Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Target pay for Level 4 ranges from $167,000 - $229,000 in Zone 1 (San Francisco/Bay Area, NYC, Boston, Seattle), $150,000 - $206,000 in Zone 2 (Irvine, LA, etc.), and $141,000 - $195,000 in Zone 3 (all other US locations), with exact compensation varying by skills, experience, and location. Benefits include Restricted Stock Units (RSUs), health, vision, dental insurance, and mental health benefits.
The role uses geographic pay zones across US locations, including major metros in Zones 1 and 2 and all other US locations in Zone 3, suggesting remote work is possible depending on location.
Candidates need 3+ years of industry experience, a Masters or PhD in Statistics or related field (or 3+ years in online experimentation), excellent communication skills to articulate technical ideas to diverse audiences, and a bias for action with a pragmatic, iterative engineering approach.
This role is on the small but mighty Core Data Science team, responsible for core methodology in statistically-focused products like experimentation and release guardian, collaborating cross-functionally with engineering, design, and product teams.
Strong candidates have 3+ years of industry experience, a Masters/PhD in Statistics or equivalent expertise in online experimentation, excellent communication skills for technical and non-technical audiences, and a pragmatic bias for action in engineering.
Feature management platform for software developers
LaunchDarkly provides a platform for developers to manage and automate software features. Its main product is a feature management platform that allows developers to control software features, enabling safe code shipping, self-serve experimentation, personalized user experiences, and improved reliability of applications. This platform allows developers to revert feature behaviors without code changes, enhancing productivity. LaunchDarkly operates on a subscription model, charging clients for access to its services. The platform helps clients innovate quickly, automate software releases, reduce delivery costs, and maximize the impact of software features. The goal is to improve software development processes for a diverse range of clients in the DevOps market.