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Back to jobs Staff ML Engineer, Agent Training & Environments San Francisco Bay Area Apply Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is the RL data factory for advancing frontier agent capabilities. We build the data, environments, and evaluations that frontier labs use to train and judge their agents. This role sits where training meets infrastructure. You will run the experiments and build the systems that run them: environments agents act in, verifiers that decide whether they succeeded, and the fine-tuning pipelines that turn that signal into a better model. We're looking for someone who does both halves — the engineering throughput of a strong platform engineer, and real depth in post-training agents. The bar is high: engineers with strong judgment who set technical direction, turn prototypes into reliable systems fast, and are at the frontier of agent-first engineering practice. What you'll work on RL environments for agentic tasks: task definitions, tool surfaces, state and reset semantics, reward design — and the harness that runs thousands of them in parallel. Verifiers and graders: programmatic checks, LLM judges, rubric pipelines, pass@k scoring. Deciding what "the agent succeeded" means, and making that judgment trustworthy at scale. Fine-tuning pipelines that turn evaluation signals into measurable agent improvements — SFT and RL, from data collection through training to checkpoint evaluation. Eval systems that run millions of agent trajectories to measure model and product quality. Training and serving infrastructure that scales to the throughput frontier labs need: multi-launcher orchestration, long-running job fault tolerance, cost accounting. What we're looking for As an engineer A 3+ year track record of shipping systems that customers and other engineers still rely on. Exceptional throughput, without the quality tax. You ship a lot, you review a lot, and the v1 you ship becomes the foundation the rest of the team builds on. Strong system and API design judgment. Hard architecture calls land with you: you make them, defend them under pressure, and update fast when someone else is right. You ship production code with coding agents daily. You know where they break and what it takes to make them reliable, and you use that to move the whole team faster. You build the substrate other people's work runs on — tooling, CI, harnesses, libraries — and you treat that as the job, not a distraction from it. You move fast in ambiguous, startup-pace environments, with influence over authority. Deep proficiency in Python, and comfort across the rest of the stack. As an RL post-training practitioner You have fine-tuned models for agentic tasks and made them measurably better. SFT plus at least one RL method (GRPO, PPO, DPO, or similar) in production. You have built environments agents operate in, and you know why reward and task design is where most of the difficulty actually lives. You have designed verifiers or graders for open-ended work, and you know how they get gamed. You debug training runs forensically and methodically. You reason about compute-economics. You know what an experiment costs, when a run is not worth finishing, and how to get the same signal for a tenth of the spend. You write up what you learned so it changes what the team does next. Nice to have Experience with agent harnesses and coding agents as subjects of training and evaluation. Multi-tenancy and isolation for untrusted agent execution: sandboxing, egress control, credential handling. Background in production distributed systems, ML infrastructure, or data systems at scale. Experience working directly with frontier labs or other highly technical customers. Our Technology Stack Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency: Frontend: React.js with Redux, TypeScript Backend: Node.js, TypeScript, Python, some Java & Kotlin APIs: GraphQL Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes Databases: MySQL, Spanner, PostgreSQL Queueing / Streaming: Kafka, PubSub Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. Annual base salary range $250,000 - $280,000 USD Life at Labelbox Location: Join our dedicated tech hub in San Francisco Work Style: Hybrid model with 3 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. Apply for this job * indicates a required field First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Resume/CV* Attach Attach Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile We are currently prioritizing candidates based in one of our hubs. Please select your current location from this list.* Select... 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Listed by Labelbox for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

42 days ago

IT Manager

Pave · San Francisco, CA

Pay

$144k–180k

Setting

On-site

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Back to jobs Enterprise Security Engineer San Francisco, CA Apply Who We Are At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 80% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. The Security Team @ Pave Security at Pave protects the world's largest real-time compensation dataset and the company that runs on it. The team is small, senior, and AI pilled: everyone builds, everyone automates, and everyone flexes across domains. As Pave's Corporate Security Engineer, you'll own the corporate side of that mission: identity and access management, endpoint protection, SaaS security, and the corporate compliance operations behind our SOC 2 Type II and ISO 27001 programs, with an explicit charter to aggressively automate all the things. What You'll Do Identity & Access Management Own Okta and Pave's access-management model: role/group architecture, lifecycle automation, SSO/SCIM, and the exception process Keep the RBAC model current and consistently enforced, with automation that prevents drift Compliance Operations Own the SOC 2 Type II and ISO 27001 controls that touch corporate IT, end to end Automate evidence collection and user access reviews Endpoint & SaaS Security Own endpoint protection (MDM/EDR) across a five-location, ~175-person company Run SaaS vendor security reviews and build shadow-IT visibility; feed IT-controlled data sources into our SIEM Automation & AI Engineer away manual IT toil — laptop setup, onboarding/offboarding provisioning, access requests — using APIs, workflow tooling, and AI agents Build governance for employee-built internal apps: publish detection, automated review checks, sane sharing models Partnership Design the systems that Pave's helpdesk (in G&A) operates day to day; be the design counterpart that makes that team stronger and more self-sufficient What You'll Bring 5+ years of hands-on corporate/enterprise security or IT security engineering experience at a multi-office company Okta (or equivalent IdP) administration at the design level — you've built an access model, not just operated one Experience operating within SOC 2 and/or ISO 27001: controls you owned passed audits Hands-on MDM/EDR and Google Workspace–class SaaS estate administration as a primary owner A track record of shipped automations with concrete before/after impact Demonstrated, specific use of AI tooling in your own workflows Previous management experience (nice to have) Came up through IT/helpdesk into security (or similar path), so you have empathy for the people you’re supporting and first hand experience with the toil you’re here to automate away Experience with Okta, GCP, Iru, Sentinel one, Claude code, and or similar tools Vendor security review / third-party risk experience (nice to have) Background at a 150–500 person B2B SaaS company handling sensitive data (nice to have) Networking fundamentals Compensation, It's What We Do. At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask. The targeted cash compensation for this position is (level depends on experience): $220,000+(base) and equity included Benefits @ Pave At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making. What we offer Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are. Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you. Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it. Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you. Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count. Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen. Life @ Pave Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave. We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together. Our culture is shaped by five values we live every day: Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard. Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it. Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other. One Team — We win and lose together. Titles don't drive decisions here — shared goals do. Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter. Our Vision: Unlock a labor market built on trust. Our Mission: Build confidence in every compensation decision. We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you. Still deliberating? Just apply! We're always excited to meet people who are eager to contribute. Get new jobs like this in your inbox We'll email you when Pave posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name* Email* Phone Country* Phone* Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile* Most Recent Employer* Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally for our Company in the United States?* Select... Pave operates on a hybrid model with in-office days on Monday, Tuesday, Thursday, and Friday. Does this schedule work for you?* Select... Which office location are you applying to?* Select... What interests you about joining Pave? Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Pave’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select... Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 07/31/2029 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp. How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... 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Listed by Pave for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

43 days ago

Data Strategy Tech Lead

SentiLink · United States

Pay

$180k–230k

Setting

Remote

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Data Strategy Tech Lead Location United States Employment Type Full time Location Type Remote Department Product Overview Application SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. Role: We’re looking for a leader with a technical background and deep understanding of data to lead internal initiatives within SentiLink’s Tech organization. This team builds and maintains SentiLink’s core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. Many of these systems are data-heavy and highly interdependent, requiring strong product stewardship to ensure clarity, quality, and coordinated execution. While the portfolio will include a range of internal technical projects, many of the most impactful initiatives are deeply data-driven. You will work on efforts that improve how we acquire, structure, and operationalize data across the company—building internal assets that support both current product lines and future innovation. You will bring product discipline and project leadership to work that spans engineering, data science, solutions analytics, and product teams. In this role, you will partner with teams across the company to understand how internal systems and datasets are used today and what they must support as we scale. You will translate varied internal needs into clear product requirements, prioritize improvements, and drive delivery from concept through adoption. Responsibilities: Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Translate complex internal needs into clear, actionable specifications and ensure alignment across teams. Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies. Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction. Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels. Requirements: 5+ years of experience with data-heavy or platform-oriented products, with a focus on data platform. Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces. Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies. Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs. Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams. A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability. Salary Range: $180,000/year - $230,000/year + equity + benefits Perks: Employer paid group health insurance for you and your dependents 401(k) plan with employer match (or equivalent for non US-based roles) Flexible paid time off Regular company-wide in-person events Home office stipend, and more! Corporate Values: Follow Through Deep Understanding Whatever It Takes Do Something Smart Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

43 days ago

Sales Engineer

Vantage · New York, New York, USA

Pay

$150k–250k

Setting

Remote

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About Vantage:

Vantage is the FinOps platform built for modern engineering teams, trusted by thousands of organizations including Block, FanDuel, Decagon, Temporal, and CircleCI, to manage and optimize infrastructure costs across hyperscalers, cloud providers, and foundational models. We're passionate about building a cloud cost transparency platform that helps enable everyone, from developers to enterprises, analyze, report, collaborate on, and optimize their cloud spend. Together we are a high-output team of ~55 employees based in New York City with a remote-friendly culture.

Backed by $25M from Andreessen Horowitz and Scale Venture Partners, and prominent industry veterans: Matthew Prince (Co-Founder, Cloudflare), Calvin French Owen (Co-Founder, Segment), Ben and Moisey Uretsky (Co-Founders, DigitalOcean), Stephanie and Nat Friedman (CEO, Github), Julia Lipton, Brianne Kimmel and others.

About The Role:

Customers are looking to integrate their entire stack of cloud infrastructure providers into Vantage to be able to appropriately track their costs. Each infrastructure provider can require some high-level back and forth with customers to answer any technical questions and ensure we are assisting them with the relevant details from the Vantage side.

You'll work alongside Account Executives to help prospective customers across all segments integrate their cloud infrastructure (AWS, Snowflake, Kubernetes, MongoDB, and many more) into the Vantage platform. Expect to spend the majority of your time with engineering counterparts at customer organizations.

What You Will Do:

Own the technical side of the sales cycle: demos, presentations, solution validation, and follow-up
Act as a trusted advisor to customer engineering and business stakeholders
Translate customer feedback into actionable product insights for the Vantage team
Drive escalations by coordinating across engineering, product, and customer success

What We’re Looking For:

3+ years of industry experience, including 1+ years in a Sales or Solutions Engineering role at a SaaS company
Hands-on experience with one or more major cloud providers (AWS, Azure, GCP) and vendors such as Datadog, Snowflake, Databricks, MongoDB, or Kubernetes
Excellent communicator: written, verbal, and in live technical demos
Self-directed, curious, and comfortable operating in a fast-paced, early-stage environment with a bias for action
A kind person

At this time Vantage is only set up to employ in the United States

Listed by Vantage for a position based in the United States. Employers on this board attest they are hiring domestically.

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