The Team

As an ML Platform engineer on the Inference team, you’ll be responsible for building a MLOps platform for model deployment, integration with our decisioning system, and monitoring, in addition to supporting fast-paced online experiments by our research scientists. Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re able to innovate on our AI engine quickly.

Position Location - This role is available in the following locations: Remote, San Mateo, Columbus. Austin

Time Zone Requirements - This team operates across all U.S. time zones

Travel Requirements - This team has regular on-site collaboration sessions. These occur 3-5 days per Quarter at one of our office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

• Build, maintain, and monitor high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
• Develop the scaffolding that allows research scientists to integrate models into production services and expose APIs to allow other software services to leverage them
• Enable rapid experimentation and feedback loops in our model serving code so that we can continuously improve our models
• Work with data engineers, devops engineers, and research scientists to ensure that model training and deployment is a repeatable process that relies heavily on robots (not humans)

What we’re looking for: 

• Minimum requirements:
  • 5+ years of software engineering experience
  • Experience building and maintaining backend software services and APIs
  • Experience with some or many of the following: Python (flask / fastAPI), Kotlin (or another JVM language), interactive notebooks (Jupyter / Sagemaker), Apache Spark, gRPC, Apache Kafka, and AWS
  • Good understanding of software development principles and best practices for creating scalable and maintainable systems
• Preferred qualifications:
  • Familiarity with containers (Docker, etc.), continuous integration and deployment (CI/CD), and kubernetes
  • Excellent quantitative reasoning skills with interest in working at the intersection of engineering and machine learning
  • Strong sense of ownership and accountability for the quality and timely delivery of work.
  • Proven ability to effectively analyze and solve complex problems
  • Excellent written and verbal communication skills with stakeholders, peers, product owners
  • Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamics

What you'll love: 

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
• 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
• Employee Stock Purchase Plan (ESPP)
• Life and disability insurance
• Generous holiday, vacation, sick and safety leave  
• Supportive parental, family care, and military leave programs
• Annual wellness, technology & ergonomic reimbursement programs
• Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
• Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

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