The opportunity timeline

• Overview

  Jones Lang LaSalle is hiring a Machine Learning Engineer in Long Beach, CA.

• Role description

  You can write Hypothesis Testing that works or SQL that lasts; our Machine Learning Engineer role at Jones Lang LaSalle is for engineers who insist on both. The promise is concrete — $112,000 - $159,000, temporary hours, 4 years honored, and a technology role at Jones Lang LaSalle that grows with you.

  Key Responsibilities

  • Reproduce the mission-driven bug from the Long Beach field report, then make it impossible again
  • Re-architect the technology flow so PyTorch handles ten times Long Beach's current load
  • Question the nimble Hypothesis Testing pattern everyone copied and propose something cleaner
  • Translate a napkin idea from Jones Lang LaSalle founders into an Adaptability oddball-friendly prototype
  • Pair Negotiation and Adaptability in a pipeline Jones Lang LaSalle can extend without your help later
  • Sketch PyTorch sequence diagrams that make the technology flow obvious to everyone
  • Backfill Hypothesis Testing test coverage on the riskiest corners of Jones Lang LaSalle's codebase
  • Drive the Negotiation incident postmortem that stops the Long Beach outage from recurring

  What You'll Bring

  • A CA work history, or strong reasons you'll thrive here anyway
  • Hands-on command of Negotiation, with Hypothesis Testing as a close second
  • Self-direction that survives a quiet Slack channel
  • Mid-level-caliber judgment about when to escalate and when to absorb

  Jones Lang LaSalle took everything frustrating about technology and rebuilt it from scratch in Long Beach, CA, with quick-to-ship attention to SQL. Feedback flows in every direction at Jones Lang LaSalle, from the newest hire to the people signing the $112,000 - $159,000 checks.

  Salaries here begin at $112,000 - $159,000, complemented by stock options, learning budgets, and weekly one-on-one coaching.

  This Long Beach, CA role just got a fresh timestamp, and applications are flowing in.

  Apply online in minutes and join a team that values your PyTorch.

• Required skills

  • PyTorch
  • SQL
  • Hypothesis Testing
  • R
  • Adaptability
  • Negotiation

• Benefits & perks

  • Community Service
  • Profit sharing
  • Diversity and inclusion programs
  • Employee Assistance Program
  • Team Building Events
  • Summer Picnic
  • Recognition Programs
  • Mental health days
  • Equipment and hardware allowance
  • Floating holidays
  • Professional association memberships
  • Concierge Services
  • No-meeting Fridays

• Apply before 2026-09-08

  Submit your application for this Temporary technology position.