Sprig has pioneered a new approach to product research that helps companies learn from their customers in real-time and deliver award-winning product experiences. Companies like Dropbox, Square, Opendoor, Loom and Shift all use Sprig to understand their customers at the pace of modern software development, so they can build customer-centric products that deliver a sustainable competitive advantage.

Today, we're growing fast and ready for new team members who are passionate about surprising and delighting our own customers.

Sprig is based in San Francisco, CA with offices around the U.S. The company has raised $60M led by Andreessen Horowitz, Accel, and First Round Capital, and have recently been featured in articles by TechCrunch, Crunchbase, and Business Insider.

This is your chance to join a startup in one of the most exciting phases, where you can help shape the direction of the company and play a vital part in our growth. We’re looking for an experienced Senior Machine Learning Engineer who will work closely with the Head of AI to develop our key machine learning applications.

More about our mission, values, and why it's a great time to join us here.

About the Role:

• Greenfield technology: Because we are defining a new category, you will have autonomy to drive completely new data science projects centered around how to extract valuable signal from inbound data.
• Top-tier experience: We utilize state-of-the-art technologies, including the latest deep neural networks, to power the machine learning services that are critical to the company's ability to scale.
• Scale: We currently track over 1B visitors, and this will grow by orders of magnitude in the coming years. You'll be responsible for building ML applications which analyze responses from these visitors.
• End-to-end ownership: You will research, design, build, and deploy the data science applications that power Sprig.
• Contribution: We are a tight-knit, low-ego, and highly technical team. You'll work directly with the Head of AI and the engineering team.
• Growth: You will add to your repertoire of ML knowledge, expand your engineering skillset, and grow as a leader as you become a mentor to new team members.

About You:

• At least 4 years experience researching, building, and deploying production-quality machine learning services.
• Strong background in statistics, mathematics, and computer science, and the desire to use these skills every day.
• Experience using modern ML and deep learning frameworks, particularly those related to NLP. We use Tensorflow and Pytorch extensively, and deploy our systems in the AWS cloud.
• Desire and ability to build complex data science workflows and deploy them as production-quality applications. We have challenging problems which require unique solutions that go well beyond vanilla ML.
• Strong proficiency with SQL as well as with a programming language. Existing ML is built in Python, the rest of the backend is Node.js.
• B.S., M.S., or Ph.D. in Engineering, Computer Science, Statistics, Physics, or relevant technical field.

Benefits & Perks:

• Competitive compensation and equity package 
• Free base medical, dental, and vision insurance plus free membership to One Medical
• 401k program
• 21 PTO days per calendar year + sick days when you need it
• Annual professional learning and development budget
• Work from home equipment stipend
• Flexible in-office policy when we return
• Quarterly socials and recharge days
• Autonomy to make decisions in a rapidly growing environment

At Sprig, we don’t just accept difference—we celebrate it, we support it, and want you to bring your whole self to work. Sprig is proud to be an equal opportunity workplace. We believe that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.