Machine Learning Engineer, Data Acquisition
Description For Machine Learning Engineer, Data Acquisition
Zus Health, founded in 2021 by Jonathan Bush, is revolutionizing healthcare data interoperability through their shared health data platform. As a Machine Learning Engineer in the Data Acquisition team, you'll be at the forefront of developing and implementing ML solutions that power their healthcare data infrastructure. The role combines hands-on ML engineering with practical software development, focusing on building and optimizing large language models and MLOps systems.
You'll be working in a cross-functional team environment, designing and implementing scalable machine learning solutions that address key business challenges in healthcare data acquisition. The position requires expertise in both theoretical ML concepts and practical implementation, with opportunities to conduct research, develop prototypes, and integrate innovative solutions into production systems.
The ideal candidate brings 3+ years of ML experience, strong Python skills, and practical knowledge of modern ML frameworks. You'll be responsible for the entire ML lifecycle - from experimentation to production deployment, working closely with software engineers to ensure reliable and scalable model operations. The role offers competitive compensation ($150,000-$190,000), comprehensive benefits, and the opportunity to make a significant impact in healthcare technology.
This position is perfect for someone who combines technical ML expertise with practical software engineering skills, has a passion for healthcare innovation, and thrives in a collaborative environment where they can directly influence product development and technical direction.
Responsibilities For Machine Learning Engineer, Data Acquisition
- Formulate hypotheses, build rapid prototypes, and run experiments
- Design task-specific metrics and perform error analysis
- Work cross-functionally with engineers and stakeholders
- Select and adapt appropriate models balancing latency, cost, and quality
- Partner with data engineers on data quality
- Take prototypes to production and maintain models
Requirements For Machine Learning Engineer, Data Acquisition
- 3+ years building and shipping ML models
- Experience with LLMs or classical NLP methods in production
- Proficiency in Python
- Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Solid grasp of classical ML algorithms
- Experience designing offline or online experiments
- Familiarity with cloud services
- Excellent analytical and problem-solving skills
- Strong verbal/written communication skills
- Ability to work effectively in a team environment
Benefits For Machine Learning Engineer, Data Acquisition
- Health insurance
- Wellness benefits
- 401k with match
- Unlimited PTO
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