Senior Machine Learning Engineer
Top Benefits
About the role
Who you are
- 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 (knowledge of Elixir is a bonus)
- 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, etc
- 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 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 with across teams
- 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. Ability to design large scale solutions and effectively drive the implementation work across teams and products to solve big customer challenges
- History of presenting technical work at industry conferences, workshops, or meetups, with a demonstrated enthusiasm for sharing knowledge and engaging with the broader MLE community
- Experience leveraging AI tools and techniques to enhance development workflows, automate routine tasks, and improve overall engineering productivity
What the job involves
- 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
- We expect you to 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
- This is a very senior position that requires strong skills in communication, cross team collaboration and technical leadership ability
- You will be working on high-impact / high-visibility projects and have the opportunity to apply your knowledge to help shape how we enable our various products to leverage the latest machine learning and generative AI capabilities
- You’ll succeed by being an effective team player, independently managing time, and demonstrating emotional intelligence as you navigate stakeholder relationships championing and scoping our cross-team initiatives
- 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
Benefits
- 20 hours per year of paid volunteer time
- Health insurance
- Wellness Days and mid-year Wellness Week: extra time off for whole company to unplug and recharge at the same time
- Generous paid parental leave and return to work policy to help with transition back
- Generous paid time off
- Hands-on career and leadership development programs
- Flexible workplace/WFH
About PagerDuty
In an always-on world, teams trust PagerDuty to help them deliver an optimal digital experience to their customers, every time. PagerDuty is the central nervous system for a company’s digital operations. We identify issues and opportunities in real-time and bring together the right people to respond to problems faster and prevent them in the future. From digital disruptors to Fortune 500 companies, over 18,000 businesses rely on PagerDuty to help them continually improve their digital operations—so their teams can spend less time reacting to incidents and more time building for the future.
Dutonians believe that we are a part of a bigger movement of businesses being built to benefit everyone—the customer and the employee, as well as our community. We are go-getters fueled by the fire to reinvent how people and companies work together. We take the lead and get creative to be first in the hearts of our customers. Whether it’s keeping the world on or changing it entirely, Dutonians are fueled by the fire to reinvent how people and companies work together to deliver in real-time, across the globe.
Join us to lead uncharted efforts and reinvent how companies run.
Senior Machine Learning Engineer
Top Benefits
About the role
Who you are
- 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 (knowledge of Elixir is a bonus)
- 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, etc
- 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 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 with across teams
- 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. Ability to design large scale solutions and effectively drive the implementation work across teams and products to solve big customer challenges
- History of presenting technical work at industry conferences, workshops, or meetups, with a demonstrated enthusiasm for sharing knowledge and engaging with the broader MLE community
- Experience leveraging AI tools and techniques to enhance development workflows, automate routine tasks, and improve overall engineering productivity
What the job involves
- 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
- We expect you to 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
- This is a very senior position that requires strong skills in communication, cross team collaboration and technical leadership ability
- You will be working on high-impact / high-visibility projects and have the opportunity to apply your knowledge to help shape how we enable our various products to leverage the latest machine learning and generative AI capabilities
- You’ll succeed by being an effective team player, independently managing time, and demonstrating emotional intelligence as you navigate stakeholder relationships championing and scoping our cross-team initiatives
- 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
Benefits
- 20 hours per year of paid volunteer time
- Health insurance
- Wellness Days and mid-year Wellness Week: extra time off for whole company to unplug and recharge at the same time
- Generous paid parental leave and return to work policy to help with transition back
- Generous paid time off
- Hands-on career and leadership development programs
- Flexible workplace/WFH
About PagerDuty
In an always-on world, teams trust PagerDuty to help them deliver an optimal digital experience to their customers, every time. PagerDuty is the central nervous system for a company’s digital operations. We identify issues and opportunities in real-time and bring together the right people to respond to problems faster and prevent them in the future. From digital disruptors to Fortune 500 companies, over 18,000 businesses rely on PagerDuty to help them continually improve their digital operations—so their teams can spend less time reacting to incidents and more time building for the future.
Dutonians believe that we are a part of a bigger movement of businesses being built to benefit everyone—the customer and the employee, as well as our community. We are go-getters fueled by the fire to reinvent how people and companies work together. We take the lead and get creative to be first in the hearts of our customers. Whether it’s keeping the world on or changing it entirely, Dutonians are fueled by the fire to reinvent how people and companies work together to deliver in real-time, across the globe.
Join us to lead uncharted efforts and reinvent how companies run.