Software Engineer Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI builds data-centric AI infrastructure, and its Software Engineer roles sit at the intersection of ML systems, platform engineering, and applied research tooling. The company has a track record of sponsoring work visas for engineering talent, making it a realistic target for international candidates.
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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!
The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.
You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company.
- Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
- Design and implement event-driven data flows using event brokers, CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
- Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
- Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
- Contribute to infrastructure cost visibility and optimization - query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.
What You'll Bring
- 4+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
- Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
- Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
- Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment.
- Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
- Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
- Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
- Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.
Nice to Have
- Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
- Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
- Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
- Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
- Experience with Ray for distributed compute workloads.
Salary Range
- Salary Range: $172,000—$215,000 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.

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!
The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.
You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company.
- Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
- Design and implement event-driven data flows using event brokers, CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
- Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
- Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
- Contribute to infrastructure cost visibility and optimization - query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.
What You'll Bring
- 4+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
- Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
- Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
- Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment.
- Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
- Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
- Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
- Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.
Nice to Have
- Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
- Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
- Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
- Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
- Experience with Ray for distributed compute workloads.
Salary Range
- Salary Range: $172,000—$215,000 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.
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Get Access To All JobsTips for Finding Software Engineer Jobs at Snorkel AI Jobs
Align your portfolio to AI infrastructure work
Snorkel AI hires engineers who build systems around programmatic data labeling and foundation model workflows. Projects demonstrating experience with data pipelines, model serving, or ML platform tooling will position your application more competitively than general full-stack work.
Research the LCA before your offer stage
Before your employer can file an H-1B petition, DOL must certify a Labor Condition Application confirming the offered wage meets the prevailing wage for your role and location. Knowing this requirement helps you ask informed questions about timeline when an offer arrives.
Prepare a specialty occupation documentation package early
USCIS scrutinizes Software Engineer petitions for specialty occupation status. Gather degree transcripts, credentials evaluations if your degree is from outside the U.S., and any documentation linking your specific coursework to the technical requirements of the role before you have an offer.
Target roles that match your current authorization status
Snorkel AI posts Software Engineer openings across experience levels. Filter by roles whose start dates and team timelines align with your visa status, since a mid-cycle OPT expiration or an H-1B gap period can complicate onboarding even after an offer is extended.
Use Migrate Mate to find open Software Engineer roles
Sponsorship-confirmed Software Engineer postings at AI companies move quickly. Use Migrate Mate to filter Snorkel AI's active openings by visa type so you're applying to roles that explicitly support your authorization category rather than screening manually across generic job boards.
Software Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find Software Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Software Engineers?
Yes, Snorkel AI sponsors H-1B visas for Software Engineer roles. As an AI infrastructure company, it hires international engineers with backgrounds in ML systems, data pipelines, and platform development. The H-1B petition process requires your employer to first obtain a certified Labor Condition Application from DOL before filing Form I-129 with USCIS, so early alignment with your hiring manager on timeline is important.
Which visa types does Snorkel AI commonly sponsor for Software Engineers?
Snorkel AI sponsors H-1B, F-1 OPT, and TN visas for Software Engineer positions. F-1 OPT is common for recent graduates entering their first role, while TN visas apply to Canadian and Mexican nationals in qualifying engineering occupations. H-1B is the primary long-term sponsorship pathway. If you're transitioning between these statuses, confirm your authorized period covers the full onboarding timeline before accepting an offer.
What qualifications does Snorkel AI expect for Software Engineer roles?
Snorkel AI's Software Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Hands-on experience with distributed systems, ML infrastructure, or data platform development is consistently reflected in their job descriptions. For H-1B purposes, your degree field must align with the specific technical requirements of the role, so a generalist background without relevant ML or systems experience may weaken the specialty occupation case.
How do I apply for Software Engineer jobs at Snorkel AI?
You can browse and apply for Software Engineer positions at Snorkel AI directly through their careers page. To find roles that are confirmed to sponsor your specific visa type, use Migrate Mate to filter Snorkel AI's open Software Engineer postings by visa category. This saves time compared to manually reviewing job descriptions that may not disclose sponsorship availability upfront.
How do I understand the H-1B filing timeline when targeting Snorkel AI?
USCIS opens H-1B cap registration each March for the following October 1 start date. If you're on OPT and receive an offer from Snorkel AI in the months before registration opens, confirm your OPT end date leaves enough runway to bridge the gap. Premium processing is available for faster adjudication, but the October 1 cap-subject start date is fixed regardless. Plan your job search timeline backwards from the March registration window.
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