AI Engineering Jobs with Visa Sponsorship

Firecrawl is seeking a highly motivated and product-focused engineer to enhance how AI agents discover, understand, and utilize Firecrawl's capabilities. This role emphasizes rapid iteration, rigorous A/B testing, and translating learnings into product improvements for a non-human user base. It requires a blend of scientific rigor in product development, including hypothesis formation, experimentation, and data analysis, rather than pure research or data science. Prior experience with AI agents is beneficial, but strong engineering skills, a fast shipping cadence, and a quick learning ability are paramount. Firecrawl provides the easiest way to convert web content into data usable by AI agents, solving a critical problem for LLM development. The company has experienced significant growth, backed by substantial funding, and is building foundational AI infrastructure.

$235k - $260k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Vision team is seeking a research engineer to focus on visual and spatial reasoning as core capabilities for LLMs. This role involves owning the end-to-end process of creating training data and RL environments for visual knowledge work. You will identify tasks, build evaluations, design rewards, and scale data, combining applied research with hands-on data work. Collaboration with external vendors, pretraining, RL, and product teams is essential to ensure the environments built translate into real-world knowledge work capabilities.

$350k - $850k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, and our Core Services team is responsible for the foundational infrastructure that enables models to run code, use tools, and take actions safely and reliably. This role involves designing, building, and operating a sandboxing platform where models can execute untrusted code and interact with tools. This is critical infrastructure that supports both internal research and external product development, requiring a focus on speed, security, and dependability.

$300k - $400k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, developing tools for model customization, and crafting interfaces for human-AI communication. This role is crucial for shaping the fundamental reasoning capabilities of our models by owning the late-stage training process. It involves a blend of fundamental research and practical engineering, making it ideal for individuals comfortable working at the intersection of pre-training and post-training.

$350k - $475k

Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to build and deploy proprietary AI solutions that enhance customer experiences and business operations. The IFX team advances the state of the art in AI engineering and builds platforms that empower other teams across Capital One to leverage AI responsibly and at scale. You will contribute to reimagining how Capital One serves its customers and businesses through the transformative power of emerging AI capabilities.

$162k - $185k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training AI models at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses to build them. This role involves building Prime Agent, an open-source coding and research agent, and will span product development and underlying agent systems. You will own features end-to-end, from design through deployment and monitoring, shipping at the pace of an early-stage company tackling a critical problem in AI.

$150k - $300k

Anthropic

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

$500k - $850k

Thinking Machines Lab

At Thinking Machines, we build tools that empower individuals to customize AI models for their specific needs, including the ability to train model weights. In this role, you will focus on frontier customization techniques and contribute to developing a leading post-training engine called Tinker. Your work will involve a comprehensive understanding of Reinforcement Learning (RL) science, and your findings will directly influence Tinker's training defaults, API design, and the open-source Tinker Cookbook. You will collaborate with internal research teams and contribute to open science initiatives for external partners.

$350k - $475k

HUD is seeking a Delivery Engineer to manage complex, time-sensitive data and evaluation programs for leading AI labs, data vendors, and internal teams. This role involves transforming ambiguous technical requirements into actionable plans, coordinating resources, and ensuring the quality and utility of data for evaluating and enhancing LLMs and agents. You will also be responsible for vendor management and developing processes and tools to support scalable and reliable delivery. This position offers the opportunity to work on critical AI infrastructure, backed by significant VC funding and a growing team of accomplished researchers and engineers. You will play a key part in shaping the future of AI by ensuring data integrity and facilitating effective model development.

$100k - $225k

Anthropic

The Encodings Infra team at Anthropic maintains the libraries that engineers and researchers use to encode text and multimodal data for Claude. This team also defines Claude's prompt structure, including how user turns are represented and how Claude interacts with tools. As a Software Engineer on this team, you will be responsible for the design and upkeep of these libraries, ensuring their APIs are intuitive, performance is optimized, and abstractions are robust. Your work will span across various systems, from pretraining to finetuning and the API, requiring close collaboration with researchers and engineers to facilitate the rapid transition of new encoding ideas from experimentation to production.

$320k - $405k

The Bank Customer Protection Debit & Claims Data Science team builds machine learning models to help customers spend safely and recover from payment issues. Within the Agentic Claims area, we are developing solutions to reduce customer and contact center effort while accelerating issue resolution. This role is at the forefront of transforming claims management, blending leadership with hands-on innovation. You will lead cross-functional initiatives, influence stakeholders to adopt new techniques, and expand our solution set. While providing strategic oversight and leading a small team of data scientists, you will also be deeply involved in data exploration, model development, and owning the end-to-end solution deployment lifecycle. Furthermore, you will establish foundational datasets, tools, and evaluation protocols for broader Enterprise AI developments.

$230k - $262k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, with a focus on training frontier models and developing tools that allow users to customize AI for their unique needs. This role leads the Fine-tuning Science team, focusing on frontier customization techniques and the Tinker post-training engine. It's a player-coach position where you will remain hands-on with scientific research while also guiding the team, shaping its direction, and ensuring research findings are integrated into Tinker. You will collaborate with internal research teams, contribute to open science, and engage with external users.

$350k - $475k

Anthropic

We are seeking software engineers to join our Safeguards team, focusing on building robust safety and oversight mechanisms for our AI systems. This role involves developing distributed and scalable systems to monitor models, prevent misuse, and ensure user well-being. You will work to detect unwanted model behaviors and prevent disallowed use, applying your technical skills to uphold principles of safety, transparency, and oversight while enforcing terms of service and acceptable use policies.

$320k - $485k

We are seeking a Data Engineer to construct the ingestion and search systems that power our AI products. Our data sources are diverse, including global patent literature, case law, technical standards, scientific databases, academic papers, and web content, spanning structured records, documents, images, audio, and video. You will be responsible for both bulk ingestion and on-demand retrieval, ensuring this information is searchable and integrated into our products. You will own systems from initial source acquisition through to serving queries, working closely with AI researchers and product engineers with significant autonomy in system design and implementation.

Salary not listed

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that drive campaign efficiency and advertiser ROI on our programmatic advertising platform. This platform operates at a massive scale, handling millions of queries per second, powered by proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you will directly impact the efficiency and profitability of ad campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

Salary not listed

Artisan

Artisan is building a new, ambitious project at the frontier of agentic AI, pushing the boundaries of what AI agents can achieve. This role is for a hands-on technical lead responsible for designing and building the core AI architecture, focusing on agent behavior, multi-agent systems, tool use, context management, and evaluation. The position offers broad technical ownership as an individual contributor, involving consequential architecture decisions, writing critical system components, and close collaboration with existing engineers and leadership. The ideal candidate enjoys tackling uncertain problems and executing detailed engineering to deliver robust solutions.

$250k - $325k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their AI and shape its future. This role focuses on designing and operating large-scale multilingual data pipelines, ensuring the quality and effectiveness of data used for training advanced language models. You will contribute to scientific experiments aimed at improving multilingual data efficiency in large language models and develop evaluation sets to identify and address model performance gaps across different languages and domains.

Salary not listed

Anthropic

The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML-based safety systems. This role involves collaborating closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production, owning the research-to-production transfer of new safety technologies critical for every Claude model launch. The team builds for scale, serving thousands of ML classifiers for all requests on the token generation path and for every platform Claude runs on. Engineers will work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing platforms and tools that enable safeguards to operate reliably at scale, with tooling and infrastructure used for every model launch.

$320k - $485k

Anthropic

The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services are critical, sitting on the token generation path across every platform Claude runs on. You will be responsible for keeping p99 latency flat as traffic grows, building for robustness against dependency failures, and safely shipping changes to a system that cannot go down. This role requires a strong foundation in distributed systems and a focus on designing systems for graceful degradation.

$320k - $485k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build on. Founded by MIT PhDs and CMU Professor, the company leverages deep research expertise and production systems experience. The Role focuses on bringing new image and video models to the Modelverse platform, prioritizing speed to launch. You will own the initial integration, coordinate deployment with the cloud team, and work with product engineers on API and Modelverse integration. After launch, you will hand off optimization tasks and maintain the shared code for model integration and serving.

$170k - $240k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build upon. We are seeking a Machine Learning Engineer focused on post-training and evaluation to enhance the efficiency and quality of visual generative models. In this role, you will develop and validate post-training techniques, curate and manage data pipelines for training and evaluation, and build robust evaluation systems to measure model performance. You will also benchmark models against industry standards, ensure quality, and integrate cutting-edge research into production workflows.

$180k - $250k

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 reliably 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.

$320k - $485k

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology with its in-house ADAS platform, set to debut in 2027. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard vehicle sensors and offboard cloud infrastructure. This role is within the Scalable ML team, which is crucial for improving the efficiency of model training and enabling ML developers to work effectively with large datasets to achieve optimal performance and advance transportation safety.

$179k - $269k