Senior AI Engineering Jobs

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology. We are building an in-house developed, hands-free ADAS platform that will debut in 2027. Our team comprises experts in machine learning, robotics, cloud platforms, and more, all dedicated to making transportation safer and more enjoyable. We operate with the agility of a tech startup while leveraging the resources of Ford. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard sensor suites and offboard cloud infrastructure. Scaling our machine learning models with robust data and fast infrastructure is crucial for achieving optimal performance and enabling a safer future of transportation. The Scalable ML team is responsible for the data generation, orchestration, and distributed training infrastructure that empowers our ML developers to work efficiently with large datasets, bridging the gap between ML Platform, Jobs Platform, Cloud Platform, and High Performance Computing.

$253k - $380k

Code Metal

Code Metal is seeking a Staff AI Platform Engineer to architect and build the foundational AI enablement stack that internal engineering teams rely on. This role involves designing and operating production systems for GPU inference serving, model gateways, agent harnesses, context management, and observability. While primarily an engineering role focused on building and operating production systems, it also requires solid data science and AI research fundamentals to work closely with the AI Research team and conduct experiments when necessary. The platform is built to product standards, ensuring reliability and scalability for AI-driven code transpilation, modernization, optimization, modeling, and simulation solutions.

$205k - $250k

Anthropic

Anthropic is building AI systems that are safe, beneficial, and transformative, with the mission to develop AI that benefits humanity. This role focuses on applying Claude to scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. The team builds the necessary software, including agent harnesses, integrations, evaluations, and working processes, to turn a partner's problem into something Claude can make progress on and validate. This is an engineering role where you will work closely with domain experts, become proficient in using Claude for their specific fields, and prototype quickly. The primary focus is on building and hardening systems to make this work repeatable, rather than just configuring existing products. A science or engineering background is beneficial, but the ability to earn the trust of expert researchers, translate fuzzy problems into concrete and verifiable tasks, and ship solutions is paramount.

$405k - $485k

The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of multi-modal data, build machine learning models to challenge existing production models, and contribute to the model governance framework for the next generation of models. You will also validate a wide variety of models across multiple business domains and present identified model risks to executives.

$123k - $141k

GM is seeking a Senior Performance Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. This role is critical in supporting the development of autonomous vehicles by providing input into large-scale ML infrastructure strategy, advising on cloud budget decisions, identifying and executing optimization projects, and offering capacity planning and engineering expertise. The team's mission is to ensure efficient and scalable ML infrastructure for GM's autonomous vehicle research and development.

$145k - $261k

Athelas

Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM, all on a single AI-native platform connected to over 60 Electronic Health Records (EHRs). We are at the forefront of reducing healthcare's administrative burden, with over 500,000 clinicians and 500+ organizations trusting our solutions to manage billions in claims and millions of patient interactions. This role is crucial for our AI Integration Team, which ensures seamless data flow between our core products and over 40 EHRs, enabling efficient and accurate healthcare data exchange via HL7.

$180k - $230k

Join our Conversation Engine team to scale and optimize a cutting-edge Generative AI product that provides instant assistance to enterprise users. You will work at the core of Moveworks' Generative AI product, focusing on scaling and optimizing it for the enterprise solution space. We encourage innovative ideas to solve unsolved problems, collaborating closely with machine learning experts and cross-functional teams to rapidly iterate on new ideas and leverage user behavior data. Your challenge will be to scale and optimize our conversation engine to support hundreds of millions of users across multiple chat channels and use cases, enhancing our end-to-end product infrastructure with engineering quality and robustness.

$176k - $308k

Applied Intuition

We are seeking senior machine learning engineers to advance the generative modeling technology behind our Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable sensor data and augment real-world logs with new scenarios. Your work will directly influence the development of next-generation data-driven autonomous vehicles for leading OEMs. This position is ideal for engineers passionate about the intersection of generative modeling, computer vision, and machine learning, who are eager to bring cutting-edge research into production and address complex simulation challenges in Physical AI.

$185k - $260k

Databricks

Databricks is seeking a dedicated Senior Engineering Manager to help grow the AI/BI Dashboard product and service platform. This role involves tackling challenging full-stack and backend problems, focusing on making agentic dashboard authoring and AI insights fast and performant while maintaining high quality. The manager will enable the creation and consumption of Dashboards and BI features across the entire Databricks platform and scale the service to a significantly larger user base. A key aspect of this role is applying AI and LLM technology directly into the product surface and guiding the team to balance quality with performance and cost.

$229k - $314k

Salesforce is seeking a Senior Keynote Developer to join the Cross-Cloud Marketing Demo team. This role involves translating leadership's vision into working prototypes and building tools for global teams to run live demos. You will be responsible for architecting end-to-end demo environments and multi-product flows, often showcasing them live on stage at major events. The position requires close collaboration with product marketing, developers, and designers to ensure alignment on what can be safely presented.

$149k - $224k

Capital One is seeking a Director of AI Engineering to lead the development of responsible and reliable AI systems that are transforming the banking industry. This role involves overseeing the design, development, and operation of a platform that enables scientists and engineers to train, fine-tune, and experiment with foundation models at scale. You will be instrumental in shaping the future of AI at Capital One by driving innovation, ensuring scalability, and fostering a culture of learning and technical excellence. This position offers the opportunity to reimagine how we serve customers and businesses through the transformative power of emerging AI capabilities.

$245k - $279k

As a Lead Agentic and AI/ML Engineer within Cybersecurity Technology & Controls, you will be a key technical contributor responsible for delivering secure software solutions. You will shape the future of software security by developing and implementing innovative security protocols, accelerating threat modeling, and performing vulnerability analysis. This role involves applying AI capabilities to enhance security engineering workflows, ensuring tamper-proof and audit-defensible methods across various business functions. You will collaborate with stakeholders to understand security needs and recommend modifications, while also conducting discovery, penetration testing, and threat modeling to identify and assess vulnerabilities.

Salary not listed

Athelas

Commure is building the AI Operating System for healthcare, transforming a $1 trillion administrative burden. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM to streamline care delivery, documentation, and financing. We are seeking an iOS Engineer to help shape and build our next-generation ambient AI platform for healthcare. This role focuses on creating mobile experiences that help clinicians by automatically capturing, understanding, and structuring clinical conversations in real time. You will own meaningful product areas from idea to launch, collaborating with cross-functional teams to translate emerging technology into intuitive and dependable mobile workflows. The ideal candidate possesses strong mobile product judgment, native platform depth, and the ability to learn across the stack, with a focus on creating fast, clear, trustworthy, and natural user experiences in a clinical environment.

$170k - $230k

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 are critical to the business and impact millions of customers. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses, building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

$315k - $359k

Athelas

Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform encompasses Ambient AI for documentation, intelligent Agents for workflows, and autonomous RCM, all integrated with numerous EHRs. We are seeking a Staff Backend Engineer to help build and operate the foundation for our next-generation ambient AI product suite. This role involves working across audio ingestion, media processing, inference orchestration, distributed workflows, storage, observability, and cloud infrastructure, focusing on making complex systems dependable and ensuring they create a fast, reliable, and trustworthy experience for clinicians.

$210k - $275k

Capital One is building responsible and reliable AI systems to transform banking. We are at the forefront of enterprises leveraging AI, using machine learning to create personalized customer experiences and bring humanity and simplicity to banking. Our AI & ML applications range from customer support to real-time question answering. We are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. The Intelligent Foundations and Experiences (IFX) team is central to bringing our AI vision to life. We partner across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams to enhance their products with AI in responsible and scalable ways.

$197k - $225k

Databricks

Databricks is seeking an SAP Technical Lead to spearhead the technical architecture and delivery of their SAP platform. This role involves defining the technical vision for a clean-core S/4HANA landscape, guiding the engineers who develop on it, and architecting the AI layer that connects SAP with the Databricks Data Intelligence Platform. The objective is to establish standards, make strategic build-versus-adopt decisions, and ensure all deliverables are secure, performant, and scalable. The SAP platform will underpin core finance processes like Record-to-Report, Source-to-Pay, and Order-to-Cash, with a focus on leveraging SAP BTP and the Databricks Lakehouse for automated, AI-driven workflows that maintain a clean, upgradable, and fast core.

$198k - $273k

At Capital One, we are building responsible and reliable AI systems to transform banking. Our team, Intelligent Foundations and Experiences (IFX), is at the forefront of this mission, developing and deploying proprietary AI solutions that impact millions of customers. We work with a cross-functional team to advance AI science and engineering, empowering other teams across the company to enhance their products with AI in responsible and scalable ways. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

$197k - $225k

Databricks

As a Sr. Engineering Manager on the Agentic Service Platform team at Databricks, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. The team's goal is to make every service at Databricks fast, reliable, observable, and secure by default. This role involves owning the core agentic service platform, including multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language. Your work will be high-leverage, with a single improvement benefiting thousands of production services and engineers across the company.

$229k - $314k

Athelas

Commure is building the AI Operating System for healthcare, focusing on transforming care delivery, documentation, and financing. Their platform integrates Ambient AI, intelligent Agents, and autonomous Revenue Cycle Management (RCM) processing. The company has processed over $25 billion in annual claims and supports over 200 million patient interactions, recently securing $70 million in funding at a $7 billion valuation. The Revenue Cycle Management (RCM) Product Team specifically focuses on the Insights product, which provides practice staff and administrators with tools to manage operations efficiently. As a Senior Software Engineer on this team, you will be instrumental in scaling and maintaining the website's infrastructure, ensuring a smooth user experience as the company grows. This role also involves defining the technical direction of the Insights' architecture, enhancing reliability, scalability, and performance, and fostering a culture of continuous improvement and technical skill development within the engineering organization.

$40k - $93k

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 Simulation team, focusing on Gaia, Wayve's world model. Gaia is trained on large-scale driving video to predict future frames, functioning as a simulator that generates synthetic scenarios and operates in closed loop with the driving model. The team collaborates closely with Research, Applications, Core Simulation Engineering, and Cloud/Infrastructure to translate model improvements into tangible impacts on the driving stack. You will own and lead parts of large-scale training for Gaia, contribute to model architecture decisions, and mentor others to raise the engineering and research quality bar.

Salary not listed

Perplexity AI

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack, giving us the freedom to develop new approaches across models, agent harnesses, and search infrastructure to use search more effectively, design tools and execution environments around learned behavior, and improve retrieval to support how agents actually work.

Salary not listed

Brex

Brex is seeking a Senior Software Engineer to join the Operational AI team, focusing on building and evolving Brex's internal platform for creating, evaluating, and running AI agents in production. This platform is crucial for automating critical internal operations, such as customer onboarding and providing AI tools for sales and customer success teams. The role involves owning the technical direction of the platform, enhancing its capabilities to support complex agent interactions and secure data access, and strengthening its evaluation and reliability systems. The goal is to make this platform the standard for deploying AI within Brex's operations, directly impacting the company's ability to onboard, serve, and grow its customer base.

Salary not listed

Elastic

Elastic, the Search AI Company, is seeking a Senior Java Developer to join their Elasticsearch team and contribute to the Inference API. This API acts as a crucial integration layer between Elasticsearch and various machine learning services, including Elastic's own offerings and third-party providers like Anthropic, OpenAI, and Google. The role involves maintaining and developing the plugin framework and REST API, with responsibilities spanning protocol design, streaming, asynchronous execution, and billing integration. You will collaborate closely with the wider inference team and the Kibana team to enhance features such as semantic search, reranking, and generative AI across Elastic Cloud and hosted environments.

€61k - €97k