Senior Machine Learning Engineer, PagerDuty

PagerDuty

Location:
United States, Atlanta

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

150000.00 - 252000.00 USD / Year

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Job Description:

We are looking for a senior-level machine learning engineer who is passionate about collaborating with data scientists, product managers, and engineers alike. As part of our team, you will help us accelerate the development of new and extension of existing products powered by AI and Machine Learning. You will lead the design and deployment of solutions to host our AI agents, models, and services in production, in alignment with our design patterns and best practices to support the business.

Job Responsibility:

build and improve the capabilities that enable and accelerate our machine learning (ML), generative and agentic AI based products
partner with applied scientists and product teams, effectively sharing engineering context and working together to support larger initiatives
provide guidance, technical leadership, and mentoring to junior members of the team
understand how our products are used and proactively lead the delivery of improvements and enhancements based on customer feedback
remain current on the latest ML engineering developments, incorporating new solutions to our existing workflow, continuously improving user experience.

Requirements:

7+ years of experience building, designing, and shipping machine learning solutions to production
experience working with Product teams, ensuring and driving a timely delivery
proven software development track record with Python
demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure
experience with workflow management tools such as Apache Airflow and AI/ML observability/evaluations products such as Arize, Datadog
familiarity with ML processes (exploration, training, deployment), technologies (services, packages), infrastructure (AWS), ML techniques (e.g., natural language processing, deep learning, generative AI)
experience with pre-trained Large Language Models (LLMs) and AI agents in a production environment
passionate about data/ML engineering and displaying effective communication when conveying technical concepts and collaborating across teams.

Nice to have:

familiarity with container orchestration systems (e.g., Kubernetes)
ability to think through a complex problem, build a solution, and execute that solution with effective change management skills
strong sense of ownership and accountability
history of presenting technical work at industry conferences, workshops, or meetups
experience leveraging AI tools and techniques to enhance development workflows, automate routine tasks, and improve overall engineering productivity.

What we offer:

competitive salary
comprehensive benefits package from day one
flexible work arrangements
company equity
ESPP (Employee Stock Purchase Program)
retirement or pension plan
generous paid vacation time
paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent
paid volunteer time off: 20 hours per year
company-wide hack weeks
mental wellness programs.

Additional Information:

Job Posted:
September 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Machine Learning Engineer