Applied Machine Learning Engineer

Snorkel AI
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Job Description

At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organizations, to empowering scientists, doctors, and journalists — we’ve seen firsthand how this approach democratizes and accelerates AI. Now, we’re building Snorkel Flow to bring our technology to everyone!

Excited to help us redefine how AI applications are built? Apply to be the newest Snorkeler!

As an Applied Machine Learning Engineer, you’ll research and utilize established and state-of-the-art machine learning (ML) techniques to successfully deliver solutions to our customers. You'll engage new 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. The road from A to B isn’t always clear-cut, and the impact of our work is global. Our team is mission-driven and customer-obsessed, and we are looking for an intellectually curious and energetic individual who can replicate this model across our ML initiatives.

Main Responsibilities

  • Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization
  • 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 ML paradigms, data science workflows, and share customer feedback to product teams

Preferred Qualifications

  • 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
  • Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation
  • 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

The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $140,000.00 - $200,000.00. All offers include equity compensation in the form of employee stock options.

Be Your Best At Snorkel

Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.

Snorkelers are supported by an amazing team and an amazing set of benefits. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.

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.

Company Info.

Snorkel AI

Snorkel AI is a technology startup that empowers data scientists and developers to quickly turn data into accurate and adaptable AI applications with Snorkel Flow, a first-of-its-kind data-centric development platform powered by programmatic labeling. Snorkel Flow reduces the time, cost, and friction of labeling training data so data science and development teams can more easily build and scale AI models to deploy more meaningful applications.

  • Industry
    Artificial intelligence,Computer software
  • No. of Employees
    30
  • Location
    Palo Alto, CA, USA
  • Website
  • Jobs Posted

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Snorkel AI is currently hiring Applied Machine Learning Engineer Jobs in Palo Alto, CA, USA with average base salary of $140,000 - $200,000 / Year.

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