Salary
💰 $220,000 - $250,000 per year
Tech Stack
AirflowAWSPythonSQL
About the role
- Build, train, and deploy large-scale machine learning models for real-time content ranking in production
- Design and engineer feature pipelines that capture complex user and content signals
- Partner with product and engineering to translate business objectives into ML models that drive measurable outcomes
- Lead rigorous A/B testing and experiment design, ensuring sound statistical inference and actionable insights
- Drive innovation by ideating and prototyping new modeling techniques and features
- Collaborate with the data engineering team to scale data pipelines with Airflow, DBT, and AWS SageMaker
- Provide technical leadership and mentorship to other data scientists and engineers
- Balance trade-offs between rule-based systems and machine-learned approaches, aligning with both product goals and user experience
Requirements
- 8+ years of professional experience in applied machine learning or data science, with 3+ years in consumer-scale applications
- Strong proficiency in Python and SQL
- Experience with SageMaker, Airflow, and DBT (or equivalent ML/data orchestration platforms)
- Proven track record of training, deploying, and scaling models in production environments
- Deep understanding of statistical methods for experimental design and A/B testing
- Experience with real-time inference pipelines and ranking/recommendation systems
- Ability to distill complex technical insights into clear business recommendations
- Excellent collaboration skills across product, engineering, and operations
- Flexible Time Off
- Comprehensive Health Insurance Plans, including HSA and FSA Options
- 401K Retirement Savings Plan with Generous Employer Match
- Generous Parental Leave
- Work-from-home stipend
- Access to Corporate Discount Program
- Pet Insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningPythonSQLstatistical methodsA/B testingreal-time inference pipelinesranking systemsrecommendation systemsmodel trainingmodel deployment
Soft skills
collaborationtechnical leadershipmentorshipcommunicationinnovationproblem-solvingbusiness acumenanalytical thinkingadaptabilitycreativity