Machine Learning Engineer
San Francisco, CA
Managed by Jobot Pro
$150,000 - $225,000
A bit about us:
Founded in 2016, We are on a mission to determine the net worth of everyone on the planet. More than 400 organizations use us to identify and engage their most promising constituents. Based in San Francisco and backed by Bullpen Capital, Bonfire Ventures, Industry Ventures, TenOneTen Ventures. ValueStream Ventures, and Auren Hoffman.
Data Science is at the core of the company DNA. Our mission is to make accurate data accessible to brands across the world.
As a member of the data science team, the data scientist will work on groundbreaking R&D projects to leverage massive structured, unstructured, transactional and real-time data sets from a variety of sources.
Are you ready to drive and scale data science in a hyper-growth environment?
Why join us?
- Small team = opportunity for a big impact
- Compensation includes equity and a competitive salary
- Excellent company-sponsored benefits
- Shiny new laptop
- Monthly team events
- Fully stocked kitchen
- Great location in downtown SF (Jackson Square)
Propose and implement a scalable ML modeling workflow for standardized use by our data scientists
Enhance and improve existing model infrastructure to support the growing demands of the data science organization
Develop internal tools to enable seamless configuration, fitting, and quality assurance of various classes of machine learning models
Collaborate closely with data science, engineering, and product to ensure infrastructure meets the needs of internal and external stakeholders
Advanced degree in a quantitative discipline or compensating work experience
5 or more years of machine learning engineering experience, including working with data scientists, constructing machine learning models and developing production-level code
Knowledge of various machine learning model structures, model performance metrics, and data visualizations for QA, including underlying mechanisms and use cases/tradeoffs
Expert knowledge of Python & SQL
Experience in Kubernetes, Airflow, Spark, Dataflow, and Postgres is a plus
Demonstrated experience with cloud computing, git, and software architecture
Collaborative, team-focused attitude with a strong desire to advance the product and learn new things
Self-starter with experience turning ambiguous ideas into actionable designs
Excellent written and verbal communication
Eligible to work within the United States