Machine Learning Engineer
UnifyID (acquired by Prove)almost 7 years ago
Responsibilities
- Build and deploy machine learning solutions into production.
- Collaborate with machine learning researchers to turn core research into production systems.
- Experiment on petabyte-scale datasets and address real-world customer problems.
- Build a human identity platform using real-time mobile sensor data while supporting privacy-preserving authentication.
- Take ownership across multiple technical areas in a dynamic startup environment and collaborate closely with teammates.
Requirements
- At least 5 years of software industry experience.
- A record of shipping and maintaining major software products for customers.
- Excellent coding skills in an object-oriented language such as Go, Python, Rust, Java, C++, or Ruby.
- Experience working with high volumes of data, ideally where machine learning is critical.
- Strong foundational knowledge of mathematics, preferably related to machine learning or signal processing.
- Broad technical skills, strong learning ability, and the judgment to select appropriate tools.
- Strong collaboration and communication skills.
- Professional experience with AWS or Kubernetes is a bonus.
- Knowledge of cybersecurity, signal processing, or time-series data is a bonus.
Benefits
- The role is based in downtown Redwood City in Silicon Valley.
- The position offers exposure to entrepreneurial expertise, academic research institutions, and venture capital resources.
- Prove is an equal opportunity employer.
Categories
About UnifyID (acquired by Prove)
UnifyID builds implicit authentication technology that uses behavioral patterns and device-derived signals, scored by machine learning, to verify users without passwords. It sold SDKs and APIs to enterprises for login, step-up authentication, and fraud reduction; UnifyID was founded in 2015 and is headquartered in Redwood City, California. The company was acquired by Prove, where its capabilities power parts of Prove’s identity and authentication platform.