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Senior Machine Learning Engineer
Risk, Recommendations, Ranking, And Personalization
Posted on 3/16/2023
Experience Level
Desired Skills
Apache Spark
Data Analysis
Apache Beam
  • Degree in Computer Science, Computer Engineering, or related field
  • 2+ years of experience building machine learning models for risk, fraud, recommendation, or similar applications
  • Thorough understanding of machine learning fundamentals and methodologies
  • Experience building and deploying machine learning models in an applied setting
  • Strong understanding of how to build scalable ML systems supporting online and offline applications
  • Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML
  • Familiarity with best practices of lifecycle management for ML models in industry
  • Mastery of a programming language such as Python, Java, Scala
  • PhD in computer science or related field
  • Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc
  • Industry experience in building large-scale recommendation systems in a consumer-based setting
  • Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt
  • 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 other teams at Bolt to engineer new features for models or new product features that help improve Bolt business

501-1,000 employees

Checkout experience platform
Company Overview
Bolt’s mission is to democratize commerce by setting a new standard for buying and selling online. The company has created something unique with their checkout experience platform that levels the playing field to help retailers of all sizes sell more, grow faster, and be in control of their own destiny.
  • Comprehensive health coverage: Medical, dental & vision
  • Remote-first workplace
  • 4 day work weeks
  • Time away: Flexible PTO, paid holidays + floating holidays and your birthday off
  • Equity Early Exercise Program
  • Paid parental leave
  • Phone, Utilities, and Wellness stipends
  • Competitive Pay
  • Retirement plans
  • Virtual and in-person team & company events
Company Core Values
  • Win-Win Partnerships
  • Writing > Talking
  • Live Curiously
  • Founder Mentality
  • United + Unique
  • Be 20% Wrong, Chase 10X