Facebook pixel

Senior Machine Learning Engineer
Confirmed live in the last 24 hours
United States
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Data Analysis
Data Science
Development Operations (DevOps)
Google Cloud Platform
Microsoft Azure
Apache Beam
Apache Flink
  • Minimum 5 years experience in data science, software engineering, data engineering or related discipline
  • Ability to articulate pros and cons of technical decisions and influence stakeholders
  • Strong experience with a suite of cloud DevOps and CI/CD tools (Terraform, Docker, CircleCI, GitHub Actions, Cloud Build, etc) and processes
  • Strong Experience with distributed data processing frameworks such as Apache Beam (ie DataFlow), Spark, Flink or similar
  • Experience with multiple programming languages - Required: Python, SQL, Nice to Have: Scala, Go, R, C/C++ etc
  • Experience with GCP VertexAI, Azure Machine Learning Studio or AWS SageMaker
  • Experience with orchestration tools such as Apache Airflow
  • Experience in developing real time (RabbitMQ, Kafka, Pub/Sub) and batch pipelines
  • Experience with developing, implementing, deploying and scaling machine learning models to production
  • Experience in performing root cause analysis of production issues, performance tuning and optimization
  • Experience using and extending ML frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn, SHAP)
  • Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR
  • 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
  • Drive architectural choices and develop the League set of MLOps platform tools
  • Guide and mentor data scientists and engineers through the MLOps process and framework, including mentoring data scientists in areas such as software development, lifecycle, & data engineering best practices
  • Engage in discourse with Data Scientists on trade-offs of deploying various data science models in production
  • Translate business and stakeholder needs into MLOps requirements, with attention to details
  • Utilize a variety of distributed computing frameworks and cloud services and tools to build scalable ML pipelines and endpoints
  • Analyze, tune, troubleshoot and support the MLOps platform ensuring the performance, integrity, and security of data and models produced
  • Use sound agile development practices (testing and code reviewing, etc.) to develop and deliver data products

201-500 employees

Digital health platform
Company Overview
League is on a mission to power the digital transformation of healthcare. The company is building digital infrastructure for better consumer health experiences.
  • Personalized benefits plan
  • Health, Lifestyle & Learning spending accounts
  • Flexible medical and dental plans
  • Fertility treatment support
  • Paid parental leave and baby bonus
  • Unlimited PTO
  • Free mental health counselling and support
  • Employee Stock Option Program
  • Exclusive access to a curated wellness marketplace
  • Sabbatical program
  • RRSP/401K accounts
  • High-impact onboarding
  • Extra-long holiday weekends
  • Mental health (wellness) days
Company Core Values
  • Creating a healthier future.
  • Building a dream team.
  • All owners.
  • Aspiring to live our best lives.
  • In it to win it.