Machine Learning Software Engineer

Job Title:

Machine Learning Engineer

Contract to hire

Hybrid Remote in Valencia, CA – 3x per week onsite

$90/hr W2

Normal Hours M-F

Off every other Friday

We are seeking a Machine Learning Engineer with strong production-level Python development skills to join our Algorithm Team. This role spans the full machine learning lifecycle—from exploratory data analysis and early-stage prototyping to algorithm development, tuning, and handoff for production deployment.

The ideal candidate will work closely with firmware and software engineers, ensuring algorithms are robust, well‑documented, and ready for real‑world embedded and/or cloud-based systems. This is a hands‑on role well‑suited for an engineer with a solid machine learning foundation who thrives in collaborative, engineering‑driven environments.

• Perform ETL, exploratory data analysis (EDA), and feature engineering on complex datasets.
• Design, prototype, and implement machine learning algorithms, with a focus on biomedical time‑series data and small datasets.
• Develop practical and reliable methods for:
  • Classification
  • Anomaly detection
  • Regression and prediction
• Write, test, and maintain production‑grade Python code following best practices in:
  • Version control
  • Automated testing
  • Documentation
• Collaborate with firmware and software engineers to translate algorithmic concepts into rigorously tested, real‑world implementations.
• Support downstream development and deployment by clearly handing off algorithm work products.
• Communicate technical findings and methodologies to both technical and non‑technical stakeholders.

• Deep expertise in Python, including hands‑on experience with:
  • pandas, numpy, scipy
  • matplotlib and/or plotly
  • scikit‑learn
  • Testing frameworks such as pytest or unittest
• Strong background in machine learning, with practical experience developing and tuning models.
• Comfort working within a modern software development lifecycle, including:
  • Git‑based version control
  • CI platforms
  • Issue tracking tools (e.g., Jira)
  • Code repositories (e.g., Bitbucket or similar)
• Ability to work independently while collaborating closely with senior algorithm engineers and cross‑functional teams.

• Experience with MATLAB and/or C/C++.
• Knowledge of signal processing techniques.
• Experience working in regulated industries such as:
  • Medical devices
  • Aerospace
  • Transportation
  • Other safety‑or‑compliance‑critical domains

• Work on meaningful, real‑world machine learning problems.
• Collaborate with experienced algorithm, firmware, and software engineers.
• Build production‑ready ML systems that transition from concept to deployment.
• Contribute to a growing team where your work has visible impact.

Medix™

Senior (5+ years of experience)

Classification, Data Analysis, Industry, Machine Learning, NLP, United States