Principal AI Engineer, League
$214.8-268.5k
Consumer experience platform for healthcare
Be an early applicant
Consumer experience platform for healthcare
201-500 employees
Be an early applicant
$214.8-268.5k
201-500 employees
Company mission
To power next-generation healthcare experiences with a platform built to enable CX transformation.
Role
Who you are
- Deep Technical Expertise: Extensive hands-on experience in software engineering and a strong understanding of the entire machine learning lifecycle
- Platform-Level Thinking: Proven ability to design and build scalable, distributed systems, ideally for machine learning or data-intensive applications
- MLOps Mastery: Demonstrated experience with MLOps tools and practices, including CI/CD for machine learning, model versioning, and feature stores
- Cloud Proficiency: Expertise with public cloud platforms (e.g., AWS, GCP, Azure) and a solid understanding of containerization and orchestration technologies like Docker and Kubernetes
- Data Fluency: A strong grasp of data engineering concepts, including data pipelines, data warehousing, and distributed data processing frameworks
- Exceptional Leadership: The ability to lead technical conversations, influence decisions, and effectively mentor junior and senior engineers
- Required Tech Stack:
- Cloud Platforms: Extensive experience with AWS and/or GCP, including core compute, storage, and networking services
- Programming Languages: Expert-level proficiency in Python and familiarity with Go for backend services
- Data & AI Frameworks: Experience with big data processing platforms like Apache Spark, Apache Beam, Hadoop, etc
- Familiarity with modern machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
- MLOps & Orchestration: Deep understanding of MLOps principles and experience with tools like Kubeflow, MLflow, or AWS SageMaker
- Experience with workflow orchestration tools like Airflow or a similar platform
- DevOps & Infrastructure:Expertise in containerization and orchestration using Docker and Kubernetes
- Hands-on experience with Infrastructure as Code (IaC) tools like Terraform
- Data Systems: Experience with both relational and NoSQL databases, and familiarity with data warehousing and streaming technologies
What the job involves
- We're looking for an exceptional Principal AI Engineer to join our Software Platform Engineering team. This role is a unique opportunity to shape the future of digital health by designing, building, and scaling the core platform that enables our AI-driven products.
- You will act as a technical leader, architecting the foundational systems and tools that empower data scientists and engineers to efficiently build, deploy, and manage machine learning models at scale
- You will have a direct impact on our mission to help users lead healthier, happier lives by ensuring our AI platform is robust, secure, and performant. Your work will not only involve hands-on system development but also mentoring others and setting the technical vision for how we operationalize AI across League
- Architect and Develop AI Infrastructure: Design, build, and maintain a highly scalable and reliable platform for AI/ML workloads, including model training, serving, and monitoring
- Lead MLOps Strategy: Champion and implement best practices for Machine Learning Operations (MLOps) to automate and streamline the entire model lifecycle, from experimentation to production deployment and maintenance
- Collaborate and Mentor: Work closely with data scientists, data engineers, and product teams to translate business needs into technical requirements and guide the implementation of AI solutions. You will be a key mentor, providing technical guidance and raising the engineering bar for the entire team
- Ensure Platform Excellence: Establish standards and best practices for performance, security, data governance, and reliability within the AI platform
- Evaluate and Innovate: Continuously evaluate new technologies, tools, and frameworks to improve the efficiency, speed, and capabilities of our AI platform
- Ensure access management is performed in compliance with the employee's role and responsibilities
- Responsibility and accountability for executing League's policies and procedures within the department/ team
- Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
- Compliance with Information Security Policies
Application process
- Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
- You should receive a confirmation email after submitting your application
- A recruiter (not a computer) reviews all applications at League
- If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring
- The final step is an offer, which we hope you will accept!
- Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring
Our take
Health benefits are a top requirement for anyone seeking a new job in the US today, but classic one-size-fits-all plans are no longer regarded fit for service. League's platform - for payers, providers, consumer health businesses, and employees - connects all benefits in one HIPAA-compliant place, to enable all bodies involved with health benefits to provide better customer healthcare experiences.
League is already one of the bigger players in the employee wellness space, having capitalized on the recently accepted correlation between employee health and productivity to secure huge clients like Uber, Shopify and Unilever. The company has seen significant investment which will support the scaling of its platform-as-a-service offering, to position it as the leading digital infrastructure for an integrated health ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$95m
SERIES C
Jul 2018
$47.1m
SERIES B
Total funding: $171.1m
Company benefits
- Flexible medical and dental plans
- 401(k) and RRSP matching programs
- Health, lifestyle, learning and family spending accounts
- Employee stock option program (ESOP)
- Generous leaves (including parental and sabbatical)
- Flexible time off
Company HQ
Entertainment District, Toronto, ON
Leadership
Michael Serbinis
(CEO & Founder)Founder of DocSpace and Kobo. Experience as CEO for Three Angels Capital and Board Director for Vector Insitute, among other prominent business leadership roles.
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