drjobs Senior Machine Learning Engineer

Senior Machine Learning Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 nextgeneration ecommerce platform for the next generation customer. We build worldclass innovative experiences and products that give our users access to the worlds 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. Were an internetnative cloudnative company from day 1 you wont find legacy technology here. If youre a curious leader who loves solving problems wearing multiple hats and learning new things join us!

Job Description

In the Search & Recommendation team we work together to productionalize custom machinelearning models that can drive product vision and customer impact at scale. We are looking for MLE who are product driven and are passionate about making ML innovations in areas such as; Ranking Optimization Natural Language Processing Information Retrieval Graph Learning Reinforcement Learning to help improve the StockX buyer/seller experience!

About the Role

Example Projects:

  • Develop embeddings to collect salient signals of our customers product and user interactions.
  • Extract realtime signals and multimodality 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.
  • Build a realtime insession personalization recommendation system.
  • Implement and compare supervised learning models (i.e LR GBDT and DNNs) or ensembles of models to improve metrics often with multiple contending objectives (i.e relevance degree of personalization average value of orders repeated frequencies/purchases).
  • Develop models with custom architecture or objective functions that target StockXspecific problems such as recommendation system personalized search revenue optimization seller fairness seasonality etc.
  • Develop brandnew learning frameworks for query suggestions to understand buyer experience.

What Youll Do:

  • Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX.
  • Prototype optimize and productionize largescale 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 fullstack engineers and designers on product teams to deliver content to tens of millions of users.

Qualifications

Basic requirements:

  • Experience with objectoriented 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

Preferred requirements:

  • You have a postgraduate degree in Computer Science or related engineering fields plus 3 machine learning experience or 5 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 Databricks and/or OpenSearch.
  • You have experience in building production search recommendations advertising or general ecommerce systems.
About StockX

StockX is proud to be a Detroitbased technology leader focused on the large and growing online market for sneakers apparel accessories electronics collectibles trading cards and more. StockXs powerful platform connects buyers and sellers of highdemand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by realtime 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 OffWhite Louis Vuitton Gucci; collectibles from brands including LEGO KAWS Bearbrick and Pop Mart; and electronics from industryleading manufacturers Sony Microsoft Meta and Apple. Launched in 2016 StockX employs 1000 people across offices and verification centers around the world. Learn more at www.stockx.
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.

Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.