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Remote Machine Learning Engineer

2 months ago

United Kingdom Nomadgao Full time €120,000 - €140,000

Jan 30, 2024 - StockX is hiring a remote Machine Learning Engineer - Search & Recommendations. Salary: base salary range $120,000 to $140,000 plus benefits, equity, and discretionary bonuses.. Help empower our global customers to connect to culture through their passions.
We’re an internet-native, cloud-native company from day 1 - you won’t find legacy technology here. In the Search & Recommendation team, we work together to productionalize custom machine-learning models that can drive product vision and customer impact at scale. Ranking, Optimization, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the StockX buyer/seller experience
Example Projects:
Extract real-time signals and multi-modality data (i.e, content and image) from our 5M+ product catalog images and 1M+ listings. Understand semantic content, aesthetic style, materials for retrieval, ranking and optimization.
Develop brand-new learning frameworks for query suggestions to understand buyer experience.
Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX.
Prototype, optimize, and productionize large-scale ML models that help deliver key results in search experience.
Work closely with product managers, Data scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.
Experience with object-oriented or functional software development.
Experience working with AWS or other cloud providers.
Experience with big data platforms like Spark or Databricks.
Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet.
You have dealt with data exploration, analysis, and feature engineering.
Work effectively in an agile development process.
You have a postgraduate degree in Computer Science or related engineering fields plus 1+ machine learning experience, or 3+ years of practical machine learning experience.
You have experience in building machine learning systems at scale.
You have experience in using AWS Cloud Platform and/or OpenSearch.
You have experience in building production search, recommendations, advertising, or general e-commerce systems.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
medical, dental), equity and discretionary bonuses . Compensation is dependent on geography and may vary.
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; and electronics from industry-leading manufacturers Sony, Microsoft, Nvidia, and Apple. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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