The opportunity timeline

• Overview

  Morgan Stanley is hiring a Machine Learning Engineer in Hamilton, OH.

• Role description

  Our technology stack is growing faster than our team, so Morgan Stanley is bringing on a Machine Learning Engineer to keep the architecture honest. Read it as a $66,000 - $91,000 invitation to own technology work in Hamilton, backed by a mid-level title and 4 years of trust.

  Key Responsibilities

  • Champion engineering excellence and continuous learning within Morgan Stanley
  • Write clean, well-tested code that scales with Morgan Stanley's growing user base
  • Harden Morgan Stanley's Hypothesis Testing auth so the OH audit comes back clean
  • Bridge Hypothesis Testing and Model Deployment so the two halves of Morgan Stanley's platform finally talk
  • Configure and manage infrastructure as code across staging and production

  What You'll Bring

  • The integrity to flag your own mistakes first
  • Comfortable presenting ideas to stakeholders at every level
  • 3 years of learning when to trust the process and when to break it
  • Knowledge of OH-specific regulations relevant to technology work
  • Hands-on command of Azure ML, with Multitasking as a close second
  • Fluency in BigQuery earned the hard way, not just from a tutorial

  At the heart of Morgan Stanley is a team-oriented belief that great technology software should feel effortless. Growth budgets at Morgan Stanley are generous because a sharper Multitasking you means a stronger team.

  The $66,000 - $91,000 we offer comes attached to mentorship, a clear ladder, real benefits, and flexible hybrid days you can plan around.

  Hot off the queue today, Morgan Stanley wants to hear from you this week.

  We welcome applications from driven professionals ready to make an impact.

• Required skills

  • Azure ML
  • Model Deployment
  • PyTorch
  • Snowflake
  • BigQuery
  • Hypothesis Testing
  • Deep Learning
  • Attention Management
  • Multitasking

• Benefits & perks

  • Volunteer Time Off
  • Recognition and rewards platform
  • Ping Pong
  • Home Office Setup
  • Short-term disability insurance
  • Training Budget
  • Legal insurance plan
  • Voluntary benefits marketplace
  • Maternity Leave
  • Bike-to-work program

• Apply before 2026-11-28

  Submit your application for this Hybrid technology position.