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Senior Machine Learning Engineer

EXTRA PARENTAL LEAVE

Remote:

Full Remote

Contract:

Full time

Salary:

138 - 185K yearly

Experience:

Senior (5-10 years)

Work from:

Canada

Offer summary

Qualifications:

Master's degree in a technical field or equivalent experience, 5+ years of experience developing NLP models, 5+ years of Python programming experience, 3+ years with machine learning frameworks like PyTorch or TensorFlow, Strong experience with cloud ML deployment and data processing frameworks.

Key responsabilities:

Develop, deploy, and optimize AI/ML models
Collaborate on data models and pipelines for real-time capabilities
Design scalable ML platforms and workflows for deployment
Ensure robust deployment using cloud platforms
Mentor junior members and promote MLOps best practices

Everbridge Large https://www.everbridge.com/

1001 - 5000 Employees

See more Everbridge offers

Job description

Your missions

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.