Senior Machine Learning Engineer

Role overview

Senior Machine Learning Engineer (full remote) driving personalization, recommendation, and marketplace improvements for a men’s fashion online marketplace. You’ll build data products and proprietary AI/ML solutions in close partnership with Data, Product, Engineering, and Marketing, and act as a technical lead within the data team.

Key missions

• Lead efforts in personalization and recommendations to improve relevance and the quality of inventory impressions.
• Improve recommendation/search algorithms with a focus on better buyer experiences across the purchase cycle.
• Establish best practices for training, development, and maintenance of data/ML models.
• Partner with product, engineering, design, and commercial stakeholders to deliver data-driven solutions.

Responsibilities

• Design, develop, deploy, and optimize Personalization and Recommendation systems at scale.
• Develop proprietary AI/ML solutions and own technical direction for models.
• Communicate complex ideas and results effectively to both technical and business audiences.
• Mentor and develop teammates; support collaborative engineering practices.

Requirements

• 8+ years in a data/quantitative role; strong performance in a startup/high-growth/fast-paced environment.
• Expert-level Python for data manipulation, statistical analysis, and model development.
• Expert-level SQL and strong command of complex math/statistics concepts for personalization/recommendation engines.
• Ability to apply analytical skills in a product/business context.
• Track record of mentoring and developing teammates.
• Demonstrated success in cross-functional communication (nontechnical partners included).
• Proven expertise in advanced statistical modeling, causal inference, and experiment/test design, plus working knowledge of ML algorithms.

Preferred / nice to have

• DBT for modular, version-controlled data transformations.
• Snowflake experience for SQL/data warehousing.
• Experience with marketplace/e-commerce/fashion/retail domains.
• Git for collaborative development and code review.
• Experience in web/app product environments.
• Familiarity with tools in the data stack: Looker, Amplitude, DBT, Fivetran, AWS Lambda.
• Time-series forecasting for seasonality/demand/trends and KPIs.
• Experience with vector databases and embeddings (user-to-user/user-to-item, semantic search, similarity).
• Building models to assess item/listing quality (e.g., likelihood of sales), listing classification, and NLP on unstructured text.
• Marketing analytics experience.
• Graduate degree in a relevant field (data science/analytics/math/ML/CS) and/or relevant certifications/open-source contributions.

Location

• Full remote