Senior AI Engineering Jobs

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer, you will work with industry-leading technology companies to integrate new AI capabilities into their products. This role involves partnering directly with experienced product and engineering teams to transform frontier model capabilities into new features and agentic experiences, combining rapid experimentation with the demands of established products. You will take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale, writing and debugging code, building evaluation systems, and resolving complex integrations. Success is measured by production systems, sustained adoption, and meaningful customer impact.

$251k - $278k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Anthropic

Anthropic is dedicated to building AI systems that are safe, reliable, and steerable, aiming to benefit both users and society. This role is central to advancing Reinforcement Learning (RL), the core technology enabling Claude's reasoning, coding, and autonomous capabilities. The RL Scaling team focuses on how RL performance, stability, and learning efficiency evolve with increasing model size, episode length, and compute power. You will be instrumental in developing and scaling next-generation RL algorithms and architectures, from initial research to large-scale deployment, while deeply understanding and addressing the challenges that arise at scale. This position bridges research and engineering, requiring you to build the systems that accelerate iteration and experimentation, and to tackle complex, unsolved problems in Anthropic's largest RL runs.

$500k - $850k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

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

Salesforce is seeking a highly accomplished technologist to join their Forward Deployed Engineering Team as an Expert Agent Builder. This role is at the pinnacle of AI technical expertise, focusing on architecting, designing, and building complex agentic systems to solve challenging customer problems. The successful candidate will translate ambiguous customer needs into concrete, executable AI solutions, driving transformative AI solutions by tackling the technical frontier of intelligent automation. This involves building first-of-their-kind, best-in-class experiences for major brands, including headless agent automations, dynamic AI-driven custom user interfaces, and complex multi-agent solutions. The role demands unparalleled software development mastery, deep software architecture skills, and a relentless focus on implementing engineering best practices to deliver maximum tangible value in dynamic, real-world enterprise environments.

$158k - $288k

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

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k

Salesforce is seeking a Senior AI Engineer to join the Agentforce Operations team, a high-velocity 'startup-within-Salesforce' focused on revolutionizing the public sector supply chain with an AI-powered platform. This role offers the unique opportunity to build a '0 to 1' product in a rapidly growing vertical, working alongside a founding team with deep startup roots but backed by the global scale of Salesforce. You will be instrumental in shaping both the product and the engineering team, partnering with product leaders and sector experts to deliver trusted AI systems for mission-critical public-sector workflows. The role involves building AI features tailored to public-sector customers, designing systems with security, compliance, reliability, and operational constraints at their core, and operating with wide autonomy to raise the bar for technical quality and mentorship.

$149k - $224k

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

Datadog

The Agentic Interfaces team at Datadog is seeking a Staff Applied Scientist to lead the evaluation strategy for AI agent integrations. This role focuses on defining and building the measurement systems that ensure AI agents interacting with Datadog's observability, security, and software delivery data are continuously improving. You will be responsible for establishing metrics that cover answer quality, tool selection accuracy, retrieval relevance, latency, and cost, and will partner with AI engineers to implement these systems. This is an opportunity to tackle open research questions in agent-data interaction, such as evaluating non-deterministic trajectories, scoring tool selection in large catalogs, and building scalable measurement systems that benefit both first-party and third-party agents.

$276k - $345k

Capital One is seeking passionate Full Stack Software Engineers to join their Agentic Technology team. You will be instrumental in building and pioneering AI features and products, solving complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to be at the forefront of driving significant transformations within the company by leveraging emerging technologies and data.

$179k - $205k

Datadog

The Internal Product Analytics (IPA) team serves as the analytics backbone for Datadog's Product organization, providing PMs and leadership with the data, tooling, platform, and analysis necessary for informed decision-making. The team is responsible for recurring analytical tasks and developing AI-first workflows to enhance the speed and consistency of analysis across the organization. As the Manager of IPA, you will lead a team of data analysts, collaborate closely with Product Managers, and partner with platform engineering teams. Your role will involve setting the strategic direction for team analysis, AI-first tooling development, and cross-functional partnerships, focusing on transforming complex data and open questions into clear, actionable insights.

$160k - $200k

Capital One is building a new AI-native platform to empower business users to execute AI-assisted analysis across various lines of business. This enterprise platform will serve over 15,000 users, integrating deterministic code with reasoning systems and both frontier and homegrown AI models to transform data analysis within the company. The role involves partnering with cross-functional teams to deliver AI-powered products, designing and developing AI software components, and leveraging a broad stack of open-source and SaaS AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques to enhance the performance of large-scale production AI systems, contribute to the technical vision and roadmap of foundational AI systems, and set the technical direction for enterprise-wide AI architecture.

$245k - $279k

Datadog

Code Intelligence is at the intersection of agentic engineering and product, running agents against real customer source code in production. This role offers the opportunity to lead an AI-native team in a business-critical growth area, providing high visibility and leverage within the fastest-growing segment of the AI agent space. Datadog operates as a hybrid workplace, valuing office culture for collaboration and creativity while ensuring employees can achieve work-life harmony.

$192k - $240k

Capital One is seeking a Staff 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 deliver AI-powered products that transform how associates work and customers interact with the bank. You will design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, and more. The position offers the opportunity to leverage a broad stack of Open Source and SaaS AI technologies and to invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large-scale production AI systems. You will also contribute to the technical vision and long-term roadmap of foundational AI systems, set technical direction for enterprise-wide AI architecture, and own the design and integration of model routing, caching, and orchestration systems.

$245k - $279k

Datadog

Datadog is seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture team. In this role, you will act as a technical multiplier for leading AI labs and AI-native companies, bridging the gap between their infrastructure aspirations and Datadog’s technology roadmap. You will ensure our platform natively solves the unique observability challenges of training and deploying foundational models at scale. We operate as a hybrid workplace to foster collaboration and creativity while ensuring work-life harmony.

$330k - $440k

Datadog

Datadog AI Research (DAIR) is seeking a Research Scientist to partner with Research Engineers on fundamental research problems. The role involves translating research advances into products by collaborating with Datadog's product and engineering teams. The team focuses on high-risk, high-reward problems in cloud observability and security, building on existing AI-powered solutions. The research areas include developing multimodal foundation models for understanding distributed systems and training autonomous agents for observability tasks like incident response and code repair.

$320k - $400k

SecureBio is seeking a Senior Research Scientist to join their AI Biosecurity Assessments team. In this role, you will evaluate frontier AI models for dual-use biological risks before their public release. This involves running technical assessment pipelines, analyzing model behavior, and producing reports that inform relevant audiences about identified risks. Your work will contribute to setting industry safety standards and influencing policy bodies like the NIST US AI Safety Consortium and the European AI Office. You will collaborate with AI firms, internal research teams, and policy makers to ensure the safe development and deployment of advanced AI technologies.

$235k - $300k

Datadog

The Behavior AI team is responsible for developing the AI-based anomaly detection systems that power Datadog's security products. These models are designed to learn normal behavior patterns from vast amounts of data and flag deviations in real-time, with a focus on efficiency and cost-effectiveness at scale. The work involves creating small, custom models optimized for high-throughput stream processing, rather than relying on large, general-purpose models. This role offers the opportunity to contribute to the entire model lifecycle, from architectural design and large-scale training to optimization for production environments, addressing complex challenges in model efficiency, accuracy trade-offs, and interpretability.

Salary not listed

Mastercard is seeking a Senior Software/AI Engineer to join their AI & Decision Product Enablement team in Vancouver. This role is crucial for advancing Mastercard's Sanctions Screening solutions by building scalable, high-performance services that assist financial institutions in managing sanctions risk, ensuring regulatory compliance, and facilitating secure payment processing. The position offers a chance to work on a highly visible platform and influence the adoption of AI-enabled engineering practices across the organization. The engineer will design, develop, and support business-critical software systems at a global scale, collaborating with various teams to deliver reliable, secure, and innovative solutions.

CA$111k - CA$160k

NVIDIA is seeking a Senior System Software Architect specializing in AI and GPU Networking to join their AI Networking Research team. This role involves exploring technological challenges in accelerated networking and building AI data centers, researching new transport functions and semantics for optimizing AI workloads and systems, and leading architectural and development efforts across various fields including distributed AI, deep learning, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, and storage. The architect will enhance NVIDIA's GPU Networking offerings, co-design hardware features to accelerate data movement for inference and model serving, identify and evaluate new technologies, and lead the architecture and design of new innovations like runtime systems and communication libraries.

Salary not listed

Datadog

Datadog's AI Platform is seeking a Senior Applied Scientist to join the Generative Simulations (GenSim) team. This role is crucial for developing the environments in which Datadog's AI agents learn and are evaluated. Unlike traditional methods that replay sampled telemetry, GenSim builds and operates real, instrumented applications, injects controlled failures, and records outcomes to establish ground truth. This provides a rich source of post-training data for AI models, enabling agents to be trained and evaluated against realistic scenarios. The team is looking for an individual to lead the applied science direction, defining methodologies and making key technical decisions for creating simulated environments and post-training data. This position offers a unique opportunity to tackle complex challenges in AI agent evaluation and data quality, contributing to Datadog's leadership in the field.

Salary not listed