Senior Machine Learning Engineer

Posted 21 Hours Ago
Be an Early Applicant
Remote
5-7 Years Experience
Information Technology • Software • Consulting
The Role
The Senior Machine Learning Engineer will develop, deploy, and optimize NLP and other AI/ML models, collaborate with a team of engineers, ensure robust deployment of models using cloud-based platforms, mentor junior team members, and establish machine learning engineering best practices.
Summary Generated by Built In

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.

Top Skills

Python
The Company
Burlington, MA
1,437 Employees
On-site Workplace

What We Do

Keeping People Safe and Businesses Running. Faster.

Everbridge, Inc. (NASDAQ: EVBG) is a global software company that provides enterprise software applications that automate and accelerate organizations’ operational response to critical events in order to Keep People Safe and Businesses Running™. During public safety threats such as active shooter situations, terrorist attacks or severe weather conditions, as well as critical business events including IT outages, cyber-attacks or other incidents such as product recalls or supply-chain interruptions, over 5,300 global customers rely on the company’s Critical Event Management Platform to quickly and reliably aggregate and assess threat data, locate people at risk and responders able to assist, automate the execution of pre-defined communications processes through the secure delivery to over 100 different communication devices, and track progress on executing response plans.

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