Senior Machine Learning Engineer
Senior Machine Learning Engineer
This job is no longer open
This position is fully remote, however candidates need to be located in BC, Ontario or Quebec.
The Everbridge Critical Event Management (CEM) AI/ML team powers intelligence products to enable decision-makers to detect risks from actual or emerging threats to personnel, facilities, supply chain, and technology. We are looking for a Senior Machine Learning Engineer to join our team of ML, Software and Data engineers.
What you'll do:
- Develop, deploy, and optimize NLP and other AI/ML models powering Everbridge’s risk intelligence automation tools and CEM analytics, planning, and forecasting products
- Partner with a group of ML, software, and data engineers to define data models, acquire data sets, and build data pipelines necessary to power real-time data and analytics product capabilities
- Collaborate with software and data engineers to design and implement scalable machine learning platforms and workflows for seamless deployment and monitoring.
- Ensure models are robustly deployed using cloud-based platforms such as AWS SageMaker, and integrate with tools like Snowflake for data management and processing.
- Mentor junior team members and establish machine learning engineering best practices, including a strong focus on MLOps principles (continuous integration, continuous delivery, monitoring).
What you'll bring:
- Master's degree in a technical field (or equivalent work experience)
- 5+ years of experience developing and deploying NLP models (e.g. BERT, BART, DistilBERT) in production
- 5+ years of experience programming with Python in a production setting
- 3+ years of hands-on experience with machine learning frameworks (e.g. PyTorch, TensorFlow)
- Strong experience in deploying machine learning models using cloud platforms (e.g., AWS SageMaker, Azure ML)
- Strong computer science, machine learning, and MLOps fundamentals
- Experience with distributed data processing frameworks (e.g. Spark, Storm) and working with data platforms like Snowflake
- Experience with Docker, Kubernetes, and Airflow for managing deployments and pipelines
- Familiarity with GPU computing (i.e., CUDA and cuDNN)
The reasonably estimated salary for this role at Everbridge ranges from $138,000 - $185,000 and may also include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Everbridge offers a wide range of best-in-class, comprehensive and inclusive employee benefits for this role including healthcare, dental care, mental health benefits, disability income benefits, life and AD&D insurance, retirement savings plan with employer match, and paid time off.
This job is no longer open