3 days ago
Remote, United StatesSenior
Base Salary
$138k - $200k/yr
Responsibilities
- Architect end-to-end machine learning solutions from data ingestion through production consumption.
- Design and standardize data flows supporting machine learning, analytics, personalization, and real-time decisioning.
- Define scalable patterns for feature engineering, model training, experimentation, and model evaluation.
- Define MLOps patterns for model deployment, monitoring, and lifecycle management.
- Build reusable feature pipelines, model serving frameworks, and data access patterns.
- Define how machine learning and analytical outputs are exposed through APIs, batch processes, and real-time services.
- Partner with data scientists and engineers to productionize models, reduce experimentation-to-production friction, and drive architectural decisions.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a closely related quantitative field.
- 8+ years of experience in data, platform, or software engineering roles with exposure to machine learning or advanced analytics.
- Experience designing and delivering production-grade machine learning or advanced analytics solutions.
- Strong background in data architecture and data movement across distributed systems.
- Deep understanding of feature engineering, model training, experimentation, evaluation, and production deployment workflows.
- Experience with modern data and machine learning platforms such as AWS, Snowflake, Databricks, or similar.
- Preferred experience includes personalization or marketing activation systems, production MLOps, real-time or event-driven machine learning, and close collaboration with data scientists.
- Relevant certifications such as AWS Certified Solutions Architect, AWS Machine Learning Specialty, Snowflake SnowPro Advanced Data Engineer or Data Scientist, Databricks Machine Learning Professional, or Google Professional Machine Learning Engineer are preferred.
Benefits
- Medical, dental, vision, and life insurance.
- 401(k) retirement plan with company matching contributions up to 6%, potential discretionary contributions, financial advisory services, and investment options.
- Tuition reimbursement up to $5,250 per year.
- Business-casual environment with the option to wear jeans.
- Generous paid time off upon hire, including paid company holidays and floating holidays.
- 16 hours of paid volunteer time per calendar year.
- Paid parental leave, paid short- and long-term disability, and Family and Medical Leave programs.
- Business Resource Groups supporting inclusion and collaboration.
- Flexible work environment; remote and hybrid employees must provide reliable high-speed wired internet and an appropriate home workspace, and may be required to work in the office if requirements are not met.
Tech Stack
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