Intelletec
Senior Machine Learning Engineer – Bay AreaIntelletec 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.Intelletec
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.Read More
