[Remote] Data Scientist - Data-as-a-Service at Snorkel AI

United States

Apply Now

$120,000 – $180,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data ScienceIndustries

Requirements

Experience with data science, data engineering, AI engineering and operations
Comfortable working throughout the presales to delivery lifecycle
Ability to solve complex multi-faceted problems
Strong technical communication skills
Ability to work well as a key member of a team

Responsibilities

Partner with the Sales Team on client discovery calls
Develop and present technical assets including specifications, data dictionaries, and demonstrations
Define project scope and success criteria
Design and execute calibration processes
Build and deploy evaluators and quality measurement systems
Generate synthetic datasets
Package and deliver production-grade datasets
Configure and build custom applications
Define production specifications and workflows
Provide ongoing technical support to Delivery Managers
Maintain specification consistency across teams
Identify and document workflow best practices and automation opportunities

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningAIData PipelinesML-assisted applicationsTechnical SpecificationsEvaluation WorkflowsQuality StandardsMeasurement Frameworks

Questions & Answers

Common questions about this position

What is the salary or compensation for this Data Scientist role?

This information is not specified in the job description.

Is this Data Scientist position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Data Scientist - Data-as-a-Service role?

The role requires skills in data science, data engineering, AI engineering, developing and deploying ML-based workflows, designing evaluation workflows, implementing quality standards, and building ML-assisted applications for data pipelines.

What is the company culture like at Snorkel AI?

Snorkel AI fosters a collaborative, high-impact environment where team members partner closely with cross-functional stakeholders, thrive as technical communicators, and work as key team members to solve complex problems throughout the presales to delivery lifecycle.

What makes a strong candidate for this Data Scientist position?

Strong candidates are comfortable with end-to-end ownership of AI data pipelines, partnering in pre-sales discovery and project delivery, and excelling as technical communicators who solve complex problems in a team setting.

Snorkel AI

Transforms manual AI processes into programmatic solutions

About Snorkel AI

Snorkel AI focuses on improving the development of artificial intelligence by transforming traditional manual processes into automated, programmatic solutions. This allows businesses to create AI systems that are specifically designed for their unique needs much more quickly. Their technology is based on research from the Stanford AI lab and is used by major organizations, including top US banks, government agencies, and Fortune 500 companies. Snorkel AI stands out from its competitors by offering proprietary data and knowledge that help speed up the deployment of AI solutions. The company's goal is to make AI development more efficient and accessible for enterprises, enabling them to leverage AI effectively in their operations.

Redwood City, CaliforniaHeadquarters

2019Year Founded

$131.3MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Health - Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.

Environment - We provide an allowance for Snorkelers to set up workstations however they want.

Wellness - Snorkelers are given a yearly wellness stipend to be used on anything relating to health and well-being.

Risks

Open-source AI platforms like Together AI increase competition for Snorkel AI.

Copyright lawsuits against AI firms pose potential legal risks for Snorkel AI.

Rapid expansion may lead to integration challenges within Snorkel AI's operations.

Differentiation

Snorkel AI uses programmatic data labeling to accelerate AI development.

The company transforms proprietary data into AI-ready datasets for specialized models.

Snorkel AI's technology originated from Stanford AI Lab research.

Upsides

Snorkel AI's partnership with Together AI enables custom LLMs for enterprises.

The release of Snorkel Flow 2023.R4 enhances user experience and tool integration.

Growing demand for programmatic data labeling boosts Snorkel AI's market potential.

Land your dream remote job 3x faster with AI

Try Jobo Free