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.
Meet the Team:
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
What You Bring:
- 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 We Offer:
- Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage
- Bonus Program: Be rewarded for your contributions with our performance-based bonus program
- Employee Stock Option Program: Become an owner and share in our success through our stock option program
- Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance
- Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts
- Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year
- Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement
- Mentorship Program: Benefit from guidance and support from experienced leaders in your field
- Flexible Ways of Working: Enjoy the freedom to work in a way that suits your life and boosts your productivity
The Application Process:
We believe applying for a job should be straightforward and transparent. Here’s what to expect:
- Submit Your Application: You’ll receive a confirmation email right away.
- Hiring Manager interview: Discuss your experience, skills, and motivations relevant to the specific job requirements
- Talent Interview: Learn more about our culture, get alignment on your compensation expectation prior to committing to next steps
- Meet the Data Team: Dive into technical discussions and learn how you can make an impact at League.
- Final Steps: Meet our cross-functional team and the Executive leader and share experiences on collaboration and alignment with company values and strategic goals
- Offer and onboarding!
We value your time and effort—our team is committed to providing updates throughout the process.
Security-related Responsibilities:
- Compliance with Information Security Policies
- Compliance with League’s secure coding practice
- Responsibility and accountability for executing League’s policies and procedures
- Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.
Compensation range for Canada applicants only $111,800 – $167,800 CAD
Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.
Our 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.