AI Engineering Jobs in San Francisco

Glean is seeking a Tech Lead Manager of AI Evaluations to lead a team of applied AI scientists and engineers. This role is crucial for developing the evaluation strategy and platform that ensures Glean ships reliable and delightful AI experiences. You will integrate evaluation into the development and operation of models, harnesses, assistants, and agents. The position involves translating AI/ML research into robust evaluation systems, building scalable infrastructure for evaluations, and collaborating with R&D, product, and marketing teams to improve products based on evaluation outcomes.

$250k - $350k

OpenAI

OpenAI's Safety Research organization is seeking a senior researcher to lead technical work on misalignment monitoring for frontier AI systems. This role involves developing methods to evaluate AI monitors, understanding their limitations, and improving our ability to reliably detect and stop concerning model behavior. You will set research priorities, design rigorous evaluations, investigate monitoring failures, and develop approaches for stress-testing and improving monitoring systems, with a key focus on understanding monitor limitations as models evolve. The position combines research leadership with hands-on technical execution, translating research findings into practical improvements for OpenAI's safety systems.

$380k - $500k

As an Executive Director Machine Learning Engineer on the Recommendation Engine team, you will implement fine-tuning and reinforcement learning algorithms on large compute clusters. You will build and run real-time and batch model serving systems, manage hyper-parameter tuning at scale, and oversee model monitoring and production validation. This role is vital for model development, testing, and deployment in a well-managed, controlled environment, supporting high throughput, low latency applications that leverage state-of-the-art machine learning architectures deployed in AWS. These applications power personalized experiences across Chase Consumer & Community Banking channels.

Salary not listed

Baseten

Baseten is seeking a Backend/Distributed Systems Engineer to join their Product Platform team. This role is central to Baseten's mission of powering mission-critical AI inference for leading AI companies. You will work on key areas such as commercialization, billing, partnerships, developer productivity, agentic development, and the observability platform. The position offers the opportunity to design and build scalable systems, own core platforms, and contribute to the company's growth at the forefront of AI development.

$165k - $330k

Scale AI

Scale is at the forefront of the AI revolution, building the Generative AI Data Engine and other products that power the world's most advanced LLMs. The Platform Engineering team is foundational to these efforts, responsible for designing and developing shared platforms, architecting core cloud infrastructure, and redefining software development processes. This role offers exposure to the cutting edge of AI development across various sectors, from startups to governments. You will drive the design and implementation of critical platforms, collaborate with cross-functional teams, and proactively improve engineering practices. This is an opportunity to shape the future of AI infrastructure and contribute to some of the most important work in how humanity interacts with AI.

$180k - $225k

Outset is building AI systems, referred to as digital twins, that represent specific real people and can respond to research questions as those individuals would. These systems are used by global brands to gain deeper qualitative insights about their users at unprecedented speed and scale. The Digital Twins Team focuses on measuring and improving the faithfulness of these AI systems in reproducing human responses and behavior. The Research Scientist will work closely with the Head Scientist to define research questions, design studies, establish measurement criteria, interpret findings, and contribute to internal decision-making and potential academic publications. This role requires a strong background in computational social science, data science, survey methodology, human-computation interaction, and experiment design.

$200k - $240k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone. We build open models that empower individuals to control their intelligence and shape the future of AI. This role focuses on the foundational aspects of AI development, specifically in pre-training data, contributing to the creation of open foundational models. You will be part of a talented team, helping to define the company's future and the future of open AI.

Salary not listed

AiPrise

AiPrise is seeking an Engineering Manager to lead and grow the team responsible for building the company's AI agents. This is a player-coach role where you will manage, hire, and develop engineers, while also staying hands-on with agent architecture design, prompt reviews, tool definitions, and debugging evaluations. You will be responsible for the end-to-end process of building, measuring, and shipping AI agents, including the skills and tools they utilize, their memory capabilities, and the evaluation metrics that ensure quality and performance in a regulated domain like KYC and KYB. The role emphasizes the importance of quality and observability alongside speed, as inaccurate AI decisions can have significant financial and audit implications for customers.

$185k - $230k

Cerebras

Cerebras Systems is seeking a Senior Fullstack Engineer to take ownership of and scale critical components of the Cerebras Developer Console. This role involves building high-quality frontend systems using Next.js and TypeScript, and designing backend services with GraphQL, Postgres, and Redis to manage usage tracking, billing, quotas, and observability. The systems will operate at high scale, requiring careful data modeling and balancing real-time and batch processing. The ideal candidate will make strong architectural decisions, drive projects from conception to production, and take end-to-end responsibility for major platform areas like billing and request logs. This is a deeply technical, end-to-end role focused on impacting customer experience and revenue.

Salary not listed

Databricks

Databricks is seeking a Senior Staff Software Engineer to work on the AI Runtime system, which powers the world's largest AI platform. This serverless product enables companies to train their own models using enterprise data, similar to how frontier labs operate. The role involves tackling complex technical challenges to advance AI Runtime's architecture, reliability, and developer experience for both humans and AI agents. You will contribute to shaping the long-term technical direction of AI training infrastructure, anticipating industry trends, and optimizing training efficiency and cost across various model architectures and GPU accelerators.

$229k - $343k

Veeam is seeking motivated students for their Summer Internship Program, designed for individuals entering their final year of university who are eager to gain real-world experience in a fast-paced, collaborative environment. The program runs from June to August 2027 and includes comprehensive onboarding, weekly professional development sessions, networking events, and social activities to foster personal and professional growth. Interns will have the opportunity to work on impactful projects, contributing to Veeam's mission as the Data and AI Trust Company.

$40k - $50k

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 sits at the center of our datasets team, which owns the driving data our AI Driver learns from, covering ingestion, annotation, retrieval, and data quality. As our data grows towards exabyte scale, deciding what data to keep and where is a major lever on both model quality and cost. You will shape the data that model engineers train on across the company, defining our dataset content strategy and steering data selection based on current model engineering needs.

$390k - $460k

Sierra

Sierra is seeking a Software Engineer to join our full-stack data team, focused on enhancing the intelligence of AI agents. You will build real-time pipelines, analytics products, and personalization systems that leverage millions of conversations to drive business outcomes. This role involves architecting and developing our core data platform for low-latency, large-scale data processing, including real-time eventing, ETL pipelines, and a data lakehouse. You will also develop systems for long-term agent memory, customer data platforms, and optimization loops to personalize agent interactions and improve business results. The ideal candidate is passionate about AI products and thrives in a high-autonomy environment.

$230k - $390k

Abundant

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. Our founding team brings deep expertise from leading AI organizations, with a proven track record in deploying large-scale deep learning models, training state-of-the-art self-driving models, and managing massive data pipelines. We are at the forefront of innovation, addressing the scarcity of training data by advancing simulation, synthetic data generation, and learning from experience, which are essential for achieving AGI, ASI, and physical intelligence. We partner with top AI labs and enterprises to provide the data necessary for models to move from general knowledge to domain expertise and from chatbots to agents.

$168k - $168k

Salesforce is seeking a Senior/Lead Performance Engineer to join the SalesforceDB team, which manages the transactional database powering the Salesforce Platform. This role involves driving the design, scalability, and performance of our distributed database technology. You will identify and resolve performance bottlenecks, lead benchmarking efforts, and build telemetry to monitor production fleet performance. This is a fast-paced, collaborative environment where your work directly impacts the performance and scalability of a system handling trillions of transactions monthly.

$149k - $260k

As an Applied ML/AI Manager - Behavior Validation, you will lead a team focused on building and operating behavior critics and human benchmarking capabilities for ML-driven autonomy systems. Your team will translate subjective human expectations about safe, comfortable, and intuitive driving into rigorous, scalable evaluation frameworks that directly inform model development and release decisions. You will partner closely with autonomy, simulation, safety, and product teams to define how behavior is judged against human drivers and integrate behavior critic signals into validation pipelines, continuous release, and long-term performance monitoring.

$219k - $335k

Move the needle in testing NVIDIA's embedded software! As a highly skilled and motivated senior software developer, you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system, directly impacting the quality and performance of Nvidia's embedded software systems.

$140k - $270k

Glean is seeking an AI Engineer focused on Quality and Post-Training to enhance their Work AI platform. This role is crucial for improving the reliability and usefulness of AI agents by focusing on measurement and quality improvements. You will work at the intersection of applied research, quality assurance, and product engineering to refine Glean's AI assistants and autonomous agents, ensuring they can reason, plan, and act effectively across complex workflows. The position involves optimizing the entire AI stack, including agent harnesses, model routing, prompts, and retrieval, while balancing quality with performance and cost.

$200k - $280k

Athelas

Commure is building the AI Operating System for healthcare, transforming administrative burdens in care delivery, documentation, and financing. Our platform features Ambient AI for documentation, intelligent Agents for workflows, and autonomous RCM processing claims, all integrated with numerous EHRs. We are at the forefront of revolutionizing healthcare's $1 trillion administrative burden, with a recent $70M raise at a $7B valuation and recognition from Fortune and AI Breakthrough Awards. Our team works directly with clinicians, offering immediate impact and a fast-paced, ownership-driven environment for those tackling complex, high-stakes problems.

$180k - $230k

Outset is building AI-powered user interviews, creating digital twins that represent specific real people and respond to research questions as those individuals would. The Digital Twins Team focuses on measuring and improving how faithfully these AI systems reproduce human responses and behavior. As a Research Engineer, you will report to the Head Scientist and be responsible for building and maintaining the systems that enable the team's scientists to conduct their studies correctly, reproducibly, and at scale. Your role involves ensuring experiments execute as designed, results are reproducible, and research code stays aligned with the shipped product, supporting scientists in a computational research setting with hands-on experience in LLM-based systems.

$200k - $240k

Scale AI

Scale AI is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering Reinforcement Learning (RL) environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and verifier frameworks, while also diving deep into instrumenting real applications, designing task suites, and building robust graders. This is a hands-on engineering position requiring technical leadership across multiple teams and the ability to write complex code.

$252k - $315k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with expanding offices globally. Our culture is built on values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. The company was co-founded by Bret Taylor, former co-CEO of Salesforce and CTO of Facebook, and Clay Bavor, who spent 18 years at Google leading initiatives like Google Labs, AR/VR, and Google Lens.

$230k - $390k

OpenAI

OpenAI is seeking a senior Machine Learning Data Scientist to lead its forecasting initiatives within the Strategic Finance team. This is a founding role for the Forecasting pillar, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. The models developed will be crucial for predicting key business metrics like daily/weekly active users, revenue, lifetime value, compute consumption, and profitability, directly influencing critical business decisions and company strategy. This role requires a blend of technical expertise, product intuition, and business acumen, involving close collaboration with product managers, researchers, engineers, and finance leaders to operationalize insights and build foundational forecasting capabilities.

$347k - $445k

GM’s Vehicle AI Experiences team is building the next generation of intelligent experiences for GM vehicles, focusing on defining and owning what the driver can do and how it feels. We are seeking hands-on Staff and Principal Software Engineers to transform ambiguous customer problems into high-quality, production-ready experiences. This role primarily involves working with Kotlin and Android Automotive, owning features across the in-vehicle assistant stack, including conversation design, natural language understanding, LLM behavior, vehicle integration, connected services, and UI. The focus is on product engineering, emphasizing broad engineering judgment, rapid learning, and a track record of shipping complete products. This is a small, fast-moving team where you will have substantial autonomy, stay close to the code, help shape product direction, and improve organizational software delivery processes.

$189k - $290k