Machine Learning Engineer III
About The Position
This role focuses on designing and implementing cloud architectures for end-to-end machine learning workflows, including data preprocessing, model training, and deployment. The engineer will ensure scalability, reliability, and performance of these workflows. A significant aspect of the role involves utilizing Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation for automating cloud resource provisioning and management. Additionally, the engineer will implement and manage containerization solutions such as Docker and orchestration tools like Kubernetes for deploying and scaling machine learning applications. The position requires 20% domestic travel and allows for telecommuting up to 2 days per week.
Requirements
- Master’s degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 5 years of experience in an Operations Research Analysts or a related position/occupation.
- Alternate Education and Experience: PhD degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 2 year(s) of experience in an Operations Research Analysts or a related position/occupation.
- Full term of experience must include: Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms.
- R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker.
- Jenkins.
- Terraform.
- MLflow.
- Model Serialization.
- Inference Optimization.
- API development.
Responsibilities
- Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and performance.
- Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning.
- Implement and manage containerization solutions (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.
Benefits
- 401k
- new hire and annual equity grant
- annual bonus
- medical/Rx insurance
- vision insurance
- dental insurance
- life insurance
- disability insurance
- hospital indemnity insurance
- critical illness insurance
- accident insurance
- parental leave
- family services benefits
- backup dependent care
- flexible spending accounts
- telemedicine
- pet adoption reimbursement
- employee assistance program
- 10% off pet insurance
- 20% off at Chewy.com
- unlimited PTO (subject to manager approval)
- six paid holidays per year
- paid sick and family leave in compliance with applicable state and local regulations
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What This Job Offers
Job Type
Full-time
Career Level
Senior
