New YorkFull TimeEngineering
Remotely
gopythonmachine learningjavareinforcement learningmlflowbayesian methods
Job Description
📋 Description
- Drive end-to-end ML initiatives from concept to product
- Build and maintain ML systems powering Haus (cMMM)
- Collaborate with product, science, and engineering teams
- Lead AI workflows for ML pipelines and model validation
- Mentor ML engineers and raise the ML bar
🎯 Requirements
- PhD or equivalent in CS/Engineering/Math or related
- 10+ years building and operating production ML systems
- Experience with EDA, statistical modeling, experiments
- Cross-functional collaboration experience
- Proficiency in Python, Go, Java, or C++
🎁 Benefits
- Flexible PTO and equity
- Top health, dental, vision plans
- WFH stipend and offsites
- Office lunches in SF/NYC/Seattle
- New parent leave