Senior AI Engineering Jobs

Innodata is seeking a Research Scientist to lead the science of data for robotics foundation models. This role involves partnering directly with customers and frontier labs to define how data is designed, structured, and evaluated for next-generation AI systems in robotics. You will leverage scientific judgment to make high-leverage decisions about data capture, synthesis, representation, and evaluation, ensuring that the data collected and generated directly supports the development of robust and transferable AI models for manipulation, locomotion, vision-language-action, and world models.

$160k - $185k

Tenstorrent is seeking a RISC-V AI / HPC & Agentic Software Engineering Lead to work at the hardware-software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role involves integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution and leading the bring-up of a RISC-V-native agentic AI software stack. You will collaborate closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This is a remote position based out of North America.

$100k - $500k

Tenstorrent is a leader in AI technology, developing next-generation AI compute solutions. The Kernel Development and Optimization team is crucial in unlocking the full potential of their hardware for ML and HPC workloads by creating performance-critical kernels. This role involves designing, implementing, and optimizing GPU-style kernels, contributing to host-side orchestration, and ensuring kernel correctness and performance through rigorous testing and collaboration with various engineering teams. You will gain deep insights into AI hardware, learn to optimize kernels outside traditional CUDA ecosystems, and explore AI-assisted workflows for kernel development.

Salary not listed

Toast

The AI Agent & Experience team at Toast is responsible for building the internal platform that enables AI to be a scalable force across the company's product development lifecycle. This includes developing infrastructure, governance, and tooling for AI. The team's products range from an LLM Proxy and AI Key Management to autonomous agents that integrate into the software development lifecycle. As a Senior Software Engineer on this team, you will be instrumental in building these critical systems, including the LLM proxy, agentic workflows, and a plugin marketplace designed to bring AI-native development practices to various teams within Toast.

Salary not listed

We are seeking an ambitious and self-driven AI Engineering Lead to join our Analytics & AI team. This role is ideal for a passionate technologist with deep expertise in Machine Learning, Artificial Intelligence, and modern software engineering, who is motivated by solving complex, real-world problems and shaping technical direction. As a principal technical specialist, you will design and deliver advanced AI solutions, drive engineering excellence, support business development, and act as the go-to person for technical challenges.

Salary not listed

Waabi is a leader in Physical AI, developing technology for autonomous transportation. We are seeking a Senior/Staff ML Ops Engineer to build and evolve our training infrastructure on Kubernetes, focusing on GPU scheduling, autoscaling, and multi-node distributed jobs. You will shape the developer-facing surface of our tools, shorten the development loop for ML engineers, and evangelize best-in-class tooling. This role involves strengthening our data and artifact layer, turning one-off scripts into durable, tested libraries, and making experiments legible through robust experiment tracking and model registries. You will also ship CI/CD for models, build comprehensive observability across the ML stack, and treat documentation and onboarding as a core product surface. Driving adoption through user empathy and prototyping is key, alongside ensuring platform reliability and building secure guardrails.

Salary not listed

As a Senior Manager of Software Engineering at JPMorgan Chase, you will lead and mentor multiple technical teams focused on advancing financial technologies within the Commercial & Investment Bank - Payments (Data Analytics & Regulatory Compliance) Team. You will be responsible for designing and delivering secure, stable, and scalable technology products, driving critical technology solutions across various business functions to meet firm objectives. This role involves setting and scaling operating practices for AI-assisted engineering and SDLC automation, establishing measurable expectations, and ensuring the reuse of proven technology assets.

Salary not listed

Ramp

Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.

$200k - $330k

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This is an architect-and-build role where you will set the architecture for automated bootstrapping of GPU data centers, high-performance virtualization, and fault-tolerant decentralized control planes, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer up to the global management plane that schedules capacity across all data centers. At this level, the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.

$260k - $300k

Crusoe

As a Senior Engineering Manager, you will lead an engineering team focused on making large language models run faster, cheaper, and more reliably in production. This role balances team leadership with core systems and performance engineering on demanding models in production, requiring you to stay deeply technical and hands-on with the inference stack end to end. The work is applied, not academic, with optimizations landing in real customer deployments. You will tailor deployments to customer needs, take workloads from proof of concept to production, and ensure performance gains deliver clear business and customer value. This leadership role combines people management, technical direction, and hands-on coding and profiling, with a customer-facing component and elements of product and technical solutions leadership.

$250k - $300k

Cerebras

Cerebras is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Software Engineer to build and enhance the ML API layer, making this heterogeneous serving system accessible, reliable, and user-friendly. You will operate across our inference APIs, model integration layer, request-routing services, and the Cerebras inference platform to ensure a consistent experience across various models and accelerator backends. This role is at the intersection of machine learning systems, API design, model serving, and distributed systems, enabling new model architectures and inference capabilities while defining stable user-facing behavior and ensuring features like streaming, sampling, tool use, structured outputs, and multimodal inputs function correctly in production.

Salary not listed

Arize AI

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life, focusing on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

$125k - $225k

Faire is a technology wholesale platform connecting independent retailers globally. We leverage AI and machine learning to empower local businesses to compete effectively. This role focuses on the Retailer Growth Data team, developing AI/ML systems for paid marketing and top-of-funnel acquisition. Opportunities include optimizing bidding, keyword intelligence, audience targeting, and incrementality estimation. There's a significant chance to explore AI/ML and LLMs for programmatic content creation, reinforcement learning, and landing page optimization to drive growth.

$211k - $291k

Our Mapping organization is building next-generation mapping systems that move beyond static HD maps toward automated, algorithmic, and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. We are looking for a Senior Software Engineer to design and build the mapping algorithms and geospatial data systems behind automated map reconstruction and maintenance. In this role, you will develop the algorithms and data models that reconstruct, conflate, validate, and maintain map primitives from large-scale multi-modal sensor data, owning the geometric and topological correctness of the map itself. This is a hands-on individual contributor role with strong ownership, where you will drive technical problems end to end, partner closely with Perception, Localization, and Simulation, and apply machine learning where it measurably improves accuracy, coverage, or automation rate.

$171k - $261k

Capital One is seeking a 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 our customers and businesses, building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. This position involves partnering with cross-functional teams to deliver AI-powered products, designing and developing AI software components, and contributing to the technical vision and roadmap of foundational AI systems.

$269k - $307k

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining a fast LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Senior Software Engineer focusing on AI Compute, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This virtualized computing platform powers our own SaaS products and serves external cloud customers through self-serve offerings. The hard problems in rapidly scaling heterogeneous GPU fleets are software problems that we solve by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem, designing the system, and building it through to GA launch.

$220k - $270k

Arize AI

Arize AI is seeking a Senior AI Product Engineer, Backend to join their core team driving product innovation. This role involves building and optimizing the highly scalable distributed services that power Arize's AI and Agent Engineering observability and evaluation platform. You will work on challenging technical problems, from efficient metric computation across billions of data points to designing next-generation OLAP database architectures and implementing advanced dimensionality reduction techniques. The position offers the opportunity to understand how leading engineering teams develop AI and LLM-powered applications and to build the tools that enable them to succeed.

$125k - $225k

Faire is revolutionizing the wholesale industry by connecting independent retailers with global product discovery through technology, data, and machine learning. As a Senior Applied AI/ML Scientist on the Brand Growth team, you will be instrumental in developing algorithmic solutions to acquire and grow brands on our marketplace. This role involves working with structured and unstructured data to personalize user experiences, enhance growth, and drive business impact. You will collaborate closely with product, engineering, marketing, and sales teams, taking ownership of ML projects from conception to production and measurement.

$211k - $291k

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

Salesforce is seeking a Senior / Lead Software Engineer to join their Product Team. In this role, you will translate ambiguous product challenges into high-quality software, collaborating closely with product and design teams to define product direction, development, and success metrics. You will work on core customer workflows, from the user interface to the backend services and data models. A key aspect of this role involves integrating emerging AI capabilities into practical and reliable product experiences, ensuring these features are observable, testable, and maintainable. This position is ideal for someone who thrives on moving quickly from concept to implementation and iterating based on user feedback.

$149k - $314k

Capital One is building trustworthy and reliable AI systems to transform banking. We leverage machine learning for real-time, intelligent customer experiences and are committed to world-class applied science and engineering. The AI Foundations team is central to this vision, working across the research lifecycle from academia to production systems. You will partner with cross-functional teams to deliver AI-powered products, using technologies like Pytorch, AWS Ultraclusters, Huggingface, and Lightning to analyze vast amounts of data. This role involves building AI foundation models through all development phases, from design to implementation, and engaging in high-impact applied research to drive next-generation customer experiences.

$263k - $300k

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

NVIDIA's Silicon Co-Design Group (SCG) is seeking a Senior Memory Systems Engineer to lead the integration of HBM and LPDDR in sophisticated SoCs. This role spans the entire product development lifecycle, from architecture definition to silicon bringup and release, focusing on resolving complex system-level memory challenges. The engineer will be instrumental in ensuring memory subsystems meet performance, power, and reliability targets for next-generation products.

$196k - $311k

The Silicon Co-Design Group (SCG) is at the forefront of chip development, spanning architecture, design, marketing, operations, and productization across various markets including Datacenter, Gaming, Robotics, and Automotive. We are seeking a Senior Engineer to lead system validation, debug, and cross-functional alignment for critical silicon programs. This role is pivotal in ensuring product quality by identifying and resolving complex issues before they reach customers, and by building robust, AI-enabled validation capabilities. Your work will directly impact product success, escape rates, and customer confidence.

$168k - $311k