The opportunity timeline

• Overview

  Wellness Medical Center is hiring a Machine Learning Engineer in Santa Rosa, CA.

• Role description

  This part-time Machine Learning Engineer position is your opportunity to deploy production code that reaches a massive audience. The pitch is honest — $104,000 - $149,000, real ownership of technology outcomes, and a Wellness Medical Center crew in Santa Rosa that has your back.

  Key Responsibilities

  • Walk technology stakeholders through Continuous Learning tradeoffs in language Wellness Medical Center execs grasp
  • Tune database queries and schemas for high-throughput Wellness Medical Center workloads
  • Document technical decisions, architecture, and APIs for the broader org
  • Ensure code quality through automated linting, testing, and static analysis
  • Contribute to sprint planning, estimation, and technology roadmap discussions

  What You'll Bring

  • Detail-oriented approach with a commitment to accuracy
  • Familiarity with the Santa Rosa market and local technology landscape
  • A spirited-and-grounded attitude and eagerness to learn new skills
  • Strong analytical and problem-solving capabilities
  • A Wellness Medical Center mindset: scrappy today, scalable tomorrow
  • Comfort navigating ambiguity when the brief arrives half-written

  Wellness Medical Center grew from a Santa Rosa kitchen table into a fun-loving technology company that Santa Rosa, CA now genuinely depends on. We hire for character and heads-down-and-happy thinking, then trust the rest to follow.

  The offer is plainspoken: $104,000 - $149,000, coaching that grows you, benefits that cover you, and a schedule that flexes with Santa Rosa.

  Active right now, the mid-level seat has not yet found its person.

  Turn your 3 of experience into your next role; apply today.

• Required skills

  • Seaborn
  • LightGBM
  • A/B Testing
  • R
  • Hugging Face
  • ETL Pipelines
  • Looker
  • Reinforcement Learning
  • NumPy
  • Clustering
  • Persuasion
  • Collaboration
  • Self-Motivation
  • Continuous Learning

• Benefits & perks

  • Disability accommodations
  • Outplacement services
  • Four-day work week
  • Gas and mileage reimbursement
  • Phantom stock plan
  • Community Service
  • Open source contribution time
  • Nap Pods
  • Global emergency assistance
  • 401(k) Matching
  • Free financial planning services
  • Educational Assistance

• Apply before 2026-08-16

  Submit your application for this Part-time technology position.