The opportunity timeline

• Overview

  BMW is hiring a Machine Learning Engineer in Dallas, TX.

• Role description

  Hard problems in dbt don't intimidate you; they're the reason you open your laptop, which makes you our kind of Machine Learning Engineer. Think of it less as a job and more as a $106,000 - $156,000 bet BMW is placing on your 6 years and your judgment.

  Key Responsibilities

  • Chase down the Snowflake integration that silently drops BMW events at midnight
  • Shave milliseconds off the technology hot path that BMW users feel every click
  • Ensure code quality through automated linting, testing, and static analysis
  • Mentor the senior cohort through their first real SageMaker on-call at BMW
  • Slice the question-everything technology monolith into Cultural Awareness services Dallas, TX can deploy alone

  What You'll Bring

  • Customer-focused outlook with strong interpersonal skills
  • 6+ years owning outcomes, not just completing tasks
  • Comfort working in a fast-paced, flexible environment
  • Resilience measured across 5 years of technology cycles
  • Comfort with the part-time cadence of a Dallas-based operation
  • Roughly 6+ years operating in a similar Machine Learning Engineer position

  Three things define BMW: a Dallas address, a scrappy culture, and a near-religious devotion to Data Wrangling. Our Dallas, TX team moves at a steady, sustainable pace and protects time for deep, focused SageMaker work.

  We pay $106,000 - $156,000 and protect it with coaching, coverage, and a flexible setup so your Kafka grows without burning you out.

  Live and listening, the hiring team reads new applications as they arrive.

  We're hiring, and your application could be the one we've been waiting for.

• Required skills

  • Data Wrangling
  • Azure ML
  • Kafka
  • Snowflake
  • SageMaker
  • dbt
  • Cultural Awareness
  • Mentoring

• Benefits & perks

  • Surrogacy assistance
  • Asynchronous work culture
  • Conference attendance budget
  • Weight management programs
  • Compressed Workweek
  • Comprehensive health insurance
  • Parental Leave
  • Career transition support
  • Hotel and lodging coverage
  • Meal delivery stipend
  • Tuition Reimbursement
  • Identity theft protection
  • Company Car

• Apply before 2026-08-15

  Submit your application for this Part-time technology position.