Job Details

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 Manager is a hands-on technical leader and people manager responsible for designing, building, deploying, and scaling production-grade machine learning systems, with a strong emphasis on computer vision, deep learning, and large language models (LLMs). This role leads a team of machine learning engineers while remaining actively involved in architecture decisions, model development, ML Ops, and critical code paths. The Machine Learning Manager partners closely with Product, Engineering, Clinical, and Operations teams to deliver reliable, ethical, and scalable AI solutions that directly impact customer outcomes. The ideal candidate combines strong technical depth, pragmatic leadership, and a bias toward execution, and thrives in environments where strategy and hands-on delivery are equally important.

Responsibilities:

• Lead the end-to-end machine learning lifecycle, including data ingestion, model development, training, evaluation, deployment, monitoring, and iteration.
• Own and evolve ML Ops architecture, including CI/CD for models, feature pipelines, model versioning, monitoring, and retraining strategies.
• Serve as a player-coach, contributing directly to design reviews, code reviews, prototyping, and implementation for high-impact initiatives.
• Architect and deploy computer vision models (e.g., CNNs, transformers, multimodal models) and LLM-based systems (e.g., prompt pipelines, fine-tuning, RAG, evaluation frameworks).
• Establish and track model performance, reliability, scalability, and ethical AI metrics, ensuring compliance with internal standards and regulatory expectations.
• Lead project planning, feasibility analysis, and technical scoping for new AI-driven functionality.
• Identify technical risks early and develop mitigation and contingency plans.
• Maintain and design software primarily in Python, with the ability to contribute to or review code in C/C++, Java, JavaScript, C#, and mobile frameworks as needed.
• Ensure strong testing discipline, including unit testing, integration testing, and test-driven development (TDD) practices.
• Apply and mentor on software design patterns, debugging strategies, and production troubleshooting best practices.
• Collaborate cross-functionally to align priorities, manage dependencies, and communicate progress, tradeoffs, and outcomes.
• Write and present technical and executive-level status updates to stakeholders.
• Oversee software and model releases and communicate release readiness and impact

Competencies:

• Artificial Intelligence (AI)
• Machine Learning & Deep Learning
• Computer Vision
• Large Language Models (LLMs)
• Data Modeling & Data Science
• Predictive Analytics
• ML Ops & DevOps
• Strategic Planning & Execution
• Technical Project Management
• Ethical AI & Model Governance

Supervisory Requirements:

• Directly manage machine learning engineers, including task assignment, performance management, mentoring, and career development.
• Conduct regular 1:1 meetings, support goal setting, and provide actionable feedback.
• Identify and remove blockers to keep the team productive and focused.
• Participate in hiring decisions, technical interviews, and onboarding of new team members.
• Partner with senior leadership and HR on team growth planning, compensation, and performance calibration.
• Foster a culture of psychological safety, transparency, accountability, and continuous learning

Education & Experience:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's preferred).
• 7+ years of professional experience in machine learning or related engineering roles.
• 1-3+ years of people leadership experience, preferably managing ML or data-focused teams.
• Demonstrated, hands-on experience with:
  • Computer vision frameworks (e.g., PyTorch, TensorFlow, OpenCV).
  • LLMs and modern NLP systems, including prompt engineering, fine-tuning, evaluation, and deployment.
• At least two machine learning frameworks.
• Strong proficiency in Python; experience with production-grade ML systems.
• Proven ability to define, estimate, and deliver complex technical projects on schedule.
• Experience designing task hierarchies, managing scope across features and epics, and balancing technical debt with delivery.
• Excellent communication skills with both technical and non-technical stakeholders.
• Demonstrated initiative in improving systems, processes, and codebases.
• Strong collaboration skills and a positive, team-first mindset.

Physical Demands & Working Environment:

• 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.

Compensation & Benefits

• Base Salary Range: $170,000 - $190,000 per year
• Bonus 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

FLSA Classification: Exempt

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.