Senior Machine Learning Engineer
New
Based in the United StatesFull-TimeSenior
SalaryUp to 197,200 USD per year
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Job Details
- Experience
- 8+ years of experience
- Required Skills
- PythonSQLMachine LearningSnowflakeA/B testing
Requirements
- 8+ years of experience in machine learning, data science, or quantitative engineering roles
- Expert-level proficiency in Python for ML model development and data manipulation
- Strong experience with SQL and data warehousing environments such as Snowflake
- Deep understanding of recommendation systems, ranking models, and personalization techniques
- Experience with causal inference, experimentation design, and statistical modeling
- Familiarity with embeddings, vector search, and semantic similarity techniques
- Experience deploying ML models into production and working with modern data stacks (e.g., dbt, Git, cloud infrastructure)
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
- Experience working in fast-paced, high-growth environments
- Proven ability to lead projects independently and mentor other engineers or data scientists
Responsibilities
- Design and improve recommendation, ranking, and search systems to enhance product discovery and user engagement
- Develop and deploy ML models for personalization, inventory valuation, classification, and demand forecasting
- Build and maintain scalable data models and pipelines using Snowflake and Python-based workflows
- Own experimentation frameworks, including A/B testing, KPI definition, and performance evaluation of ML systems
- Deploy models into production environments and ensure reliability, observability, and version control best practices
- Collaborate with Product, Engineering, Design, and Marketing teams to translate business needs into data-driven solutions
- Develop advanced analytics capabilities such as embeddings, user-to-item mapping, and fraud detection signals
- Continuously improve model performance through iteration, monitoring, and optimization of data and features
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