Machine Learning Engineer

Job expired!

About TailorCare

TailorCare is revolutionizing specialty care by providing a personalized, evidence-based approach to improve outcomes for joint, back, and muscle conditions. Our comprehensive care program leverages a careful assessment of patient symptoms, health histories, preferences, and goals, combined with predictive data and the latest evidence-based guidelines. This ensures our patients navigate the most effective treatment pathways at every step.

We value diverse experiences and perspectives, fostering a highly collaborative, curious, and determined team. We are passionate about scaling our high-growth startup to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville.

About the Role

We are seeking a skilled Machine Learning Engineer to enhance our Machine Learning and Data Science capabilities. In this role, you will prototype, deploy, and maintain machine learning models that are critical to our clinical and business workflows. You will have the opportunity to build ML models using real-world healthcare data, which will be deployed immediately to operations centers with live customers. Our rich and voluminous data offers limitless opportunities to apply Gen AI, LLMs (Large Language Models), NLP (Natural Language Processing), Computer Vision, Core ML (XGBoost, NN, DNN, etc.), statistics, and A/B testing.

Primary Responsibilities

Collaborate with cross-functional teams, including data scientists, data analysts, data engineers, and product managers, to understand business problems and design suitable ML modeling solutions.
Develop cutting-edge machine learning models for diverse healthcare data sets (structured/unstructured, labeled/unlabeled, mixed-mode).
Thoroughly validate models in real-world scenarios and deploy using the latest MLOps best practices.
Set up ML workflows using Databricks and GitHub to ensure models are automatically retrained for the latest data.
Implement smart monitors to ensure model performance and provide reliable predictions.
Automate and document models and data assets for use by other ML engineers and data scientists.
Innovate applications of machine learning using our data.

Requirements

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

Preferred Qualifications

Experience with Databricks, Pyspark, MLFlow, GitHub, and CI/CD processes.
Experience with healthcare datasets and terminologies.
Experience working in an agile environment with SCRUM.

Skills

Scientific Approach – Ability to start with an open-ended question and design an analysis to answer it.
Engineering Mentality – Focus on common denominators and building a platform that enables fast model development and deployment.
Seek Simplicity – Build solutions with the minimum necessary complexity, considering ongoing maintainability and improvement.

What's In It For You

Engage in meaningful work each day, caring deeply about our mission, patients, and each other.
Work from anywhere in the US or join teammates in our hybrid Nashville hub.
Rich PTO and holiday plans to ensure time for rest and recharge.
Paid parental leave, a healthy work-life balance, and work flexibility—we value talking about our pets and families.
Comprehensive benefits package including medical, dental, vision, life, disability, wellness resources, and employer HSA contributions from Day 1.
Fair and equitable pay, with an employer match 401k to help achieve future goals.
An inclusive workplace culture where candid feedback is welcome, and you can bring your true self to work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and