Snorkel AI

• Identify, develop, and advance opportunities across the Intelligence Community. • Build trusted relationships with mission operators, analysts, technical leaders, program offices, and acquisition stakeholders. • Develop a strategic territory plan and drive execution against growth objectives. • Understand customer missions, workflows, operational challenges, and emerging priorities. • Collaborate with solution architects, AI engineers, and mission experts to shape solutions aligned to customer needs. • Lead opportunities from initial engagement through contract award.

Role Description We are seeking a Trust & Safety Associate to help protect the integrity of our expert contributor ecosystem. Reporting to the Sr. Manager of Operations: Fraud, Integrity & Compliance, you will execute investigations, identify emerging fraud patterns, and support the development of operational controls that safeguard workforce quality and compliance. You will help ensure that our team of expert contributors (ECs) are who they are, located where they are, and remain compliant with our community guidelines and standards of operation. If you thrive in dynamic environments, excel at investigation and pattern identification, and are motivated by the challenge of the ever-changing threat actor landscape while delivering impact for some of the world’s largest enterprises, we’d love to hear from you. What You’ll Do - Investigations & Enforcement: Review suspicious activity, conduct investigations, document findings, and recommend appropriate enforcement actions in accordance with company policies. - Execute Operational Runbooks: Be responsible for running daily operational investigation runbooks to identify fraud and integrity issues in our community. - Identify Emerging Trends: Identify emerging risk trends and contribute to the development and refinement of operational runbooks that detect and mitigate fraud and integrity risks. - Cross-Functional Collaboration: Partner with Operations, Expert Supply, Legal, and Product teams to ensure integrity requirements are reflected throughout the contributor lifecycle. - Vendor Operations: Monitor fraud-prevention vendors, identify gaps in coverage, and provide recommendations to improve detection and enforcement outcomes. - Reporting & Analysis: Produce reporting on fraud trends, enforcement actions, and operational impact, and support efforts to quantify risk exposure and mitigation opportunities. Qualifications - 2–4 years of experience in Trust & Safety, Fraud Operations, Risk Operations, Investigations, Customer Support Operations, Analytics, or a related operational role. - Genuine interest in the evolving fraud landscape. - Demonstrated ability to improve operational processes, manage competing priorities, and execute effectively in ambiguous environments. - Ability to clearly articulate project status, risks, and solutions to both technical and non-technical audiences. - Comfortable working with data to investigate anomalies and identify trends. Able to write and modify SQL queries independently, leveraging AI tools where appropriate to accelerate analysis. - Thrive in fast-paced, high-growth environments where priorities evolve quickly. - Ability to identify patterns in large datasets, investigate anomalies, and make sound decisions with incomplete information. Bonus points for: - Experience working in data, AI/ML, or enterprise SaaS environments. - Previous experience in fraud or workforce integrity. Salary Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role: $109,000 — $192,000 USD. Benefits Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Equal Employment Opportunity Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Role Description We are seeking an experienced and highly organized Payroll, Global Compliance & Benefits Manager to own and scale our payroll, compliance, and benefits operations as Snorkel continues to grow globally. This role will serve as the primary subject matter expert for: - U.S. and international payroll operations - Payroll accounting - Multi-state and global compliance - Employee benefits administration - Regulatory filings - Bonus and commission processing - Payroll tax compliance - Payroll-related audits You will partner closely with Finance, People Operations, Legal, and external service providers to ensure employees are paid accurately and on time while maintaining compliance across all jurisdictions in which we operate. The ideal candidate combines deep payroll expertise with a proactive compliance mindset and thrives in fast-paced startup environments. What You'll Do - Payroll Operations - Own and manage end-to-end payroll processing for U.S. employees. - Oversee and coordinate international payroll operations across multiple countries. - Serve as the internal payroll expert and primary administrator for Rippling. - Partner with international payroll providers, EOR partners, and local advisors. - Administer semi-monthly payroll cycles, including salary, bonuses, commissions, and more. - Review payroll changes for accuracy, completeness, and compliance. - Ensure consistency and integrity of payroll data across all payroll systems and providers. - Partner closely with People Operations to ensure employee lifecycle events are accurately reflected in payroll systems. - Continuously improve payroll processes, controls, and documentation. - Bonus & Commission Administration - Own or support the calculation, validation, and payroll processing of employee bonus and commission programs. - Partner with Finance, Revenue Operations, and Sales leadership. - Review bonus and commission payouts for accuracy and completeness. - Support commission and bonus accrual calculations and related accounting entries. - Payroll Accounting & Financial Close - Prepare and reconcile payroll-related journal entries. - Maintain payroll-related balance sheet reconciliations and supporting schedules. - Support month-end, quarter-end, and year-end close activities. - Reconcile payroll reports to the general ledger and investigate discrepancies. - Partner with Accounting and Finance teams for accurate payroll-related financial reporting. - Support annual compensation-related disclosures and audit requests. - Compliance & Regulatory Filings - Own payroll compliance across federal, state, local, and international jurisdictions. - Ensure timely and accurate payroll tax filings, registrations, renewals, and remittances. - Manage multi-state payroll compliance requirements. - Oversee state and local business registrations and annual compliance requirements. - Coordinate and support annual business property filings. - Ensure timely completion of annual payroll reporting requirements. - Partner with internal and external stakeholders for compliance. - Monitor legislative and regulatory changes. - Maintain compliance calendars and ensure all filing deadlines are met. - Benefits & Retirement Plan Administration - Administer payroll-related aspects of employee benefit programs. - Partner with brokers, benefit providers, and People Operations. - Coordinate and lead annual 401(k) audit activities. - Support retirement plan compliance and employee contribution accuracy. - Assist with annual benefit renewals and payroll implementations. - Audit & Internal Controls - Serve as the primary payroll and compliance contact for external auditors. - Support financial statement audits and regulatory examinations. - Maintain payroll process narratives, policies, and documentation. - Develop and strengthen payroll-related internal controls. - Ensure audit readiness through organized documentation. - Systems & Process Improvement - Manage relationships with payroll providers and related vendors. - Evaluate and implement payroll process improvements. - Ensure payroll systems and integrations operate effectively. - Partner cross-functionally on system implementations. - Support global expansion efforts by establishing payroll processes in new states and countries. - Develop scalable processes that support a growing workforce. Qualifications - 7+ years of progressive payroll experience with ownership of end-to-end payroll operations. - Hands-on experience administering payroll through Rippling. - Experience managing both U.S. and international payroll operations. - Deep understanding of federal, state, local, and international payroll compliance requirements. - Strong knowledge of payroll tax regulations and reporting requirements. - Experience managing multi-state payroll environments. - Experience supporting bonus and commission calculations. - Strong understanding of payroll-related GAAP accounting principles. - Exceptional attention to detail and organizational skills. - Strong analytical and problem-solving abilities. - Excellent communication and stakeholder management skills. - Ability to work independently and prioritize competing deadlines. Bonus Points For - Certified Payroll Professional (CPP) certification. - Experience in a high-growth technology, SaaS, or AI company. - Experience with global payroll platforms. - Experience supporting employees across multiple regions. - Experience with equity compensation payroll implications. - Experience with California payroll compliance. - Experience building payroll functions in a scaling startup environment. - Experience implementing payroll systems and process improvements. Location Bay Area strongly preferred; open to remote. Salary Range $1 — $100,000 USD

Role Description The Coding space is one of Snorkel’s most important growth vectors. As enterprises and leading AI labs race to build more capable coding models, demand for high-quality coding data and specialized engineering expertise is accelerating rapidly, making this a strategic priority for the business. We are hiring a Senior Operations Manager, Supply - Coding to own and scale the coding supply function, deeply embedded in our Data-as-a-Service (DaaS) business. Our DaaS business sources expert contributors to solve some of the most frontier problems in AI. These contributors include highly specialized software engineers, researchers, and technical experts who perform high-quality AI training work for the world’s leading AI labs. This leader will be responsible for ensuring we have sufficient high-quality coding experts to meet both current and projected customer demand while proactively planning for future growth. The core challenge of this role is finding the right skillsets, at the right capacity, through a mix of channels that solves for both speed and efficiency. This role reports to the Head of Supply and directly supports delivery leadership, working shoulder-to-shoulder with Delivery, Growth, GTM, Finance, Partnerships, and Analytics teams to ensure we have the right contributors, in the right domains, activated and producing at the right time. Understanding the nuances of projects across the entire sales lifecycle, you will be a key stakeholder in translating demand signals into scalable supply strategies and operational plans. This is a high-impact role for an operator who is equally comfortable building strategic growth plans, forecasting future workforce needs, and driving operational excellence through data. You will play a critical role in shifting our operating model from reactive to proactive while ensuring our coding expert ecosystem can scale alongside business growth. What You'll Do - Own the Coding pod’s supply strategy and capacity planning: forecast future talent needs, build supply ahead of customer demand, and align supply investments and expert allocation decisions with forecasted demand and business priorities. - Own coding supply performance and reporting: hold accountability for metrics including expert growth, activation, utilization, forecast accuracy, delivery readiness, and supply-demand balance, and design and own the supply operations dashboard in partnership with Analytics, regularly reviewing performance, surfacing risks, and driving action plans to achieve business targets. - Optimize expert allocation and incentives: deploy the right contributors across competing business priorities to maximize utilization, delivery outcomes, and customer success, and design contributor incentive structures that balance quality, throughput, utilization, and project delivery timelines. - Serve as the primary Supply point of contact for the Coding pod and partner cross-functionally: run pod standups and align priorities and readiness against growth plans; work with Data, Analytics, and Operations on attribution and visibility across every stage of the supply funnel; align with stakeholders to rapidly shift priorities as demand forecasts evolve; and partner closely with Growth, GTM, Finance, and Partnerships to inform commercial planning, workforce readiness, capacity commitments, and long-range supply strategy. - Scale supply channels and manage risk: partner with the Partnerships team to evaluate and scale strategic talent channels including BPOs and other external supply partnerships, and identify structural supply risks, capacity constraints, and delivery dependencies, developing both immediate mitigation plans and long-term solutions. Qualifications - 5+ years of experience in growth operations, supply operations, consulting, strategy, or related roles in high-growth or operationally complex environments. - Experience building supply and demand forecasting models, including scenario-based planning (conservative, base, and aggressive cases). - Strong analytical skills, including experience with SQL and data-driven decision-making. - Experience operating in marketplace, workforce, staffing, creator economy, or other two-sided platform businesses. - Demonstrated experience balancing supply growth, utilization, capacity planning, and forecasting in rapidly scaling environments. - Strong strategic thinking skills with the ability to translate business demand signals into actionable supply strategies. - Track record of managing or coordinating cross-functional teams to execute at speed. - Ability to bring structure and clarity to ambiguous problem spaces and build scalable processes from imperfect systems. - Excellent written and verbal communication skills, with experience presenting operational performance and growth metrics to senior stakeholders. - Entrepreneurial mindset with high ownership, strong prioritization skills, and a bias toward action. - Comfortable operating as both a strategic thinker and hands-on operator in a fast-changing environment. Requirements - Pay Transparency Notice: Depending on your work location, the target annual salary base for this position can range as detailed below. - The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, New York, and Seattle is $160,000-$240,000. - All offers include equity compensation in the form of employee stock options. Benefits - Snorkel also includes benefits (including medical, dental, vision and 401(k)). Company Description Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Role Description We're looking for a Research Scientist to work on reinforcement learning for training and aligning large language models. This is a foundational research role focused on one of the most consequential open data problems in AI: - How to generate the data, reward signals, and training procedures that steer LLM behavior in reliable and generalizable directions. - A core capability that directly differentiates Snorkel's data-as-a-service offering. You'll work closely with Snorkel's research, engineering, and delivery teams to advance our RL data capabilities: - Translating research ideas into the preference datasets, reward models, and RL-ready corpora we produce for frontier AI labs. - Contributing to a research agenda that is central to Snorkel's long-term differentiation as a provider of bespoke training data. Qualifications - Deep expertise in reinforcement learning from human or AI feedback, reward modeling, and credit attribution. - Experience training or fine-tuning 30B+ large language models at scale. - Strong proficiency in Python and ML frameworks, especially PyTorch and HuggingFace. - Solid software engineering fundamentals. - Familiarity with ML infrastructure and cloud platforms and tools (AWS, GCP, Kubernetes, Slurm, etc.). - Comfort operating in a high-iteration environment with open-ended research questions. - Ph.D. in machine learning, reinforcement learning, or a related field strongly preferred; exceptional industry experience considered. Requirements - Research and implement reinforcement learning techniques — including GRPO, RLHF, RLAIF, DPO, and reward modeling. - Design and build data pipelines that generate high-quality training signals for RL workflows. - Prototype and iterate on end-to-end RL training recipes. - Work closely with research scientists, ML engineers, and delivery teams. - Stay current with the latest developments in large-scale multi-node LLM training and alignment research. - Contribute to Snorkel's research publications and internal knowledge base in RL and model training. Benefits - Market proven solutions and robust funding. - Opportunities to shape priorities and initiatives. - Influence key strategic decisions and directly impact ongoing success. - Support in building your career in an environment designed for growth, learning, and shared success.

Role Description As an Operations Manager at Snorkel AI, you will own the operational backbone of our Solutions AI delivery organization. You will be accountable for: - Putting the right people on the right work - Maintaining clear visibility into execution and financial performance - Driving alignment across pipeline, staffing, delivery, and revenue - Building the systems, processes, and operating rigor required to scale a high-performing Professional Services organization Main Responsibilities - Own capacity planning and staffing for the Solutions AI Engineers in Float, aligning resources to projects based on skills, priority, and availability - Build and maintain capacity and revenue forecasts based on pipeline, active projects, and hiring plans - Run scenario planning to identify hiring needs, capacity gaps, and delivery risks - Translate Salesforce (MEDDIC) pipeline into staffing plans and hiring signals, ensuring alignment between demand and capacity - Partner with Engagement Managers during deal formation to validate scope, resourcing, timelines, and margin assumptions - Ensure accurate timesheet submission, utilization tracking, and operational compliance across the delivery organization - Define standards for project setup, tracking, and reporting to ensure consistent execution across engagements - Establish operating cadences (e.g., weekly project and portfolio reviews) to ensure consistent execution - Maintain accurate project and portfolio reporting, including execution status, burn, margin, capacity, and delivery risks - Partner with Finance to ensure accurate revenue recognition, forecasting, and auditability of delivery data - Own reporting and dashboards for core PS metrics, ensuring a single source of truth across systems - Own data quality and consistency across Float, Jira, and Salesforce - Standardize workflows across Float, Jira, and Salesforce; improve data quality Qualifications - 5+ years in Professional Services Operations, Delivery Operations, or similar - Proven experience with resource planning, capacity management, and utilization - Experience with forecasting, capacity modeling, or financial planning in a services environment - Proficiency with PSA/PM/CRM tools (e.g., Float, Jira, Salesforce) - Strong understanding of PS financials (margin, burn, revenue recognition) and associated tools (Excel/Sheets; dashboarding/reporting) - Experience designing or optimizing workflows across multiple systems (PSA, CRM, project management tools) - Comfortable operating in ambiguity and building processes from the ground up - Candidate must be located in the United States - No Visa Sponsorship Provided Locations - New York - San Francisco Bay Area - Remote - US Salary Range $100,000 — $140,000 USD Benefits All offers include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Company Description Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Role Description As a Delivery Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact. You’re Excited About This Opportunity Because You Will: - Collaborate with Technical Delivery Manager to meet project timelines, deliverables, and quality standards. - Engage with Expert Contributors to ensure high-quality datasets are delivered to customers. - Conduct quality reviews to maintain data annotation accuracy and consistency. - Monitor pipeline health and implement proactive solutions to prevent bottlenecks. - Track project progress and performance through data analysis and reporting. - Develop documentation for labeling guidelines and operational processes. - Partner with stakeholders across teams to resolve blockers and sustain production efficiency. - Provide regular updates to stakeholders on progress and key insights. Qualifications - Proficiency with Google Workspace tools and strong data analysis skills. - A proactive, results-driven mindset with creative problem-solving abilities. - Adaptability to excel in a fast-paced, dynamic environment. - Excellent written and verbal communication skills in English. - Experience working with technical and non-technical stakeholders. - The ability to work independently and collaboratively in a remote setting. Requirements - Familiarity with data annotation pipelines and machine learning workflows. - Experience with SQL or other database languages. - Strong analytical and process improvement capabilities. - A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics. Benefits - Pay Transparency Notice: Depending on your work location in the United States, the target annual salary for this position can range as detailed below. - Pay Range: $100,000-$150,000. - In Mexico, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. - Pay Range: $3,000-$5,000 per month (USD). Company Description Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

• Develop strong relationships with Talent Partners and hiring teams across multiple business units • Schedule and coordinate interviews for Talent Partners and hiring teams in a timely manner. • Create agendas for on-sites, schedule debrief meetings, collect feedback, and prepare reports as needed. • Support candidates before, during, and after onsite and virtual interviews • Ensure smooth and efficient coordination processes that are streamlined and compliant. • Own some aspects of reporting of overall recruiting metrics such as interviewing volume, and monitor candidate movement in our ATS (Greenhouse) • Maintain data integrity in our ATS. Support execution of projects/programs related to employer brand, candidate experience, implementation of new systems, and recruiting process improvements • Support leadership teams with interviewer training and calibration

Build prototypes using AI tools and collaborate with engineers to enhance production quality. Analyze user workflows to identify issues and improve outcomes, while shaping design to influence system behavior effectively.

Research Scientist, RL Training Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! ABOUT THE ROLE  We're looking for a Research Scientist to work on reinforcement learning for training and aligning large language models. This is a foundational research role focused on one of the most consequential open data problems in AI: how to generate the data, reward signals, and training procedures that steer LLM behavior in reliable and generalizable directions — and a core capability that directly differentiates Snorkel's data-as-a-service offering.  You'll work closely with Snorkel's research, engineering, and delivery teams to advance our RL data capabilities — translating research ideas into the preference datasets, reward models, and RL-ready corpora we produce for frontier AI labs, and contributing to a research agenda that is central to Snorkel's long-term differentiation as a provider of bespoke training data.  MAIN RESPONSIBILITIES  - Research and implement reinforcement learning techniques — including GRPO, RLHF, RLAIF, DPO, and reward modeling — and translate them into data products (preference datasets, reward signals, verifiable rewards) that customers can use to train and fine-tune large language models.  - Design and build data pipelines that generate high-quality training signal for RL workflows, including AI-assisted data annotation and curation data pipelines to improve model generalization to unseen benchmarks .  - Prototype and iterate on end-to-end RL training recipes that inform what data Snorkel ships as part of its data-as-a-service deliveries.  - Work closely with research scientists, ML engineers, and delivery teams to translate RL research into customer-ready data products. - Stay current with the latest developments in large-scale muli-node LLM training, alignment research, and scalable RL methods (on complex environments such as Terminal-Bench), bringing relevant advances into Snorkel's data-as-a-service approach. - Contribute to Snorkel's research publications and internal knowledge base in RL and model training. PREFERRED QUALIFICATIONS  - Deep expertise in reinforcement learning from human or AI feedback, reward modeling and credit attribution ideally with a clear perspective on what data makes these techniques work.  - Experience training or fine-tuning 30B+ large language models at scale, including familiarity with distributed training infrastructure.  - Strong proficiency in Python and ML frameworks, especially PyTorch and HuggingFace and hands-on experience with RL frameworks such as Verl and SkyRL.  - Solid software engineering fundamentals — you can build research prototypes that others can run, extend, and integrate into data production workflows.  - Familiarity with ML infrastructure and cloud platforms and tools (AWS, GCP, Kubernetes, Slurm, etc.); experience with large-scale RL training pipelines a strong plus.  - Comfort operating in a high-iteration environment with open-ended research questions and shifting, customer-driven technical constraints.  - Ph.D. in machine learning, reinforcement learning, or a related field strongly preferred; exceptional industry experience considered.  Salary Range $200,000 - $275,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.