Senior Machine Learning Engineer
Sprig has pioneered a new approach to user research. Companies like Dropbox, Square, Opendoor, Loom and Shift all use Sprig to capture research insights from their users in-context, so they can make customer-informed decisions, frictionless products, and experiences that matter.
Our user research platform enables teams to evaluate their product's user experience in-the-moment, test new product concepts, and recruit research participants from their existing user base for longer studies.
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.
More about our mission, values, and why it's a great time to join us here.
Our Commitment to Diversity and Inclusion
We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.
About this Role
We’re looking for a talented Senior Machine Learning Engineer to join our world-class team. You’ll work with other MLEs and the broader engineering team, as well as the product, design, and research organizations to help achieve our company’s mission.
Your Impact
- 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 10B visitor events and attributes, and this will grow by orders of magnitude in the coming years. You'll be responsible for building ML applications which analyze survey responses from these visitors.
- End-to-end ownership: You will research, design, build, and deploy the data science applications that power Sprig.
- 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.
Your Strengths
- 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.
- B.S., M.S., or Ph.D. in Engineering, Computer Science, Statistics, Physics, or relevant technical field.