Applied Machine Learning Engineer, Snorkel AI

Go To Market

$140-210k

Offers include equity compensation in the form of employee stock options

Python

Tensorflow

PyTorch

Senior and Expert level

New York

San Francisco Bay Area

1+ day a week in office

Data-centric enterprise AI platform for

Be an early applicant

Data-centric enterprise AI platform for

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Be an early applicant

$140-210k

Offers include equity compensation in the form of employee stock options

Python

Tensorflow

PyTorch

Senior and Expert level

New York

San Francisco Bay Area

1+ day a week in office

101-200 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

This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value
5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field
1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services
Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement
Strong experience working with Generative AI models (LLMs, transformers, embeddings, etc.)
Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, XGBoost, ScikitLearn)
Experience building and maintaining large scale, production data pipelines for machine learning applications
Ability to work in a fast-paced environment and strong technical communication skills

What the job involves

As an Applied Machine Learning Engineer on the Go to Market team you’ll research and utilize established and state-of-the-art Gen AI and ML techniques to successfully deliver solutions to our customers
You'll engage new Gen AI and ML use cases through hands-on customer problems and help generalize learnings into the core Snorkel Flow platform
We move fast and are constantly prototyping new ways to deliver value to our customers
Design and implement customer AI projects from end to end, with a focus on Generative AI and ML solutions. This includes defining the business case, scoping the project, applying techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt tuning, ML model training, and optimizing model performance for real-world deployment to maximize business impact
Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials
Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Deliver training and enablement to customers

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. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Aug 2021

$85m

SERIES C

Apr 2021

$35m

SERIES B

Total funding: $135m

Company benefits

Home office allowance
Yearly wellness stipend
Healthy meals, snacks & drinks in office
401k with a 100% match up to 5% of annual salary
Regular team events
Generous paid parental leave
Work from home opportunities
Health insurance

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.

Paroma Varma

(Co-founder)

They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.

Braden Hancock

(Co-founder & Head of Technology)

They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.

Henry Ehrenberg

(Co-Founder)

They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.

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