The role focuses on building and operating the infrastructure for model training and evaluation, including GPU clusters, training pipelines, and orchestration systems. It involves managing ML frameworks, experiment tracking, and ensuring reliable, scalable execution of training jobs.

Senior AI/ML Engineer to join the AI Platform team, focusing on distributed systems, LLM infrastructure, synthetic data generation, and agentic orchestration. The role involves architecting the core platform, designing APIs and compute services, generating synthetic data, creating and evaluating agentic systems, provisioning RL training environments, deploying benchmarks and labeling pipelines, and running LLMs efficiently.

Lead a forward-deployed engineering team focused on building and delivering high-quality datasets for AI initiatives. This involves defining data quality, implementing workflows, enhancing human-in-the-loop techniques, and owning systems for scalable data delivery. The role sits at the intersection of data engineering, ML engineering, and customer engagement, requiring strong leadership and hands-on technical skills in LLM-based workflows.

Applied AI Engineer at Snorkel AI, focusing on building and deploying Gen AI and ML solutions for customers, leveraging Snorkel Flow or custom approaches. Responsibilities include developing RAG, fine-tuning pipelines, prompt engineering, agentic workflows, creating datasets and evaluation workflows, and collaborating with customers and product teams. The role emphasizes bridging AI technology with business value and standardizing solutions into platform capabilities.

Applied AI Engineer role focused on building and deploying Gen AI and ML solutions for enterprise customers, leveraging Snorkel Flow or custom approaches. Responsibilities include customer partnership, developing RAG, fine-tuning, prompt engineering, and agentic workflows, creating datasets and evaluation workflows, and standardizing solutions into reusable recipes and platform capabilities. The role emphasizes a data- and evaluation-first mindset and bridging the gap between AI technology and business value.

Senior Full Stack Engineer to build and maintain an Expert Data Collection Platform that enables domain experts to provide high-signal data for training and refining AI models. The role involves end-to-end feature development, scalable service optimization, and user-focused interface design.

Manager for Forward Deployed Engineering (FDE) within the Data-as-a-Service (DaaS) organization. This role leads a team responsible for the technical execution of DaaS delivery, owning systems, workflows, and quality frameworks for high-quality dataset production at scale. Responsibilities include building and leading the FDE function, defining its operating model and roadmap, hiring and mentoring engineers, owning AI data pipelines (generation, evaluation, quality), driving ML-assisted and HITL workflows, establishing measurement and benchmarking systems, and developing internal tooling. The role requires strong hands-on technical depth in AI/ML/GenAI engineering, experience leading engineers, building/operating production ML/LLM workflows, proficiency in Python/SQL, and experience with evaluation frameworks.

Partner with Sales to lead technical discovery, solution scoping, and demo development for GenAI and ML solutions, translating customer needs into technical proposals and driving adoption of AI.

Snorkel AI is seeking a Forward Deployed Engineer to work on AI/ML data products for enterprise clients. This role involves end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows, building HITL data generation and review processes, generating synthetic datasets, and packaging production-grade datasets. The engineer will also define production specifications, build evaluators, design quality measurement systems, and perform custom model benchmarking.

Staff Backend Engineer at Snorkel AI responsible for setting technical direction and strategy for the Expert Contributor (EC) Platform, focusing on the end-to-end EC lifecycle, including automated onboarding, performance management, and contributor retention. The role involves building robust features, integrating with third-party services, automating supply and allocation logic for ECs, prototyping and optimizing data user management pipelines, and setting strategy for build systems and CI/CD. This role also involves mentoring engineers and partnering with cross-functional teams to improve dev-infra, release processes, and internal tooling, with a focus on enabling domain experts to provide data for AI training and refinement.

Staff Software Engineer for Core Services at Snorkel AI, focusing on building and maintaining the data platform that powers the company's AI solutions. This role involves designing event-driven data flows, implementing data governance and lineage tracking, instrumenting the platform for observability, and optimizing infrastructure costs. The engineer will also contribute to modernizing CI/CD and integrating AI SRE tooling, shaping the AI-native development workflow.

Software Engineer for Core Services team at Snorkel AI, focusing on building and maintaining the data platform that powers Snorkel's AI solutions. This role involves designing event-driven data flows, implementing data governance and lineage tracking, instrumenting the platform for observability, and optimizing infrastructure costs. The position emphasizes working with Python, SQL, AWS, Kubernetes, and data orchestration tools, while also integrating AI SRE tooling and AI-assisted development workflows.

Senior Backend Engineer at Snorkel AI responsible for building and maintaining the Expert Contributor (EC) Platform, which enables domain experts to provide high-signal data for training and refining AI models. The role involves designing and developing mission-critical systems for the EC lifecycle, including onboarding, performance management, and integrations with third-party services. Focus on automating supply and allocation logic for a high volume of ECs and managing data user pipelines.

This role is for a Senior Software Engineer on the Developer Experience team, focusing on building and improving the AI-native development environment, CI/CD platforms, and AI SRE tooling. The goal is to accelerate developer velocity, reliability, and product quality. The role involves setting strategy, owning the CI health and release pipeline, and championing AI-native workflows. It offers a path to Tech Lead Manager.

This role focuses on refining and evolving testing infrastructure and tooling to accelerate engineering velocity and product quality for an AI data company. The engineer will design, implement, and maintain automated testing systems, create internal tools to improve developer productivity, and partner with DevOps to optimize CI/CD pipelines. The company's mission is to help enterprises transform expert knowledge into specialized AI at scale.

IT Operations Engineer responsible for providing Tier 1/2/3 support, automating IT processes using AI agents and scripting, leading SOC2 compliance technical execution, managing core IT tools, improving AI-driven support bots, and maintaining office infrastructure. Requires 6+ years of IT experience, expertise in Okta, Jamf Pro, Crowdstrike, Cisco Meraki, Google Workspace, and proficiency in Python or Bash.

Security Engineer to enhance Snorkel's security posture across cloud infrastructure, developer platform, and product ecosystem. Responsibilities include securing cloud environments, building security automation, guiding cross-functional initiatives, and embedding security into engineering workflows. The role involves working across infrastructure, platform, product, and application teams to ensure secure scaling and compliance in cloud-native environments. Requires strong fundamentals in cloud security and motivation to grow.

This role is for a Manager, Technical Delivery at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale. The manager will lead and scale a team of Technical Delivery Managers (TDMs), overseeing complex customer projects, driving operational excellence, and collaborating cross-functionally. The role requires experience in technical delivery, people management, and a strong understanding of data systems, analytics, or AI/ML concepts.

Software Engineering Intern to work on Snorkel's Data-as-a-Service (DaaS) platform, focusing on building novel, high-quality training data for AI systems. The role involves end-to-end ownership of features, from concept to implementation, and developing scalable systems for data creation, labeling, and validation.

Recruiting Coordinator at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale. The role involves managing the candidate experience, scheduling interviews, coordinating processes, and reporting on recruiting metrics. This is a contract opportunity.