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Senior AI Engineering Jobs

Senior AI Engineering Jobs, page 22

Machine Learning Engineer 5

12d ago
C

Capital One

Capital One is seeking passionate Machine Learning Engineers to join a team focused on decisioning technology that guides customers through their credit journey. This role involves standardizing and streamlining the building, deployment, and monitoring of complex machine learning models at scale, reducing friction for data science partners. You will leverage a modern technology stack, primarily Python and Kubernetes, to create high-impact infrastructure supporting millions of customers in real time throughout their lifecycle. You'll have the opportunity to drive major AI transformations and scale production models.

$230k - $262k

McLean, VA onsite Full-time
PythonGoJava +5 more

AI Engineer 4

12d ago
C

Capital One

Capital One is seeking an 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. You will build and deploy proprietary solutions that are critical to the business and impact millions of customers. The team's AI models and platforms empower other departments to enhance their products with AI responsibly and at scale. You will help reimagine how Capital One serves its customers and businesses by leveraging emerging AI capabilities.

$197k - $225k

San Francisco, CA +2 locations onsite Full-time
AWSPythonGo +5 more

Research, Tinker, RL Systems

11d ago
Thinking Machines Lab

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment. We are developing Tinker, a fine-tuning API that empowers researchers and developers to customize frontier AI models. This role focuses on building and enhancing our training systems for Tinker, specifically involving RL systems, numerics, and kernels, to enable users to train models with their own data and algorithms.

$350k - $475k

San Francisco onsite Full-time
PythonLLMFine-Tuning +7 more

Product Engineer - Passport

11d ago
W

WorkOS

WorkOS is seeking a frontend-leaning Product Engineer to help shape and build Passport, a product that simplifies accessing work applications. You will be responsible for building seamless user experiences for both employees and administrators, managing access control and identity workflows. This role involves hands-on engineering across the stack, working directly with customers to understand their needs and translate complex requirements into intuitive interfaces. You will also contribute to defining product strategy and carrying features through to production, operating in an AI-native engineering environment and leveraging AI tools for development.

$175k - $275k

United States & Canada remote Full-time
OpenAIAI Agents

Architect, Snowflake Cortex

11d ago
N

Nimble Gravity

We are seeking an AI and data architect to design and deliver AI applications that run directly on client data within Snowflake, utilizing Snowflake Cortex. The ideal candidate understands that a strong data foundation and governance are crucial for effective AI models. You will be responsible for the end-to-end development of Cortex-powered applications, from initial architectural design to production deployment, collaborating with clients and engineers to translate abstract concepts into usable systems.

US (Remote) hybrid
AnthropicAWSAzure +10 more

Senior AI Platform Governance Engineer

11d ago
N

NBCUniversal

NBCUniversal is building the foundation for responsible, scalable AI across one of the world's most recognized media and entertainment portfolios. As a Senior AI Governance Engineer, you'll help define how AI products are governed, secured, monitored, and operationalized across sports, news, entertainment, film, and digital businesses. You will design and maintain semantic models, partner with data owners to define metrics and lineage, and build CI/CD pipelines and Infrastructure-as-Code solutions supporting AI applications and ML workloads. You will also create monitoring frameworks for various aspects of AI operational health and define standards for auditability, compliance, and responsible AI adoption.

$115k - $145k

New York, NEW YORK, United States; Remote remote Full-time
LangGraphAWSAzure +5 more

Java AI AWS Lead Software Engineer

11d ago
J

JPMorganChase

As a Lead Software Engineer at JPMorgan Chase, you will be an integral part of an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and scalably. You will act as a core technical contributor, responsible for critical technology solutions across various business functions to support firm objectives. This role involves executing creative software solutions, design, development, and technical troubleshooting, with a focus on thinking beyond conventional approaches. You will also drive the team's adoption of AI-assisted engineering practices to improve code quality and delivery speed, while establishing validation standards and promoting the reuse of effective patterns.

Westerville, OH, United States onsite Full-time
AWSTypeScriptJava +5 more

Manager, Software Engineering - AI Infrastructure

11d ago
F

Figma

Figma is seeking a hands-on engineering leader to manage and grow its AI Infrastructure team. This team builds the foundational inference systems that power Figma's AI products, ensuring reliability, observability, and seamless integration of cutting-edge models. The role involves defining and executing technical strategy, collaborating across engineering, and directly contributing to the core AI platform. This is an opportunity to join a rapidly growing team at the ground floor and shape the future of AI at Figma.

$258k - $376k

San Francisco, CA • New York, NY • United States onsite Full-time
PythonLLMAI Agents +2 more

Software Engineer, Developer Platform

12d ago
N

Notion

As a Developer Platform engineer at Notion, you will contribute to the foundational elements that make Notion extensible and connected. You will build tools, APIs, and platform experiences enabling customers to integrate Notion with their external applications, data, and workflows. Your work will empower developers, admins, and builders to create reliable integrations and automations, making it easier to bring their apps and data into the Notion workspace. You will be a key player in establishing the robust technical foundation for Notion's connected workspace vision, contributing to both internal platform improvements and end-user-facing functionality. This role involves tackling complex technical challenges to ensure the long-term quality, reliability, and performance of Notion's platform as it scales.

$179k - $200k

San Francisco, California hybrid Full-time
TypeScriptLLMMCP +3 more

Research Scientist (post-training)

12d ago
G

Genmo

Genmo is a research lab developing sophisticated video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to focus on alignment and post-training techniques for large-scale video generation models. This role is at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate, and safe outputs that align with human preferences and values.

San Francisco HQ onsite Full-time
LLMFine-TuningPyTorch +5 more

Staff Software Engineer (Query Infrastructure)

12d ago
Amplitude

Amplitude

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

San Francisco +1 location onsite Full-time
AWSKubernetesPython +6 more

Senior Software Engineer, AI Evaluation Infrastructure

12d ago
Turing

Turing

Turing is seeking a Senior Software Engineer to join their AI Evaluation Infrastructure team. This role focuses on building the core infrastructure that frontier AI labs use to evaluate coding agents and language models. You will be responsible for designing and implementing features across the entire stack, from data models and background jobs to user-facing interfaces. The ideal candidate is an experienced, independent engineer who can translate loosely defined requests into robust, tested, and reliable solutions. This position offers the opportunity to work on cutting-edge AI evaluation tools and contribute to the advancement of AI capabilities.

$170k - $200k

United States onsite
AnthropicDockerKubernetes +7 more

Technical Lead Manager, AI Platform

12d ago
I

Ironclad

Ironclad is seeking a Technical Lead Manager to lead a team of engineers focused on building production generative AI systems. This role combines hands-on technical leadership with people management, involving setting the technical direction for the team and fostering engineer growth. The team will own the technical roadmap and quality bar for their systems, partnering with product management to translate business needs into technical deliverables. The Tech Lead Manager will also contribute directly through design documents, architectural decisions, and writing production code for critical problems. A key aspect of the role is staying deeply involved in the team's architecture and technical details to effectively review designs, unblock engineers, and make prioritization calls, while also setting and upholding high engineering standards for code quality, testing, and production monitoring.

$188k - $235k

San Francisco hybrid Full-time
PythonLLMAI Agents +3 more

Applied Researcher - Forward-Deployed RL

12d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, and agent workflows. They are focused on open-source models trained for long-horizon tasks and the platform used to build them. The company has raised significant funding from prominent investors and is seeking individuals to work at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

San Francisco remote Full-time
OpenAILangChainPython +5 more

Senior Infrastructure Engineer/SRE

12d ago
Cresta

Cresta

As a member of the infrastructure team, you will be responsible for designing, building, and advancing our core infrastructure. This role supports the engineering team in executing quickly, productively, and securely within a collaborative yet highly autonomous working environment. Each team member has a defined role with clear expectations and the freedom to pursue interesting projects.

$205k - $270k

United States (Remote) remote
AWSAzureGoogle Cloud +6 more

Research Staff, Applied Voice AI

12d ago
Deepgram

Deepgram

Deepgram is a leading platform for the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents at scale. We empower over 1,300 organizations and 200,000 developers to create voice offerings powered by our advanced foundation models, accessible via cloud APIs or self-hosted solutions. Our AI-first approach means every team member is expected to actively use, experiment with, and build AI tools into their daily work, driving innovation and performance. We operate at the rapid pace of AI, requiring adaptability, continuous learning, and a proactive mindset to solve customer challenges and push technological boundaries.

$216k - $338k

USA - Remote remote Full-time
PythonLLMFine-Tuning +5 more

Staff Infrastructure Engineer

12d ago
Typeface

Typeface

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. We're looking for a Staff Infrastructure Engineer to help lead core parts of our platform. You'll design, build, and scale the cloud infrastructure that powers our AI and GenAI workloads — ensuring reliability, security, and performance as we grow. This is your chance to shape the backbone of a platform trusted by Fortune 100 companies — building systems that are resilient, observable, and ready to scale with the next wave of AI.

$210k - $240k

Palo Alto, CA hybrid
AWSAzureGoogle Cloud +4 more

Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency)

12d ago
Perplexity AI

Perplexity AI

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

San Francisco onsite Full-time
PythonGoRust +3 more

Senior Software Development Engineer - ML Platform

12d ago
E

Expedia Group

Expedia Group is seeking a Senior Software Development Engineer to join the ML Platform team. This role is instrumental in building and evolving Expedia Group's Machine Learning Platform, which supports the entire ML lifecycle from feature engineering and training to real-time inference, monitoring, and cost transparency. The platform aims to reduce the barrier to entry for teams to safely and efficiently ship models at scale. You will contribute to designing, building, and improving scalable ML platform capabilities, ensuring high-quality software delivery, and enhancing platform reliability and performance. This position involves partnering with engineers and stakeholders to define technical strategies and influence the platform's direction, while applying strong technical judgment to balance immediate needs with long-term scalability and developer experience. The role also includes safely integrating and operating AI/ML-enabled solutions.

$185k - $258k

Washington - Seattle Campus onsite Full-time

Full Stack Engineer 5 - Global Workforce Services - AI Automation

12d ago
C

Capital One

Capital One is seeking passionate Full-stack Software Engineers to join the Global Workforce Services team, driving a major transformation by leveraging cutting-edge open-source frameworks and emerging technologies. This role focuses on powering enterprise facilities and physical security through a hybrid landscape of applications, managing a large IoT footprint, and transforming operations using state-of-the-art AI, autonomous agents, and RAG pipelines. You will be at the forefront of innovation, solving complex business problems in a fast-paced, collaborative environment.

$230k - $262k

Richmond, VA onsite Full-time
OpenAIAnthropicLangGraph +5 more

Staff Software Engineer - Machine Learning

12d ago
G

General Motors

The Smart Agents group is responsible for building ML models and systems to simulate road users in various situations, generating scenarios for testing and training AV driving policies. This involves developing ML/AI models that control other characters in a simulation environment to interact realistically with autonomous vehicles. The technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The team collaborates closely with Simulation, Behaviors, Perception, and Safety Engineers. Specific duties include ML/RL model development, training loop development, optimization, integration, creating ML infrastructure, metrics, and data pipelines for production deployment and rapid experimentation.

$145k - $284k

Remote - United States hybrid Full-time
PythonPyTorchTensorFlow +2 more

Research Scientist (diffusion)

12d ago
G

Genmo

Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to pioneer cutting-edge diffusion models for text-to-video generation. This role involves creating novel architectures and algorithms to transform written descriptions into high-quality, coherent video content, pushing the boundaries of physical intelligence and enabling robots to learn and act in dynamic environments.

San Francisco HQ onsite Full-time
PythonPyTorchTensorFlow +3 more

Head of Platform Engineering, Enterprise AI

12d ago
Turing

Turing

Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks. Turing also partners with Fortune 500 enterprises to build and deploy end-to-end agentic AI systems within mission-critical workflows. This role involves leading the Turing Enterprise AI Platform technical team, which is being built out for a late 2025 SDK release and a Q1 2027 tenant onboarding. The goal is to grow the team to eight to ten members and collaborate with the Chief AI Architect on client-facing architecture and evaluation.

New York, New York, United States onsite
AI AgentsFine-TuningReinforcement Learning +1 more

Lead Software Engineer, AI Labs (Product and Customer Facing)

12d ago
S

Salesforce

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k

California - San Francisco onsite Full-time
AnthropicAWSGoogle Cloud +8 more