Senior Machine Learning Engineer, Growth
HelloFreshabout 3 hours ago
Toronto, Canada
Senior
Responsibilities
- Build robust integration layers for visual AI pipelines processing multi-modal embeddings.
- Transition proof-of-concept models into resilient production microservices.
- Engineer high-throughput, low-latency data pipelines for processing 1P data.
- Collaborate with data scientists and engineers to improve value forecasting efficiency.
- Establish CI/CD processes, feature stores, and drift detection for model reliability.
Requirements
- Experience leading the end-to-end lifecycle of production ML systems.
- Expertise in hyperscaler ecosystems like AWS, GCP, or Azure.
- Deep technical proficiency with modern ML frameworks such as PyTorch and TensorFlow.
- Strong programming skills in Python and PySpark.
- A BS/MS in Computer Science or a related field with a proven track record in ML systems.
- Experience engineering robust data architectures for diverse data formats.
Benefits
- 75% discount on weekly HelloFresh and Chefs Plate meal kits and 50% off weekly Factor meal box.
- Health and dental benefits from day 1, including a Health Spending Account.
- Generous vacation and PTO for work-life balance.
- Parental leave top-up program for expectant parents.
- Support for career progression and continued learning.
- Flexible hybrid work arrangements with a minimum of 2 days in the office.
Tech Stack
AWSAzureGoogle Cloud PlatformPythonPyTorchTensorFlow
Categories
AI & MLData Engineering