Happy Money is looking for an Applied AI Manager to lead a team of ML engineers in designing, developing, and deploying complex machine learning solutions that drive critical business outcomes. You will play a critical role in scaling the Machine Learning organization and evolving the core ML platform.

What You'll Do

Lead ML engineering execution and own technical direction for ML systems across computer vision and multimodal/GenAI use cases.
Design and develop advanced algorithms to address complex business challenges.
Research and implement cutting-edge machine learning models and techniques.
Prototype new models and evaluate their performance through simulation.
Optimize machine learning models for faster speed and greater efficiency.
Implement feature selection and engineering techniques to boost model performance.
Evaluate machine learning models to ensure they deliver accurate and relevant results.
Set clear success criteria for models and systems and hold the team accountable to outcomes.
Anticipate skill gaps, build a hiring plan, and attract and retain strong ML engineers.
Coach team members, set explicit expectations, give direct feedback, and accelerate individual growth.
Build an environment of ownership, trust, and continuous learning.
Develop future leaders and create succession within the team.
Work closely with Product, Hardware, Data Science, and Analytics to shape problem definition and roadmap.
Translate ambiguous business needs into concrete technical direction.
Contribute to company strategy at the intersection of ML, devices, and care outcomes.

What We're Looking For

8+ years of professional experience in machine learning, software engineering, or a similar domain.
5+ years with machine learning algorithms, model development, and model deployment.
3+ years in managing machine learning and computer vision teams.
Proven experience shipping ML systems into production and operating them at scale.
Demonstrated ownership of model lifecycle: data, training, evaluation, deployment, monitoring, and iteration.
Experience applying multimodal or GenAI techniques in real products.
Demonstrated ability to grow people, uplevel teams, and manage performance with clear expectations and direct feedback.
Experience driving alignment and execution across Product, Engineering, and Data, with accountability for outcomes.
Excellent verbal and written communication skills, with the ability to convey complex ideas clearly to cross-functional audiences and connect ML projects to business outcomes.
Proven ability to operate under ambiguity, prioritize effectively, and maintain momentum in a fast-moving environment.

Nice to Have

Experience with on-device or edge computer vision.
Experience with video/image processing on device.
Familiarity with Networking, Cloud Uploading, and WiFi constraints.
Experience in health-tech or regulated environments.
Experience in growth-stage startups.

Team & Environment

You will lead a team of talented engineers and collaborate with cross-functional partners including Data Science, Product, Engineering, and Analytics.

Benefits & Compensation

Medical, dental, and vision insurance
Flexible PTO
Compensation: $200,000 - $235,000 + equity

Work Mode

This role is open to candidates working remotely within the United States or Canada.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.