Senior Machine Learning Engineer - Fraud and Risk

Job Description

Bolt is on a mission to democratize commerce. We relentlessly prioritize our retailers—putting their brands front and center while enabling frictionless shopping at any touchpoint in the customer journey. At the center of it all is our rapidly growing universal shopper network—Bolt merchants such as Deckers, Saks OFF 5TH, Revolve, and Casper can access tens of millions of shoppers, offering them a best-in-class checkout.
And revolutionizing ecommerce is only half of the equation—we’re also transforming the way we work. At Bolt, we have created a work environment where people learn to drive impact, take risks and make big bets, and grow from feedback, all while feeling welcomed and accepted for who they are. Come join us on the adventure today!
The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the machine models for risk, fraud, recommendation, and personalization that powers Bolt. This should be someone with experience, creativity, and passion for producing world-class technology. Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
What you will be doing:

Build production ready machine learning models; your models will be the engine that powers online commerce through Bolt
Establish reusable frameworks to streamline model building, deployment and monitoring, incorporating comprehensive monitoring, logging, tracing, and alerting mechanisms
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
Collaborate with Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact
Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business

What would set you up for success:

Minimum of three years’ post-secondary education or relevant work experience, along with minimum of two years’ software development experience with Python and SQL
Minimum of two years’ experience using PyTorch, Tensorflow, Spark ML for building pipelines to deploy NLP and deep learning models into production in a cloud (AWS, GCP, Azure) environment
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
Familiarity with best practices of lifecycle management for ML models in industry

What would set you apart:

Retail and/or Martech experience in building large-scale personalization and recommendation systems in a consumer-based setting.
Experience with big data tools like Spark, Kafka, BigQuery, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda; a Linux environment
Industry experience in building large-scale recommendation systems in a consumer-based setting.

Estimated cash compensation: $180k-240k plus equity DOE
Benefits:

Comprehensive health coverage: Medical, dental and vision
Remote-first workplace
Time away: Flexible PTO, paid holidays + floating holidays, your birthday off!
Paid parental leave
Competitive Pay
Retirement plans
Virtual and in-person team & company events

In addition to our core values, Bolt is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and expression, genetic information, pregnancy and related conditions, veteran status or any other reason prohibited by law. On our mission to democratize commerce, the Bolt platform levels the playing field for everyone. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve (that is, everyone).