AI Engineering Jobs in San Francisco

The bottleneck in building reliable, useful AI is no longer writing code, but defining and measuring what good looks like. This role focuses on data and evaluation science for Glean's AI products, building evalsets, agentic LLM-judges, and benchmarks that capture quality. You will develop the platform and infrastructure to run these evaluations reliably at scale, and create enterprise simulation environments to test assistant and agent performance. Starting from real production usage, you will translate learnings into evaluations that guide improvements across the entire stack, from agent harnesses to tool use, skill iteration, model routing, and post-training of task-specific models. You will also bring new research into production and collaborate with R&D, product, and GTM teams to translate evaluation findings into better products and customer outcomes.

$200k - $280k

Scale AI

Scale is seeking a Staff Machine Learning Research Engineer to join the Applied Intelligence Systems (AIS) team, which is part of the Scale Generative AI Platform. This role focuses on advancing agentic AI applications for enterprise and government use cases. You will work across the full spectrum of technical challenges within AIS, contributing to areas such as model training and fine-tuning, designing evaluation systems, building improvement loops from production data, prototyping novel agent architectures, and developing internal tooling. This is a hands-on research and engineering position where you will write code, ship production systems, and set the AI/ML technical direction for the team, influencing methods, architectures, and standards for others.

$250k - $350k

Sierra

Sierra is a leading platform for customer-facing AI agents, transforming how businesses serve customers and grow. We are seeking a Software Engineer to join our Horizon team, focusing on building advanced AI agents capable of complex, long-horizon tasks across multiple communication channels. This role involves developing core agent capabilities, creating reusable systems and abstractions, and shaping the future of our AI product. You will tackle technically challenging problems in orchestration, integrations, data, memory, and observability, translating validated solutions into durable product features.

$230k - $390k

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms, healthcare copilots, or autonomous workflows for Fortune 100 companies. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, this role is for you.

$265k - $331k

Sierra

Sierra is a leading platform for customer-facing AI agents, transforming how businesses serve customers and grow. This role focuses on the core systems that power these AI agents across various communication channels, including phone calls, SMS, WhatsApp, email, and in-app chat. You will be instrumental in building the future of how entire industries operate with AI agents, tackling complex challenges in real-time, multi-modal conversations and ensuring seamless integration with global communication networks. The team is responsible for making AI voice feel like a real conversation, developing safe integration methods for personal AI assistants, and building the agent experience within customer applications.

$230k - $390k

Scale AI

Scale is seeking a New Grad Software Engineer for its Public Sector team. This role involves building core product systems to ingest and process federal datasets, supporting real-time decision-making in critical environments. You will own mission-facing work from day one, shipping features, interacting directly with government stakeholders, and iterating rapidly. The position offers the opportunity to work on impactful projects, from developing AI agent guardrails and RAG pipelines to creating data visualization tools and deploying applications in secure government environments.

$124k - $162k

Sierra

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do - Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. - Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over conversational data. - Monitoring: Build systems for proactively monitoring agents for defects or new patterns. What you'll bring - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. Even better... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. Our values - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

$230k - $390k

Scale AI

Scale is seeking New Grad Software Engineers to join their mission of developing reliable AI systems. In this role, you will own meaningful, customer-facing work from day one, shipping products, interacting directly with customers, and iterating quickly. You will contribute to building and deploying AI applications that deliver real impact for enterprises and governments.

$124k - $162k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to revolutionize customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading technology companies like Salesforce, Facebook, and Google, with Bret currently serving as Board Chair of OpenAI.

$230k - $390k

Scale AI

Scale's internship program offers a unique opportunity for students to contribute to real, impactful projects alongside full-time engineers. Interns will work on the same roadmaps as experienced professionals, receiving mentorship from world-class talent in a culture that emphasizes ownership, speed, and truth-seeking. Many interns find this experience so valuable that they return as full-time employees.

Salary not listed

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to revolutionize customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI.

$230k - $390k

Scale AI

Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.

$180k - $225k

Scale AI

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.

$290k - $363k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms and healthcare copilots. If you enjoy experimenting with the latest models and shipping production systems that create measurable business impact, this role is for you.

$216k - $270k

Scale AI

Scale works with leading AI labs to accelerate progress in GenAI research, focusing on LLM post-training and evaluation. This role is on the evaluation pod, building benchmarks and diagnosing model failure modes in text and multimodal modalities. You will develop rigorous evaluations to reveal where and why frontier models fail, collaborating with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with foundation model labs to translate failure analysis into technical and strategic input for next-generation generative AI models.

$166k - $207k

Scale AI

Scale AI is seeking a Frontier Agents Engineer (Applied AI) to bridge the gap between cutting-edge AI research and production deployment. In this role, you will partner directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will work across a diverse portfolio of AI challenges spanning multiple industries and use cases, building systems that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in.

$180k - $225k

Scale AI

Scale is seeking an Engineering Manager for its Customer Platform team, focusing on GenAI. This role is pivotal in integrating our platform with external systems, ensuring seamless and reliable connectivity for both internal users and customers. You will drive the strategy, architecture, and development of our connectivity solutions, with a focus on API integration, distributed systems, and a robust data platform. Your leadership will be crucial in maintaining and enhancing our platform's ability to meet the diverse needs of our stakeholders.

$216k - $270k

Scale AI

Scale's LLM post-training platform team builds an internal distributed framework for large language model training, powering MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. This platform also serves as the underlying training framework for the data quality evaluation pipeline. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works, enabling next generation LLM training, inference, and data curation.

$290k - $363k

Scale AI

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities, mentoring other engineers on defining requirements with stakeholders and communicating tradeoffs of technical implementations. You will define the technical strategy for agentic guardrails, explainability, and fleet orchestration, ensuring system reliability and performance across multiple security classifications and network types. You will also influence the long-term product strategy and technical roadmap for the Federal business unit and consult on the architecture of AI-powered solutions for large-scale federal contracts.

$189k - $362k

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

$252k - $315k

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape best practices for enterprise AI. This role is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping AI capabilities, and bringing frontier AI into production.

$252k - $315k

Scale AI

As a Senior Staff Frontier Agents Engineer, you will be the technical bridge between Scale AI's advanced AI capabilities and our most strategic enterprise customers. This role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment and adoption of AI systems in production. You will work hands-on with customer engineering teams to integrate AI into their critical workflows, combining deep engineering expertise with customer-facing problem-solving.

$288k - $360k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape engineering best practices for enterprise AI. This position is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production.

$216k - $270k

Scale AI

Scale Generative AI Platform (SGP) is seeking a skilled engineer to join its team and contribute to building and scaling its core infrastructure. This role involves implementing solutions across multiple cloud providers (GCP, Azure, AWS) for clients in regulated industries such as healthcare, telecom, finance, and retail. The ideal candidate will possess a strong foundation in software engineering principles and experience with large-scale distributed systems.

$179k - $224k