The opportunity timeline

• Overview

  KyKR is hiring a Machine Learning Engineer in San Diego, CA.

• Role description

  Our Machine Learning Engineer role in San Diego, CA is a chance to build Team Leadership infrastructure from a clean slate, which at KyKR happens rarely and matters enormously. At its core, this is a mid-level Machine Learning Engineer job in CA that rewards 4 years with $106,000 - $153,000 and room to run.

  Key Responsibilities

  • Ship incremental improvements to KyKR's San Diego platform on a regular cadence
  • Replace the brittle Feature Engineering hack with an Excel solution that survives San Diego scale
  • Wrangle Feature Engineering config across environments so San Diego staging mirrors production
  • Keep KyKR's Feature Engineering dependencies patched before the CVEs become incidents
  • Keep the Databricks build pipeline green so San Diego deploys never wait on a red light
  • Prototype proof-of-concept solutions for emerging technology requirements
  • Configure and manage infrastructure as code across staging and production

  What You'll Bring

  • Proven follow-through, measured in shipped things rather than good intentions
  • Proven Azure ML results, ideally seasoned in San Diego, CA
  • Comfort being accountable for a question-everything outcome in a full-time role
  • Self-motivated and able to work independently with minimal oversight

  Where most technology vendors automate the easy parts, KyKR tackles the hard ones, from a sharp-but-gentle headquarters in San Diego, CA. Feedback flows in every direction, so good ideas reach the table no matter who voices them.

  Take home $106,000 - $153,000, build your LangChain under a mentor, lean on benefits, and shape a full-time week that finally fits.

  New candidates are being screened right now, so timing is good if you apply today.

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

• Required skills

  • Pandas
  • Azure ML
  • Hypothesis Testing
  • Excel
  • LangChain
  • Databricks
  • Feature Engineering
  • Team Leadership
  • Multitasking

• Benefits & perks

  • Compressed Workweek
  • Accidental death and dismemberment coverage
  • Hybrid work schedule
  • Coworking space allowance
  • On-site flu shots and vaccinations
  • Meditation Room
  • Team Building Events
  • Paid holidays
  • 401(k) Matching
  • Gender-affirming care coverage
  • Sabbatical Leave
  • Four-day work week

• Apply before 2026-09-05

  Submit your application for this Full-time technology position.