Firebolt is a complete redesign of the cloud data warehouse for the era of cloud and data lakes. Data warehousing with extreme speed & elasticity at scale.
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
Requirements
MS in Computer Science, Computer Engineering, or related field
4+ years of experience building large scale recommendation engines, ranking, and personalization systems
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
Preferred
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.
Technical Experience
AWS Lambda for data ingestion and Kinesis Firehose to transport them into S3
Step functions and Lambdas to coordinate workflows
AWS Redshift as the data warehouse + Spark on EMR for doing ETL
Terraform for maintaining infra
Jenkins & CircleCI for build pipelines
Postgres RDS is our application database
Our code base is primarily in Golang & Typescript. However, our data bits are mostly in Python.
Check out our Engineering Blog!
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