Senior Machine Learning Engineer, PagerDuty
AI First Group
CA$137-207k
Digital operations management platform
Be an early applicant
Digital operations management platform
1001+ employees
Be an early applicant
CA$137-207k
1001+ employees
Company mission
To revolutionize operations and build customer trust by anticipating the unexpected in an unpredictable world.
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
Desirable
- 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
Our take
PagerDuty helps businesses monitor their tech stacks, manage incidents and alert engineers when things go wrong. Serving more than 10,500 enterprises including customers like GE, Capital One, IBM and Spotify, the company has become a key player in the space.
While it’s best known for its alerting capabilities, PagerDuty has expanded well beyond that over the years, though it’s still a core part of its service. For example, the company released AIOps services that aim to help businesses reduce the amount of noisy and unnecessary alerts. All-in-all, PagerDuty has become an essential product for DevOps teams, which has greatly contributed to its success.
In 2022, the company was recognized in the Regional and Global AWS Partner Awards as playing a key role in driving innovation and building solutions for the space. Off the back of post-IPO funding, it has continued to release new features and update its core products, towards proving cutting-edge services into the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Sep 2018
$90m
SERIES D
Apr 2017
$43.8m
SERIES C
Total funding: $173.6m
Company 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
Company HQ
SoMa, San Francisco, CA
Leadership
Alex Solomon
(GM (Platform))Previously an Engineer at Amazon. Was also CEO at PagerDuty for 10 years
Salary benchmarks
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