Machine Learning Engineer, StockX
Search & Recommendations
$120-140k
+ Equity + Bonus
Streetwear marketplace
Job no longer available
Streetwear marketplace
1001+ employees
Job no longer available
$120-140k
+ Equity + Bonus
1001+ employees
Company mission
To provide access to the world's most coveted items in the smartest way possible.
Role
Who you are
- 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
- You have relentlessly high standards for the products you deliver
- 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
- Experience with Kubernetes and Docker for productionalizing models
- 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
What the job involves
- 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
- Conduct A/B experiments to validate ML models and pipelines
- 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
Our take
StockX pairs buyers with sellers and verifies products through its live bid-and-ask structure, funding itself by charging a transaction fee on each sale. In return it verifies each item sold on the platform for authenticity and condition, setting it aside from competitors in this space such as TheRealReal.
The company is now hoping to further distinguish itself by working directly with brands to release products through the platform, with a vision to letting its customers set the price for goods in the same way investors do for shares in the stock exchange.
Despite issues including allegations of counterfeiting from Nike and a general slowdown in the resale goods market over 2022, StockX has continued its rapid growth, doubling the number of buyers on its network to 12 million. While a global economic slowdown has caused it to give up on plans for an IPO in the near term, StockX is nonetheless planning to expand its product line and expand internationally in the near future.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2021
$60m
SERIES E
Dec 2020
$275m
SERIES E
Total funding: $495m
Company benefits
- We promote the physical and emotional health of our team members and their families. We offer generous health benefits packages to keep our team members happy and healthy
- Rest and recharge when you need it the most: In addition to a full holiday schedule, we offer generous paid time off for our team members
- Be present with your new family member: Through our parental leave benefit, new parents receive paid time off
- Invest in your future. Many of our team members can take part in our pension or 401k programs
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company HQ
Downtown Detroit, Detroit, MI
Leadership
Greg Schwartz
(Co-Founder & CEO)Worked at Deutsche Bank before founding Upto, a calendar software startup where he acted as CEO prior to founding StockX
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