Staff Machine Learning Engineer

Join Grailed, a leading online marketplace for men's fashion. As a Senior Machine Learning Engineer, you will drive personalization, recommendation, and product marketplace improvement efforts. You will work cross-functionally with Data, Product, Engineering, and Marketing teams to develop compelling data products that support buyers' progression through the purchase cycle. You will also act as a technical lead within the data team, develop proprietary AI/ML solutions, and establish best practices for training, development, and maintenance of data models.

• Conduire les efforts de personnalisation, de recommandation et d'amélioration du marché des produits en développant des modèles et des solutions d'IA/ML.
• Agir en tant que leader technique au sein de l'équipe de données pour faire progresser nos algorithmes de recommandation et de recherche, en se concentrant sur l'amélioration de la pertinence et de la qualité des impressions d'inventaire.
• Collaborer avec les chefs de produit, les ingénieurs, les designers et les parties prenantes commerciales pour comprendre leurs besoins en matière de données et fournir des solutions basées sur les données.
• Math and Statistics
• Experience with DBT for building modular, version-controlled data transformations preferred
• Experience in marketplace, e-commerce, or fashion/retail domains preferred
• Demonstrated track record of applying analytical skills in a product or business setting may substitute for formal advanced education
• History of mentoring or developing teammates
• Experience with Snowflake for SQL and data-warehousing preferred
• Machine Learning and AI
• Experience in designing, developing, deploying and optimizing Personalization and Recommendation products at scale
• Expert level proficiency in Python for data manipulation, statistical analysis, and model development
• Technical Competencies
• Experience with web + App product environment preferred
• Specific tools are less a requirement in this role than an ability to communicate with stakeholders, understand complex, industry-specific problems, maintain a high, self-motivated velocity and bias for action, and have a desire to contribute to problems big and small. That being said, we expect candidates to have Expert level grasps on SQL, Python and complex mathematical concepts related to recommendation and personalization engines, and bring an ability to effectively use coding agents to build and iterate. Our Data stack additionally contains Looker, Amplitude, DBT, Fivetran and AWS Lambdas, experience in these areas is a plus
• Experience modeling time-series forecasts for market trends, seasonality, demand prediction and other relevant KPIs
• Experience with Git for collaborative code development and review preferred
• Ongoing learning (e.g. relevant certifications; open-source contributions; personal projects; etc.) is a plus and shows initiative
• Ability to tell a story with data, explaining complex concepts or results to audiences ranging from C-suite to IC levels
• Practical experience with vector databases and embeddings for tasks like user-to-user or user-to-item mapping, semantic search, or item similarity preferred
• Demonstrated success in nontechnical, crossfunctional partner communication
• 8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth or faced paced organization
• Data Science and Engineering
• Experience with Marketing analytics a bonus
• Experience building models to assess item/listing quality (as defined by likelihood of sales), classify listings, and use NLP on unstructured text
• Graduate degree in data science, analytics, mathematics, machine learning, computer science, or related field a plus
• Proven expertise in advanced statistical modeling, causal inference, experiment/test design, and working knowledge of machine learning algorithms