Driver Operations Lead in San Francisco

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate t

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. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days remote OR one of our Hub locations, Boston, MA or Raleigh, NC, which means you may be expected to work from a designated co-working space from time to time, and will otherwise work remotely from home, until such time as a dedicated office is established. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role: As the Head of Product Marketing (Director Level), you will be a strategic leader responsible for defining and executing the comprehensive product vision for Sauce Labs. You will own the overall product marketing strategy, guiding a high-performing team to drive leadership, accelerate product adoption, and significantly impact revenue growth. This role requires a blend of strategic thinking, hands-on leadership, and a deep understanding of the continuous testing and software development lifecycle market. You will serve as a key bridge between product development, sales, and broader marketing functions, ensuring our market narrative is compelling, differentiated, and aligned with business objectives. Responsibilities: Strategic Leadership & Vision: Define and articulate the overarching product marketing strategy that aligns with company goals and market opportunities. Drive the narrative, positioning, and messagi

About the Team The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Distributed Caching team owns every caching offering at DoorDash end to end, including ElastiCache (Redis/Valkey), Boulder (our KVRocks-based key-value store for high-QPS feature serving), Entity Cache (read Bill Shen’s engineering blog post, “ High-Performance Proxy Cache for DoorDash Services ”), and the Distributed Lock Service, plus the smart clients (asgard-redis, valkey-go) that sit in front of them. These systems back critical product surfaces across DoorDash, Wolt, and Deliveroo: the team runs roughly 400 ElastiCache clusters serving hundreds of millions of GET requests per second in aggregate, and Boulder, our offline-to-online feature store, serves billions of feature lookups per second at peak. About the Role The team owns provisioning of clusters and the smart clients that sit in front of them, baking in sensible defaults so that other engineering teams get a turnkey caching solution instead of having to run their own. You'll help drive Boulder's evolution to scale further, improve cost efficiency, enhance performance, and support real-time updates; re-platform the Distributed Lock Service onto a strongly consistent backend; and build the self-serve tooling and recommendation engine that let customers describe a workload (QPS, TTL, payload size, latency profile) and get the right backend without talking to a human. You'll go deep on cache invalidation, replication, sharding, compaction, and failover, while shipping the guardrails, automation, and observability that keep this scale operable by a small team. You must be located in San Francisco, Seattle, or the New York Metro Area for this hybrid position. You will report to the Engineering Manager on the Distributed Caching team within the Storage organization. You’re excited about this opportunity b

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Designer at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. About the Role At DoorDash, we’re redefining what it means to be a designer. We’re building a team of makers, builders, and doers. Over the past decade, “web designer” evolved into “product designer” as the scope expanded. Now, that shift is happening again — LLMs are broadening the role further, pushing design toward both strategic thinking and direct execution. As a Staff Product Designer, you’ll help lead this evolution: not only practicing build-first design, but scaling it across people, processes, and systems. In this role, you’ll join the Ads & Promos Design team — one of DoorDash’s fastest-growing businesses — owning end-to-end campaign experience design and shaping the strategic vision for our marketing tooling system. This platform powers both SMB and enterprise restaurants across DoorDash’s global markets and connects local businesses with over 40 million consumers globally. Your impact will span both team effectiveness and business growth. You’ll increase team velocity and autonomy by building reusable workflows, shared tools, and decision frameworks that enable designers to operate at a higher level with less coordination overhead. In parallel, you’ll drive measurable business outcomes by unlocking faster experimentation, shorter iteration cycles, and higher-quality execution across your team and adjacent teams. This role can be based in New York City, San Francisco, or Seattle and reports to the Design Manager for Ads & Promotions (Restaurant Experie

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying autonomous technologies in a service used by millions of people, then we want to talk to you! About the Role As an Industrial Designer on our team, you will own the design of physical products and help elevate our brand’s experience through form, function and manufacturability. You’ll be responsible for leading concept ideation, CAD modelling and prototyping, working across mechanical, electronics and user-experience domains. You’ll collaborate closely with engineering, manufacturing, sourcing, user-research and marketing, and participate in decision-making around product direction. This role offers ownership across the design lifecycle — from early sketches through production launch. You're excited about this opportunity because... Lead end-to-end design projects: develop concept sketches, CAD/3D models, renderings and physical prototypes. Conduct research into user needs, market trends, materials, manufacturing processes (injection moulding, thermoforming, additive manufacturing) and competitive products. Translate design intent into detailed specifications: materials, geometry, finishes, ergonomics, manufacturing constraints. Collaborate cross-functionally with engineering, manufacturing and product to ensure feasibility, cost-effectiveness and alignment with brand and product vision. Build and iterate prototypes (3D prints, machined models, mock-ups), validate usability, aesthetics, functionality and manufacturability. Present design concepts, flows and prototypes to stakeholders, incorporate feedback and drive decisions. Contribute to design language, visual identity and brand consistency across products. Why You’ll Love This Role You’ll shape real, tangible products that users will interact with and rely on. You’ll work in a small, high-impact team where your contributions

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Designer at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. About the Role In this role, you’ll join the Core Dasher team within our Dasher organization, focused on one of DoorDash’s highest-priority challenges: growing and retaining Dasher supply. The team works across Growth and Financial Products to identify new ways to create value for Dashers, including exploring how Crimson, financial incentives, and financial wellness offerings can become meaningful growth levers. You’ll help lead 0→1 opportunities from strategy through launch, partnering across Product, Engineering, Data Science, Marketing, and Finance to build experiences that can scale across the U.S. and international markets. You will report to the Head of the Core Dasher team within our Dasher organization. We operate in a hybrid model, with 1–2 days per week in one of our Design Hubs in San Francisco or New York City. You’re excited about this opportunity because you will… Define projects with a clear point of view on what to build, writing briefs that synthesize business and customer inputs into roadmap milestones; balance customer needs, business goals, and feasibility to shape what your team builds and why Bring clarity to ambiguous, cross-team problems and turn them into actionable work that ships; drive prioritization across your team and adjacent teams, making tradeoffs between design quality, speed, and impact so the highest-leverage work moves first Shape key projects from concept through execution — staying close enough to resolve issues during iteration, gu

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Firmware Validation & Integration Engineer for our autonomy software team. This is a critical role to build robust and scalable validation for our firmware and systems to ensure reliability at every level. In this role, you will work with our electrical, firmware, and autonomy engineers to build the infrastructure and test suites required to validate the system. This includes designing and implementing our Hardware-in-the-Loop (HIL) simulation environments and automation frameworks from the ground up. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Design and build Hardware-in-the-Loop (HIL) systems to simulate vehicle dynamics and sensor data for comprehensive firmware and system-level validation. Develop automated test infrastructure and software tools to exercise multiple embedded platforms throughout our robot system. Interface many layers of our control system including vehicle controls, power management, and motion control to ensure seamless system integration. Implement low-level test sequences and validation algorithms to safely stress-test vehicle components such as batteries, drive-train, and thermal management devices. Collaborate with cross-functional teams to identify edge cases and hardware-software corner cases that impact vehicle safety and performance. We’re excited about you because… BS/MS degree in Computer Science, Robotics, Electrical Engineering, or related technical field. 5+ years of experience in validati

About the Team At DoorDash, design shapes how millions of people connect with their local economy and we put our customers at the center of our product strategy. Our design team crafts thoughtful experiences across the ecosystem, from consumers ordering their favorite meals to merchants growing their businesses and Dashers delivering with care. About the Role Design is changing faster than at any point in the last decade, and we’re building the team that defines what comes next. As a Product Design Intern, you’ll get to work on real projects that impact our customers, merchants, and Dashers. You’ll collaborate with product, research, data, and engineering to prototype your concepts, test with real users, and ship improvements to millions of users. You will have the opportunity to join one of our core teams: Consumer, Merchant, Dasher, Ads & Promos, or Customer Experience & Integrity. Based on your skills, interests, and business priorities you’ll be paired with a dedicated manager and supported by a community of designers passionate about learning and helping each other grow. This will be a 12-week summer internship program hosted onsite at our San Francisco or New York City offices. There will be relocation support as needed. You're excited about this opportunity because you will… Drive a real project from early explorations to polished, shipped work that reaches millions of users. Use AI throughout your process — exploring divergent directions, building high-fidelity prototypes, and pressure-testing ideas — while helping shape how our product becomes smarter, more intuitive, and more human. Collaborate closely with designers, engineers, PMs, and researchers to identify opportunities and ensure high-quality implementation. Learn from a dedicated manager and a community of peers in a fast-paced, mission-driven environment that values curiosity, craft, and collaboration. We're excited about you because… You’re currently pursuing a degree in de

About the Team The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash . You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You're excited about this opportunity because you will… Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world-class talent Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce We're excited about you because you have… B.S. or M.S. in Computer Science or equivalent. 10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code) in th

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Design Manager at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. You'll work shoulder-to-shoulder with Engineering and Product Management, dig into the data, and use LLM-powered tools alongside traditional design tools. If the LLM powered tools don’t exist yet, you build them. About the Role Trust is the foundation of every interaction on DoorDash. We're looking for a design leader who can define and drive a vision for designing for integrity at scale. In this role, you will join the Integrity organization. You’ll lead a team of designers working across fraud prevention, trust, safety, and compliance — protecting millions of consumers, Dashers, and merchants while keeping the platform seamless and trustworthy. You will report into the Head of Design for our Customer Experience & Integrity organization. This role is hybrid- 1–2 days per week in one of our Design Hubs. You’re excited about this opportunity because you will… Set the technical direction for Design across your product area — decide what gets built, in what order, and why; connect multiple teams around shared platforms so the work compounds instead of duplicating Work on ambiguous problems and turn them into architecture decisions and working systems that teams actually use; earn trust with leadership not through decks, but through prototypes and shipped code that make your point for you Stay close to the code and the craft across multiple projects at once — you're not just reviewing, you're building; the work you ship will move real metrics across the product area