Senior AI Engineering Jobs

We are seeking a Lead Software Engineer to join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms. In this role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements. Your deep experience of developing and deploying software to production in enterprise environments will be key to enabling our AI strategy, combining practical expertise with AI/ML knowledge to ensure our systems are secure, compliant and performant.

Put your data science and AI expertise to work on challenges that strengthen a global firm and create real-world impact. You will help design and deliver transformative AI and advanced analytics solutions that can be adopted at scale. You will collaborate closely with Product, Engineering, and business partners in a team that values experimentation, delivery, and continuous learning. If you enjoy turning ideas into resilient products and improving how models perform over time, this role offers meaningful growth and visibility. As an Associate, Data Science in the Data Science team within Risk Management and Compliance, you will explore, pilot, and implement impactful AI solutions in partnership with Product, Engineering, and lines of business. You will help build scalable internal tools that integrate into business operations and support effective model management. You will contribute to a culture of experimentation and operational excellence where your ideas are encouraged. You will collaborate with stakeholders to ensure solutions deliver measurable value and become embedded into workflows for lasting impact.

Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness. As an Applied AI Modeling Senior Associate, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase’s branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.

Snorkel AI

Snorkel AI is seeking a Staff Applied AI Engineer to join their frontier AI data lab. In this role, you will research and implement state-of-the-art Generative AI and machine learning techniques to deliver impactful solutions for customers. You will work directly with clients to understand their needs, design AI solutions, and contribute to Snorkel's tooling by translating real-world challenges into reusable recipes and workflows. This position is ideal for individuals who enjoy solving complex problems, bridging AI technology with business value, collaborating with customers, staying current with AI research, and standardizing solutions into internal tooling.

$230k - $360k

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 focuses on advancing reinforcement learning methods for end-to-end driving models, identifying opportunities where learning from reward or feedback can improve beyond behavior cloning. You will take promising ideas from design through large-scale experiments, rigorous evaluation, and integration into their best driving models, contributing to the development of embodied intelligence that moves real vehicles safely.

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, cultivate the next generation of AI builders, and make significant contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Runpod

Runpod is seeking a systems-focused Cloud Infrastructure Security Engineer to safeguard its bare-metal and virtualized GPU cloud infrastructure. This role is crucial for ensuring the security, multi-tenant isolation, and integrity of the underlying GPU cloud infrastructure. The ideal candidate will have deep knowledge of Linux systems, kernel internals, hypervisors, and containerization, focusing on preventing tenant breakouts, securing GPU hardware, and building resilient infrastructure for AI and machine learning workloads. You will operate with an attacker's mindset, identifying and patching vulnerabilities at the lowest levels of the stack.

$152k - $175k

Elastic

Elastic, the Search AI Company, is seeking a hands-on Full-Stack Senior Software Engineer to join their IT Software Engineering team. This role is a 100% individual contributor position focused on developing internal enterprise-grade applications and AI-powered bots using the Elastic Stack. The team is adopting a "Build and Buy" strategy, leveraging custom solutions to replace third-party software. You will lead the technical design, development, and deployment of full-stack web applications and conversational AI bots, taking complete operational ownership of production systems.

$133k - $253k

Credal.ai

Credal is seeking a founding web full-stack software engineer to help build a scalable, performant architecture while maintaining industry-leading security. This role involves owning aspects of stability, scalability, and security, ensuring reliable syncing of billions of records, and contributing to architecture and code quality. You will engage directly with customers to solve complex problems, mentor junior engineers, and take end-to-end ownership of core products. The ideal candidate is a versatile software engineer comfortable across the full stack, excited about Agentic AI/LLM applications, and possesses strong software engineering fundamentals.

$190k - $250k

Stripe

The Link team is building the premier consumer network for next-generation commerce, leveraging over 300 million registered consumers to pioneer the future of Identity, Consumer Finance, and AI-driven transactions. The Consumer Preference team specifically focuses on enhancing the Link experience across web applications and agents, creating a wallet product that empowers consumers with financial insights, rewards, and secure transaction capabilities. As a Staff Full Stack Engineer, you will lead the design and delivery of new consumer features, taking ambiguous product opportunities from initial concept through validation and final launch. This hands-on role involves owning large, cross-functional projects, leading engineering teams, and making critical architectural decisions to balance quality with rapid iteration.

Ironclad is building AI solutions on a massive scale, focusing on the critical domain of enterprise contracts. The Intelligence Platform team specifically owns Agent Assistant, Conversational Search, and Content Understanding, which are core AI capabilities enabling customers and AI agents to effectively interact with contract data. This role involves owning the architecture that integrates Large Language Models (LLMs) with retrieval systems to address complex questions about customer contracts. You will be instrumental in setting technical direction, partnering with product and science leaders, and driving improvements in search quality through rigorous evaluation.

$188k - $270k

Anthropic

Anthropic is seeking a Manager of Applied AI Engineering to lead a team of technical engineers embedded with their largest and most strategic accounts. These partner-customers are key revenue drivers and distribution channels, utilizing Claude to transform their businesses. The team will work hands-on with these organizations, co-designing technical solutions, advising on architecture, developing evaluation frameworks, and guiding advanced implementation patterns for LLMs. The manager will be responsible for hiring, coaching, and growing the team while maintaining technical oversight and setting high engineering standards. This role involves close collaboration with various internal teams and external stakeholders to drive technical impact and shape Anthropic's product and research roadmap.

$320k - $405k

Anduril Industries

Anduril Industries is seeking a Machine Learning Engineer to join the Counter Intrusion MSE team. This role will own the machine learning stack for the team, focusing on designing and training multi-sensor object detection models for edge compute devices and developing learning algorithms to optimize autonomous systems. You will be responsible for the end-to-end design, implementation, and performance of the ML stack, including data collection and training infrastructure. Your work will directly contribute to Anduril's mission of delivering cutting-edge defense technology and will offer opportunities to identify and develop novel ML applications across the product portfolio.

$220k - $292k

Abnormal Security

We are seeking an experienced Senior ServiceNow Platform Engineer to design, build, and operate enterprise-grade ServiceNow capabilities that support critical business operations. You will own platform stability, configuration, and optimization while driving strategic initiatives in automation, Agentic AI, and knowledge management. You will provide technical leadership and governance, manage the team's Agile backlog and ticket queue, write SOPs, and present platform metrics to IT management weekly.

$142k - $204k

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM customization and finetuning. This role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like Pytorch and Huggingface to analyze large datasets. You will be instrumental in building AI foundation models through all development phases, from design to implementation, and engaging in applied research to advance customer experiences. The position requires translating complex work into tangible business goals and collaborating with senior researchers on technical reports and conference submissions.

$219k - $250k

General Motors (GM) is driving the future of mobility with advanced self-driving and electric vehicle technologies. The AV ML Infra team builds ML infrastructure to support AI and ML innovation across various teams, enabling scalable ML experimentation and enhancing ML engineer productivity. This Principal AI/ML Engineer role will lead the AV ML Infra team, shaping long-term vision and execution strategies for GM's AI and ML efforts. The focus is on developing infrastructure products that empower teams to perform machine learning and data science at scale, rather than applying ML models for specific tasks.

$276k - $341k

Salesforce Enterprise Security is seeking an Enterprise Application Security Engineer for their Secure AI team. In this role, you will collaborate with business stakeholders and technology partners to ensure AI tooling meets Salesforce's security requirements as AI is deployed at scale. You will have the opportunity to identify emerging threats, design processes that balance security and business agility, and share your knowledge through internal events, conferences, and research.

$149k - $260k

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 Core Model Safety team, which builds foundational capabilities for assisted and automated driving, focusing on collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering. As a Senior/Staff Machine Learning Engineer, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. These are rare, high-consequence events that place unusual demands on data, modelling, and validation. You will take the program from problem definition through modelling, evaluation, integration, and evidence for deployment, driving core model safety roadmap themes and owning the full lifecycle from research to offline/online experiments to technology transfer.

$312k - $389k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will have the opportunity to work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, participating in the creation of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Stripe

Stripe is seeking product-minded engineers to join the Builder Experience Team, which focuses on improving how Stripe's product teams build, ship, and iterate on products. This team is AI-native and reimagines workflows using AI agents and automation to address fragmented and manual processes. The role involves identifying high-friction areas in the product development lifecycle, prototyping new approaches, and scaling successful experiments into solutions used across Stripe. You will work across the full stack, combining traditional software engineering with emerging AI capabilities to discover the right product, interface, and technical architecture in ambiguous problem spaces.

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 Model Foundations team, which builds the geometric vision and 3D foundation models that underpin Wayve's autonomous driving systems. You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics to develop models that learn 3D structure and dynamics from fleet-scale sensor data. As a Principal Engineer, you will be a hands-on technical leader, setting direction for geometric vision, prototyping and training new model architectures, building the data and supervision needed to scale them, and taking successful ideas through to deployment on real vehicles.

$370k - $420k

Wayve is seeking a Robotics Software Engineer to join our Online Calibration team and support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime. Working across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, you will help shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety. Your day-to-day will involve developing robust production software for online calibration, operating continuously on constrained, hardware-accelerated platforms, and working with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters, balancing correctness, debuggability, and runtime efficiency.

$276k - $294k

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