REEF transforms urban spaces into community hubs that create jobs and bring new goods, services and experiences to the neighborhood. With an ecosystem of 5,000 locations and a team that’s over 18,000 strong, REEF is the largest operator of parking real estate and delivery restaurants in America, Canada and the UK with a growing presence across Europe. By connecting the world to your block, we’re making the place you live, the place you love to be.
A Machine Learning Engineer is needed to productize models and serve predictions to our Products and Enterprise customers. This role will also be involved in the maintenance of our infrastructure along with our DevOps Engineers and will recommend infrastructure or tools improvements based on new use cases.
What You'll Do
• Design, build and deploy scalable machine learning systems • Collaborate with engineers across functions to develop, orchestrate and automate data and model pipelines. • Research and implement best practices to enhance existing machine learning infrastructure. • Implement cloud distributed training approaches for machine learning models. • Create web services/APIs for serving ML/AI model results and enabling access to customers. • Monitor and fine-tune the machine learning models we have in production on a daily or weekly basis. • Create documentation on machine learning processes.
What We Want From You
• Master’s degree in relevant field. • Minimum of 5+ years of experience designing and building automation-first machine learning systems and application in an iterative fashion, from the ground up. • Ability to write robust, maintainable, and extendable code in Python • Experience with version control platforms; we use Bitbucket. • Experience in cloud environments; we use AWS. • Experience developing containerized applications and services, as well as scale, schedule and monitor those containers (e.g., Docker, Kubernetes). • Significant experience using Sagemaker Processing and/or Spark to run various types of data and Machine Learning transformations like feature engineering, as well as, generating training, validation, and test sets for data validation and model evaluation. Knowledge of Kafka and Redis is highly desirable. • Experience running programmatic operations that can be individually monitored and collectively orchestrated; we use Airflow. • Experience tracking, versioning and evaluating models; we use MLflow. • Experience building/working with APIs. Experience with Apigee is a big plus. • Ability to work well and thrive in a fast-moving culture. • Demonstrated communication and interpersonal skills. • Builder mindset.
REEF Technology is an equal opportunity employer, and we value diversity at our company. REEF does not discriminate on the basis of race, religion, color, sex, national origin, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. REEF complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.