Tech Lead Manager, Machine Learning

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the creation of machine learning systems that support Cedar Pay’s Personalization Engine.

• Take full ownership of the machine learning system and its lifecycle, ensuring reliability, scalability, and model performance.

• Engage in practical MLOps tasks, including feature stores, model deployment, inference, and monitoring pipelines.

• Direct advanced ML modeling efforts, which may involve ensemble models, reinforcement learning, and multi-armed bandits.

• Establish compliance and fairness safeguards.

• Contribute technically while mentoring and empowering a team of two ML engineers.

• Perform code and design reviews to enhance technical excellence.

• Manage, mentor, and coach machine learning engineers directly.

• Develop production-ready systems capable of processing millions of healthcare transactions.

• Quickly operationalize, iterate, and enhance ML models and methodologies.

• Enhance and broaden feedback loops that capture patient responses to real-time decisions.

• Enable models to autonomously learn and adjust to evolving economic and healthcare environments.

• Collaborate with Product and Design teams to convert patient journey touchpoints into specific ML challenges.

• Identify opportunities for leveraging machine learning within the Cedar Pay ecosystem.

⛳️ Requirements

• A minimum of 6 years of professional experience in machine learning engineering.

• Proven experience in designing, building, and deploying ML-driven personalization systems or recommendation engines at scale for consumer-facing applications.

• Practical experience throughout the entire ML lifecycle, from data pipelines and feature engineering to core model training and MLOps infrastructure.

• Strong proficiency in Python and SQL is highly desirable.

• At least 1 year of experience in managing ML engineers and scientists.

• Experience leading a team through a technical roadmap from concept to production.

• Candidates with an IC Tech Lead ML background and informal or dotted-line management duties may be considered.

• Experience working collaboratively with product leaders and software engineers.

• Ability to translate business problems into supervised, unsupervised, or reinforcement learning tasks.

• Capability to assess model benefits against development and operational costs.

• Openness to advocate for simpler non-ML solutions when they yield a greater ROI.

• A strong passion for utilizing machine learning to enhance the healthcare financial experience.

🏝️ Benefits

• Eligibility for equity options.

• Competitive benefits and wellness package.

• Flexibility to work from home or in the office.

• Unlimited PTO for vacation, sick leave, and mental health days.

• A minimum of 20 vacation days encouraged per year.

• 16 weeks of paid parental leave with health benefits for all parents.

• Flexible re-entry schedules for returning employees.

• Competitive salary and health benefits.

• Assistance with fertility and adoption.

• 401(k) matching: 100% of contributions up to 3% of annual salary.

• Hands-on mentorship opportunities.

• Coaching for both employees and management.

• A team discretionary budget for learning and development resources.

• Initiatives promoting diversity and employee resource groups.