Women Impact Tech

Machine Learning Research Engineer

    Palo Alto, CA

About the Role:

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!

Building Snorkel Flow requires outstanding engineers and technologies across the stack, including scalable data pipelines, elegant and intuitive interfaces (both visual and programmatic), state-of-the-art ML modeling techniques, and best practices for seamless deployment. Modern AI approaches require large labeled training datasets to learn from. While traditional approaches typically rely on armies of human annotators to label by hand, Snorkel Flow empowers users to programmatically label and build training data sets to drive a radically faster, more flexible, and higher quality end-to-end AI development process. Snorkel Flow is an end-to-end development platform, complete with a GUI and powerful programmatic interfaces for driving the development process for full AI application workflows: from preprocessing, to programmatic training data creation, to ML model training, to analysis, and deployment. It’s the data-first platform for enterprise AI.

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

As a Machine Learning Research Engineer, you will design, prototype, and implement state-of-the-art ML techniques and algorithms in growing areas such as weak supervision, AutoML, fairness, bias, and interpretability. You’ll collaborate with industry-leading research scientists and engineers across the stack to deliver new ML user experiences as a part of the Snorkel Flow platform.

(If you’re excited about working on customer-motivated AI use cases or ML systems engineering, also check out our Machine Learning Engineer and Machine Learning Systems Engineer roles, respectively).

Main Responsibilities

  • Prototype and experiment with novel ML techniques and algorithms, synthesize results, and integrate findings into Snorkel Flow.
  • Collaborate with Snorkel Research affiliate scientists (academic, government, and industry researchers) to translate cutting edge research into practical and performant implementations.
  • Design and build features for automating portions of ML workflows and incorporating ML best practices around interpretability, fairness, bias, and robustness.

Preferred Qualifications

  • 3+ years of professional experience with machine learning, or 1+ years of professional experience with machine learning with an advanced degree in a relevant field.
  • Experience prototyping, experimenting, and testing with large scale datasets (especially in NLP).
  • Experience with standard data science tools (Pandas, NumPy, Scikit-learn, Matplotlib, etc.) and open source ML frameworks (PyTorch, TensorFlow, etc.).
  • Experience developing enterprise software with excellent coding hygiene and modular design.
  • Strong technical communication skills and the ability to work in a fast-paced environment.

If you applied to a position at Snorkel AI over 9 months ago, feel free to re-apply and let us know what you’ve been up to!

Be Your Best At Snorkel

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 with a 100% match up to 5% of annual salary. 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.

Meet Snorkel AI

At Snorkel AI, we’re working to make AI practical for everyone. We’re building Snorkel Flow, our enterprise AI application development platform based on our cutting edge research on programmatic labeling.