Senior Machine Learning Engineer, League
CA$111.8-167.8k
+ Performance-Based Bonus Program + Stock Options
Consumer experience platform for healthcare
Be an early applicant
Consumer experience platform for healthcare
201-500 employees
Be an early applicant
CA$111.8-167.8k
+ Performance-Based Bonus Program + Stock Options
201-500 employees
Company mission
To power next-generation healthcare experiences with a platform built to enable CX transformation.
Role
Who you are
- You have strong analytical and data science skills and are excited to apply it in non-traditional domains
- You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
- You are a strong problem solver and can communicate the challenges and solutions effectively
- You love taking ownership of your algorithms and its performance and are eager to fix and improve it
- You drive to learn and master new technologies and techniques
- You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python, R, and SQL
- You have experience working on advanced web applications, with preference given to those written in Go or similar languages
- You have experience working with Terraform or other IaC frameworks
- You are eager to learn from others and help others grow with you
What the job involves
- As a Senior Machine Learning Engineer, you will apply statistical techniques and machine learning to empower our product in the domain of health, wellness, and care navigation
- You will work as part of a small multi-disciplinary team to build and deploy machine learning / artificial intelligence models to production, and integrate them into the League backend
- To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating
- Furthermore, you understand the business impact of your work and enjoy measuring and presenting it
- You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, and then continue to iterate on it
- You can balance technical complexity with delivering customer value in a timely fashion
- You are comfortable with the end-to-end machine learning product lifecycle, and can work on any part of the stack - from infrastructure, to data, to backend, to frontend
- Our data pipelines are built with Airflow, Python, and BigQuery SQL
- Our ML pipelines are built using Kubeflow Pipelines on VertexAI
- Our web service backend is written in Go
- Our infrastructure is managed with Terraform
- The Core Data Science team is part of the Data team, and consists of experienced Data Scientists and Machine Learning Engineers
- The team is responsible for several impactful products, including a Content Recommendation System, a Health Risk Assessment service, a Content Subject Tagging System, and a Healthcare Question-Answering service
- We are also actively developing new products in the Search space
Application process
- Submit Your Application: You’ll receive a confirmation email right away
- Talent screen: Learn more about our culture, get alignment on your compensation expectation prior to committing to next steps
- Take-home assessment
- Meet the Engineering Team: Dive into technical discussions and learn how you can make an impact at League
- Final Steps: Meet our cross-functional team and the hiring managers and share experiences on collaboration
- Offer and onboarding!
- 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 values
- Creating a healthier future: We believe in what we do, and we are not afraid of audacious goals or big ideas. We are here to change the lives of millions.
- Aspiring to live our best lives: We encourage each other to live life to the fullest, inside and outside the office.
- Building a dream team: We believe success is a teams sport. We all contribute to the growth of our team by listening, learning, being respectful, lending a helping hand and championing diversity.
- Taking ownership: We trust you to do your job, take risks, succeed, fail and try again. Take initiative, get creative and be resourceful. We're behind you 100%.
- In it to win it, together: We have a huge mission, so bring all of your mabition, innovation, ingenuity, creativity and grit. This is not for the faint of heart.
- Invested in inclusion: We believe that every Leaguer belongs.
Company HQ
Entertainment District, Toronto, ON
Articles
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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