Senior Applied Research Scientist, Snorkel AI

NLP

$160-210k

All offers include equity compensation in the form of employee stock options

AWS

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Senior level

New York

San Francisco Bay Area

Remote from US

More information about location

The AI data research lab

Job no longer available

The AI data research lab

501-1000 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Job no longer available

$160-210k

All offers include equity compensation in the form of employee stock options

AWS

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Senior level

New York

San Francisco Bay Area

Remote from US

More information about location

501-1000 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Company mission

To empower everyone to solve their most impactful problems through data-centric AI.

Job

Company

Role

Who you are

Broad expertise and understanding of AI, NLP, LLM, and generative AI trends
Experience prototyping, experimenting, and testing with large scale datasets and training deep models
Experience with standard machine learning frameworks and tools (NumPy, Scikit-learn, Pandas, Pytorch, TensorFlow, etc.) and machine learning cloud infrastructure and accelerators (AWS, Google Cloud, GPUs and TPUs)
Strong technical communication skills and the ability to work in a fast-paced environment
Experience with developing robust software with excellent coding hygiene and modular design
The position involves working with problems with no off-the-shelf solutions and requires innovation on-the-fly. Typically a Ph.D. in machine learning or a related area with good publication history would be a good fit for this position. We would also love to hear from people with similar skill sets acquired through other career paths

What the job involves

As an Applied Research Scientist, you will innovate and translate cutting edge research into user experiences
We would love to hear from you! More broadly you will work on supervision (self-supervised, semi-supervised, weakly supervised etc) and representation learning methods which result in practical tooling for building and maintaining state-of-the-art machine learning models at scale
Establish and empirically demonstrate the state-of-the-art approaches for data-centric model iteration and analysis
Prototype end-to-end workflows with novel techniques and algorithms, synthesize results, and help to transfer learnings into Snorkel products
Work closely with design partners to validate your work on real-world use cases with measurable impact
Contribute to novel research on topics of interest to Snorkel AI by collaborating with other Snorkel Research scientists and affiliate scientists (academic, government, and industry researchers)

Our take

Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.

Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.

The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company;'s engineering, research, and go-to-market efforts.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

May 2025

$100m

SERIES D

Aug 2021

$85m

SERIES C

Total funding: $235m

Company benefits

Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.

Company HQ

Centennial, Redwood City, CA

Leadership

Alex Ratner

(Co-Founder & CEO)

Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 27 more jobs at Snorkel AI