professional industry work or rigorous academic research. You will partner with a cross-functional team to deliver Generative AI solutions, leveraging a broad stack of technologies to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$136k - $155k

The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes, specializing in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, and Context Engineering. As a Data Scientist on this team, you will partner with a cross-functional group of experts to deliver Generative AI solutions, leveraging a broad stack of technologies including Python, LangChain, AWS, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will be involved in all phases of Generative AI model and pipeline development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$162k - $185k

We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. You will help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences.

$179k - $205k

Capital One is seeking a Sr. Staff AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI in responsible and scalable ways. You will help reimagine how we serve customers and businesses by leveraging emerging AI capabilities and building world-class applied science and engineering teams.

$286k - $327k

Cartesia

Cartesia is pioneering AI architectures that learn and interact with the world like humans. We are seeking a Research Engineer, Data Infrastructure to build the datasets and systems essential for pretraining our foundational models. This role involves developing performant, scalable infrastructure for acquiring, processing, and curating massive datasets, and collaborating closely with research teams to optimize data composition. Your contributions will directly influence the capabilities and quality of our cutting-edge models.

$200k - $350k

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. This role focuses on Multi-Agent systems, which are increasingly vital for AI deployment, from small subagents within products to large groups tackling complex problems. Training Claude for optimal performance and safety in these large groups is a challenging new frontier in reinforcement learning and a new way to scale compute at test time.

$500k - $850k

As a Data Scientist at Capital One, you will be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives. The AI for Data team builds and ships state-of-the-art machine learning solutions to support the data lifecycle within the enterprise, partnering with product, tech, and design teams to deliver personalized experiences. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging ML technologies.

$162k - $185k

Capital One is seeking a Senior Staff AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI in responsible and scalable ways. You will help reimagine how we serve customers and businesses by leveraging the transformative power of emerging AI capabilities, contributing to breakthrough product experiences and high-performance AI infrastructure.

$286k - $327k