[Hiring] Senior Machine Learning Engineer @GOAT Group

Role Description

Grailed is looking for a Senior Machine Learning Engineer to drive personalization, recommendation, and product marketplace improvement efforts. This is a high-impact role for an experienced builder who thrives in a lean, high-talent environment. You will join a high-velocity team with significant autonomy in taking products from zero to one.

The ideal candidate is able to think like a Grailed user as well as a business owner – understanding how data impacts a fashion-forward user experience and also how it is generated and leveraged – while bringing a strong technical background to the role. Specifically, the role requires an understanding of dimension reduction techniques, predictive modeling (statistical or ML), and other advanced analytic methods for applications such as personalization, inventory valuation and search optimization.

This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross-functionally to develop compelling data products to support buyers’ progression through the purchase cycle.

In this role, you will:

• Act as a technical lead within the data team to advance our recommendation & search algorithms, focusing on improving the relevance & quality of inventory impressions served to prospective buyers.
• Develop proprietary AI/ML solutions that reflect our unique marketplace dynamics.
• Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems.
• Identify business problems that could benefit from data solutions and take ideas through all phases, from proposal to alignment to execution.
• Establish best practices for training, development, and maintenance of data models, including A/B testing and communicating results to stakeholders.
• Own the deployment of trained models into production in collaboration with Data or ML Engineers.
• Mine user data to identify opportunities for personalization improvements, defining and tracking KPIs related to personalization effectiveness.
• Develop and maintain data models in Snowflake to support analytical and reporting needs.
• Use Python to create ML models and structure the resulting data into a consumable flow.
• Develop user-to-user mapping capabilities to enhance personalization.
• Utilize search technologies to enhance product discovery and personalization.
• Analyze message content to detect potentially fraudulent activities.
• Collaborate with product managers, engineers, designers, and business stakeholders to understand their data needs and provide data-driven solutions.

Qualifications

• Graduate degree in data science, analytics, mathematics, machine learning, computer science, or related field a plus.
• Demonstrated track record of applying analytical skills in a product or business setting may substitute for formal advanced education.
• 8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth or fast-paced organization.
• Experience in marketplace, e-commerce, or fashion/retail domains preferred.
• Experience with web + App product environment preferred.
• Experience with Marketing analytics a bonus.
• Demonstrated success in non-technical, cross-functional partner communication.
• Ability to tell a story with data, explaining complex concepts or results to audiences ranging from C-suite to IC levels.
• History of mentoring or developing teammates.
• Ongoing learning (e.g. relevant certifications; open-source contributions; personal projects; etc.) is a plus and shows initiative.

Requirements

• Expert level grasp on SQL, Python and complex mathematical concepts related to recommendation and personalization engines.
• Proven expertise in advanced statistical modeling, causal inference, experiment/test design, and working knowledge of machine learning algorithms.
• Expert level proficiency in Python for data manipulation, statistical analysis, and model development.
• Practical experience with vector databases and embeddings for tasks like user-to-user or user-to-item mapping, semantic search, or item similarity preferred.
• Experience with Snowflake for SQL and data-warehousing preferred.
• Experience with DBT for building modular, version-controlled data transformations preferred.
• Experience with Git for collaborative code development and review preferred.
• Experience in designing, developing, deploying and optimizing Personalization and Recommendation products at scale.
• Experience building models to assess item/listing quality and use NLP on unstructured text.
• Experience modeling time-series forecasts for market trends, seasonality, demand prediction and other relevant KPIs.

Benefits

• 401K
• Paid time off
• Dental, medical, vision insurance
• Disability and life insurance options

Company Description

GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries.

GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become one of the leading and most trusted sneaker platforms in the world.

Established in New York City over 15 years ago, Flight Club revolutionized sneaker retail as the original consignment store for rare shoes.

Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion.

The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital.