[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. GOAT Group is a leading platform for authentic sneakers, apparel, and accessories, and they are seeking a Senior Machine Learning Engineer to enhance their personalization and recommendation systems. This role involves driving product marketplace improvements through advanced data methods and collaboration across departments to develop impactful data products.ResponsibilitiesAct as a technical lead within the data team to advance our recommendation & search algorithms. You will focus on improving the relevance & quality of inventory impressions that are served to prospective buyersDevelop proprietary AI/ML solutions that reflect our unique marketplace dynamics (peer-to-peer exchange of second hand clothing & accessories that are represented as “one-of-one” listings in the market.)Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problemsBe able to autonomously and proactively identify business problems that could benefit from data solutions, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to executionEstablish best practices for training, development and maintenance of data models. This includes using A/B testing and communicating results to stakeholdersOwn the deployment of trained models into production in collaboration with Data or ML Engineers. You will be responsible for ensuring reliable, observable deployment into Snowflake using DBT, integrating with existing data pipelines and platform infrastructure, and maintaining version control of code and configurations via GitMine user data to identify opportunities for personalization improvements. This includes defining and tracking KPIs related to personalization effectivenessDevelop and maintain data models in Snowflake to support analytical and reporting needs, providing insights to business stakeholders across various departmentsUse Python to create ML models and structure the resulting data into a consumable flowDevelop user-to-user mapping capabilities to enhance personalizationUtilize search technologies (i.e. Algolia, AWS OpenSearch) to enhance product discovery and personalizationAnalyze message content to detect potentially fraudulent activities, such as identifying keywords or phrases associated with scams, requests for off-platform transactions, or attempts to phish for personal informationCollaborate with product managers, engineers, designers, and business stakeholders to understand their data needs and provide data-driven solutionsSkillsGraduate degree in data science, analytics, mathematics, machine learning, computer science, or related field a plusDemonstrated track record of applying analytical skills in a product or business setting may substitute for formal advanced education8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth or faced paced organizationExperience in marketplace, e-commerce, or fashion/retail domains preferredExperience with web + App product environment preferredExperience with Marketing analytics a bonusDemonstrated success in nontechnical, crossfunctional partner communicationAbility to tell a story with data, explaining complex concepts or results to audiences ranging from C-suite to IC levelsHistory of mentoring or developing teammatesOngoing learning (e.g. relevant certifications; open-source contributions; personal projects; etc.) is a plus and shows initiativeExpert level grasps on SQL, Python and complex mathematical concepts related to recommendation and personalization enginesProven expertise in advanced statistical modeling, causal inference, experiment/test design, and working knowledge of machine learning algorithmsExpert level proficiency in Python for data manipulation, statistical analysis, and model developmentExperience in designing, developing, deploying and optimizing Personalization and Recommendation products at scaleExperience building models to assess item/listing quality (as defined by likelihood of sales), classify listings, and use NLP on unstructured textExperience modeling time-series forecasts for market trends, seasonality, demand prediction and other relevant KPIsExperience in marketplace, e-commerce, or fashion/retail domains preferredExperience with web + App product environment preferredExperience with Marketing analytics a bonusPractical experience with vector databases and embeddings for tasks like user-to-user or user-to-item mapping, semantic search, or item similarity preferredExperience with Snowflake for SQL and data-warehousing preferredExperience with DBT for building modular, version-controlled data transformations preferredExperience with Git for collaborative code development and review preferredBenefits401KPaid time offDentalMedicalVisionDisabilityLife insurance optionsCompany OverviewGoat Group is a marketplace for authentic sneakers, apparel, and accessories. It was founded in 2011, and is headquartered in Culver City, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.goatgroup.com.Company H1B SponsorshipGOAT Group has a track record of offering H1B sponsorships, with 10 in 2025, 2 in 2024, 13 in 2023, 11 in 2022, 9 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.