About Us
Limeade is an employee experience software company that helps build great places to work. Our platform unifies employee well-being, engagement, and inclusion solutions with industry-leading communications capabilities. Recognized for its own award-winning culture, Limeade helps every employee know their company cares. To learn more, visit www.limeade.com.
We're committed to creating a mission-driven, positive and inclusive culture of improvement made up of the best and brightest people in the business. And we've got the awards to back it up: Puget Sound Business Journal ranked us #1 Best Workplace in Washington, and Seattle Business ranked us one of the top three Best Companies to Work for in Washington State. In addition, we're one of the fastest-growing companies in North America (Deloitte's Technology Fast 500™), and Fortune magazine recognized us as a Best Workplace for Women. Limeade is a global company that embraces a distributed workforce and has users in more than 100 countries. Our headquarters are in Bellevue, WA.
About The Role
We are seeking a Machine Learning Engineer for a small but mighty Personalization team. In this role, you contribute to taking them through its ML-first future, where best-in-industry algorithms are deployed throughout the platform to improve the employee experience for all their users. You’ll be dedicated to productionizing machine learning applications and systems at scale, by working with data scientists to build and deploy machine learning models across our entire software as a service platform. In addition to Personalization team, you will work with other engineers across the company to utilize ML to personalize the user experience wherever they interface with the product.
This role can be fully remote.
Responsibilities
- Core development of Machine Learning models
utilizing Limeade’s Data Platform in the Azure
cloud
- AI infrastructure and data-driven tools
development. Develop AI and MLOps tools to
accelerate the model training pipeline and
lifecycle processes.
- Develop algorithms and tools to streamline data
collection, data annotation, and dataset building
and AI training process.
- Coordinate with the team managing the virtual
hardware clusters to maintain high availability /
jobs throughput for Machine Learning.
- Solve complex problems by writing and testing
application code, developing and validating ML
models, and automating tests and deployment
Qualifications
- Ability to demonstrate our values in an on-going
and consistent way
- 2 – 4 years of experience working in data
science, machine learning, or other software
engineering function, with a bachelor’s degree in
a scientific or technical discipline
- 2 – 4 years of professional data science and/or
research analyst experience with expertise in
SQL and strong programming skills in Python,
Scala, R, or similar
- 1-2 years of experience with Databricks/Spark
for building and deploying production ML models
Preferred
- Experience with big data platform architecture
components like workflow orchestration (Apache
Airflow), data pipelines, data lakes, and feature
stores strongly preferred
Limeade provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Limeade will provide reasonable accommodations for qualified individuals with disabilities.
This position is open to remote workers located in the United States and Canada.
