Machine Learning Engineer
AvaSureUnited States13 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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AvaSure is revolutionizing healthcare with cutting-edge virtual care solutions that protect patients and empower clinical teams. We're proud of our collaborative culture where innovation thrives and every team member is valued. Want to be part of something meaningful? Apply today and help us shape the future of healthcare!
Position Summary
The Machine Learning Engineer is responsible for designing, developing, and deploying machine learning solutions that support critical business objectives. This includes both general-purpose ML systems and specialized computer vision applications. The ML Engineer will work across the entire ML lifecycle - from data ingestion and model training to deployment and monitoring in production. A strong emphasis will be placed on leveraging computer vision techniques (e.g., image/video analysis, object detection, and visual feature extraction) to enhance product capabilities. The ML Engineer will collaborate with software engineering, data science, and product teams to deliver scalable and efficient solutions.
Responsibilities
Position Type: Full-time
Location: United States | Remote
Why AvaSure?
As the pioneer and expert in inpatient telehealth, AvaSure has provided safer environments with over 2 million patients monitored and 200 million monitored hours. By continuing to reduce adverse events, and by optimizing workforce efficiencies for the nation's top health systems, AvaSure has consistently lowered the cost of care while providing safer, more efficient healthcare for everyone.
Diversity creates a healthier work environment: AvaSure is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Position Summary
The Machine Learning Engineer is responsible for designing, developing, and deploying machine learning solutions that support critical business objectives. This includes both general-purpose ML systems and specialized computer vision applications. The ML Engineer will work across the entire ML lifecycle - from data ingestion and model training to deployment and monitoring in production. A strong emphasis will be placed on leveraging computer vision techniques (e.g., image/video analysis, object detection, and visual feature extraction) to enhance product capabilities. The ML Engineer will collaborate with software engineering, data science, and product teams to deliver scalable and efficient solutions.
Responsibilities
- Design, develop, and deploy machine learning models aligned with business goals, with a focus on computer vision-based solutions (e.g., real-time image processing, object tracking, and visual classification.
- Build and maintain data pipelines to support model training and inference, including image/video preprocessing and feature extraction.
- Train, fine-tune, and optimize models using modern ML frameworks and deep learning architectures for CV (e.g., CNNs, vision transformers, multimodal models).
- Deploy ML solutions to production and integrate them with internal and external systems.
- Write clean, well-tested, and maintainable code.
- Conduct and participate in code reviews to maintain high quality standards.
- Perform root cause analysis and debugging to ensure model and system reliability.
- Partner with cross-functional teams to translate business requirements into ML and CV solutions.
- Conduct feasibility studies and develop prototypes for emerging CV technologies, including edge AI, real-time inference, and sensor data fusion.
- Stay up to date on ML and CV trends and contribute to process and technology improvements.
- Machine Learning & AI: Supervised/unsupervised learning, deep learning, model tuning and evaluation.
- Computer Vision: Image and video processing, object detection/segmentation, optical flow, OCR, pose estimation, multimodal fusion.
- MLOps: CI/CD for ML, model versioning, monitoring, and retraining.
- Software Engineering: API development, modular programming, testing, and scalable deployment.
- Data Engineering: ETL, data preprocessing, feature engineering, image/video data management.
- Tools & Frameworks: PyTorch, TensorFlow, OpenCV, scikit-learn, MLflow, Docker, Kubernetes, Airflow.
- Languages: Python (required), plus familiarity with Java, C#, or JavaScript preferred.
- Cloud: AWS, Azure, GCP, or OCI, including CV services (e.g., SageMaker, Vertex AI, or custom pipelines).
- None
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field (Master's preferred).
- 2 - 4 years of experience in building and deploying machine learning models in production.
- Proficiency in Python and at least one ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (e.g., AWS, GCP, OCI, or Azure) and containerization (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines for ML.
- Strong problem-solving skills and ability to work independently as well as in team settings.
- Must be able to sit for much of the workday with periodic walking and/or standing.
- Must be able to work in an office environment.
- Must be able to be recorded.
- Base Salary Range: $105,000 - $117,000 per year
- Bonus/Commission Eligibility: Yes, bonus eligible for non-sales roles.
- Benefits Offered:
- AvaSure sponsored Medical, Dental & Vision
- Safe Harbor 401K with Employer Matching up to 4%
- HSA Employer Contributions, Employer Paid Life, Short-term and Long-term Disability, and AD&D Insurance Plans
- Flexible Time Off Plan & Paid Holidays
- Parental Leave
- Generous Tuition & Continuing Education Reimbursement available
- Employee Referral Bonus
Position Type: Full-time
Location: United States | Remote
Why AvaSure?
As the pioneer and expert in inpatient telehealth, AvaSure has provided safer environments with over 2 million patients monitored and 200 million monitored hours. By continuing to reduce adverse events, and by optimizing workforce efficiencies for the nation's top health systems, AvaSure has consistently lowered the cost of care while providing safer, more efficient healthcare for everyone.
Diversity creates a healthier work environment: AvaSure is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
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