Senior ML Platform Engineer (MLOps) – Remote

Aimlroles

Northern (KY)

Hybrid

USD 167,000 - 230,000

Full time

14 days+
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Benefits offered by this job

401(k) / Retirement benefits
Equity program
Health coverage (medical, dental, etc)

Job summary

Upstart, a digital-first AI lending platform, seeks a Senior Software Engineer for the ML and Simulations Platform. You will build an MLOps platform to support model inference, automation, deployment, and observability, and help create a marketplace simulation platform enabling rapid ML and finance experimentation.

You will mentor engineers, partner with ML, Engineering, Product, and Data teams, and work in a flexible, remote-friendly environment across the U.S., with in-person onsites as needed.

Qualifications

  • 6+ years of software engineering experience.
  • Experience building backend services and APIs.
  • Experience with distributed systems or large-scale data processing (Spark, Databricks, Ray).
  • Experience with an ML platform or ML production path (training pipelines, model serving, feature pipelines).
  • Proficiency in Python, Kotlin, Databricks, and AWS.
  • Growth mindset and willingness to learn.
  • Ability to translate complex requirements for technical and non-technical partners.

Responsibilities

  • Build and optimize ML and simulation platform for scale and performance.
  • Develop software applications enabling ML models.
  • Build self-service tooling for feature registration and model deployment.
  • Provide data and feature infrastructure behind each model.
  • Design simulation systems reflecting production environments.
  • Collaborate with ML, Engineering, Product, Data Engineering.
  • Mentor engineers on distributed systems, MLOps, and scalable architecture.

Skills

6+ years exp
Backend services
Distributed systems
ML platform
Python
Kotlin
Databricks
AWS
Growth mindset
Requirements translation

Tools

Spark
Databricks
Ray
MLflow

Job description

Upstart, a digital-first AI lending platform, seeks a Senior Software Engineer for the ML and Simulations Platform. You will build an MLOps platform to support model inference, automation, deployment, and observability, and help create a marketplace simulation platform enabling rapid ML and finance experimentation.

You will mentor engineers, partner with ML, Engineering, Product, and Data teams, and work in a flexible, remote-friendly environment across the U.S., with in-person onsites as needed.

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