Machine Learning Engineer

August 24

🏡 Remote – Anywhere in California

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Logo of TailorCare

TailorCare

Empowering patients to make the best treatment decisions for their unique joint, back, and muscle pain.

11 - 50

Description

• TailorCare is transforming specialty care using machine learning. • Rapidly prototype, deploy, and maintain machine learning models. • Work with cross-functional teams to solve business problems with ML. • Design and build machine learning models for diverse healthcare data. • Validate models before production deployment with MLOps best practices. • Set up ML workflows using Databricks and GitHub for automated retraining. • Automate and document ML models for future use.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience required • 3+ years’ experience as a Machine Learning Engineer or Data Scientist. • 3+ years’ experience with Python or Scala and machine learning frameworks: scikit-learn, PyTorch, XGBoost, TensorFlow, Keras, OpenCV, etc. • 1+ years experience with DNN (Deep Neural Networks), NLP, LLM (Large Language Models), Prompt Engineering, LangChain, and RAG (Retrieval-Augmented Generation).

Benefits

• Meaningful work each day, we care deeply about our mission, our patients, and each-other. • Work from anywhere in the US that best fits your lifestyle, or, for those that enjoy an in-person environment, join teammates in our hybrid hub Nashville. • Rich PTO and holiday plans to ensure you have time away to rest and recharge. • We offer paid parental leave, support a healthy work-life integration, and offer work flexibility – we love to talk about our pets and families. • Medical, dental, vision, life, disability, wellness resources, and an employer HSA contribution all from Day 1. • We are committed to fair and equitable pay for all employees, and we help you achieve your future goals with an employer match 401k. • An inclusive workplace where you can lean on your teammates, offer candid feedback, and bring your true self to work each day.

Apply Now
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