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Senior Machine Learning Engineer - $68M raised this week

Job Title: Senior Machine Learning Engineer - $68M raised this week
Contract Type: Permanent
Location: San Francisco
Industry:
Salary: Circa $250,000 package (depending on experience)
REF: DS:039058
Contact Name: Rebaz Has
Contact Email: Rebaz@intelletec.com
Job Published: 6 days ago

Job Description

Senior Machine Learning Engineer - Bay Area

  • Intelletec has teamed up with the propriety Amazon like end-to-end online payment platform that stops 100% of fraud
  • Founded by Stanford, MIT grads, Twitter Employee #13, ex-Facebook, Google, Apple, and PayPal Engineers.
  • Investors include Founders of AngelList, Splunk,TechCrunch, CrunchFund, StubHub
  • Just announced another $68M Series B raise 24 hours ago ($90M+ total)

 
What You’ll Do:

  • Built production fraud models: your models will be the engine that powers all online commerce
  • Research and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and website
  • Conduct data analysis to determine which policies we adopt and help inform strategic growth
  • Build machine learning infrastructure, data pipelines, and production-ready services to serve live traffic
  • Work with the Risk team to engineer new features for models or new product features that help improve conversion rates for businesses using Bolt and decrease fraud losses
  • Integrate the modeling service to other services (e.g. make api call risk models, store results, use the decision)
  • Integrate the model prediction into core workflows

 
What you need to succeed:

  • Bachelor's or Master's degree in Computer Science, Statistics, Engineering or related field
  • Experience building production quality machine learning models and working with large scale datasets
  • Software Engineering background in a team-oriented software development environment
  • 5+ years of machine learning experience
  • Profound understanding of fraud detection, e-commerce payments, and the competitive ecosystem. 
  • Strong experience in TensorFlow, Python and SQL; experience with data analysis and statistics
  • Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies a plus


VERY Competitive base and real equity.