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Senior Software Engineer

StockXOnsite

Help empower our global customers to connect to culture through their passions.


AI/ML @ StockX:


Our AI/ML Team is on a mission to build the next-generation e-commerce platform for the next generation customer. We build world-class, innovative experiences and products that give our users access to the world’s most coveted products and unlock economic opportunity by turning reselling into a business for anyone. Our team uses cutting edge technologies that handle massive scale globally. We’re an internet-native, cloud-native company from day 1 - you won’t find legacy technology here. If you’re a curious leader who loves solving problems, wearing multiple hats, and learning new things, join us!

Job Description


In the Search & Recommendation ML team, we work together to productionalize custom machine-learning models that can drive product vision and customer impact at scale. We are looking for a Sr Software Engineer who is sophisticated in large-scale search systems. This member will be responsible for the health of the Search Backend system and working with other ML engineers for productionizing ML innovations in the Search Domains. If you’re passionate about search performance, ranking pipelines, and search index maintenance, this role is for you.

What You’ll Do:


  • Design and maintain the infrastructure behind our core search stack.
  • Build scalable, fault-tolerant indexing pipelines for real-time and batch data ingestion.
  • Partner with ML engineers and relevance teams to support offline/online ranking experimentation.
  • Optimize search latency, throughput, and uptime using observability tooling and performance profiling.
  • Collaborate with product and data teams to understand query patterns and evolve system design accordingly.
  • Drive migration to more modern indexing and vector search frameworks.
  • Implement safeguards and autoscaling policies to ensure SLAs under traffic spikes and failovers.

Qualifications


Basic requirements:

  • 6+ years of experience building scalable backend systems; ideally in search, recommendation, or large-scale data retrieval.
  • Strong experience with search engines
  • Solid grasp of distributed systems (e.g., Kafka, Kubernetes, microservices architecture).
  • Proficiency in Go and Python.
  • Comfort with performance tuning and profiling low-latency systems.
  • Experience deploying and operating production systems in cloud environments (AWS, GCP, Azure).
  • Familiarity with Databricks, Unity Catalog, or Lakehouse architecture is highly desirable.
  • Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.

Preferred requirements:

  • Familiarity with MLOps, vector databases (e.g., Faiss, Milvus, Weaviate), or ANN algorithms.

  • Experience with Kubernetes and Docker for productionalizing models.
  • Experience in building machine learning systems at scale.
  • Experience in using AWS Cloud Platform, Databricks and/or OpenSearch or Elastic Search
  • Experience in LLM serving / Open AI or equivalent / Langchain / Agents / RAG Apps

About StockX


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. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. 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; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
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. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.

StockX reserves the right to amend this job description at any time.

Life at StockX

Come change the game. We?re a live marketplace for buying and selling limited edition sneakers, watches, handbags, and streetwear. From Yeezy to Louis Vuitton to Rolex to Supreme, StockX has you covered, giving you unprecedented access to the ?new luxury? economy. Our company values are broken down into what we call the Four T?s: Trucks. Trenches. Transparency. Transformation. They stand for making deadlines, being a team player, over-communicating everything, and turning everyone we work with into die-hard StockX fans. Each is a foundational tenet of not just our business, but the entire StockX culture. And as such they are an embodiment of what has made StockX one of the fastest growing startups in the country. Working at StockX today is like if you worked at Nike in 1964. It'd have been Phil Knight, Bill Bowerman, you and some waffle irons. And together you were about to change the world. We don't have waffle irons, but you can bring your own if you want.
Thrive Here & What We Value1. Startup culture where ambiguity inspires creativity2. Hypergrowth company expanding globally3. Equal opportunity employer that values diversity4. Customer-centric culture focused on serving customers as core5. Emphasis on teamwork and collaboration across different areas of the business6. Focus on three areas: customer, team member, and company7. Empowering global customers to connect to culture through their passions8. FastPaced and High-Growth Environment9. Dynamic Pricing Mechanics10. Access and Market Visibility Powered by RealTime Data

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