Qureos Mentor

PagerDuty

<div><div>PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.

Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world&mdash;all in a flexible, award-winning workplace.</div>
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. Be a key team member and help continue to drive the AI First future of PagerDuty.

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.
<h3 class="jobSectionHeader">
How you contribute to our vision: Key Responsibilities</h3>
<ul><li>Build and improve the capabilities that enable and accelerate our machine learning (ML), generative and agentic AI based products</li>
<li>Partner with applied scientists and product teams, effectively sharing engineering context and working together to support larger initiatives</li>
<li>Provide guidance, technical leadership, and mentoring to junior members of the team</li>
<li>Understand how our products are used and proactively lead the delivery of improvements and enhancements based on customer feedback</li>
<li>Remain current on the latest ML engineering developments, incorporating new solutions to our existing workflow, continuously improving user experience</li>
</ul><h3 class="jobSectionHeader">Basic Qualifications</h3>
<ul><li>7+ years of experience building, designing, and shipping machine learning solutions to production</li>
<li>Experience working with Product teams, ensuring and driving a timely delivery</li>
<li>Proven software development track record with Python (knowledge of Elixir is a bonus)</li>
<li>Demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure</li>
<li>Experience with workflow management tools such as Apache Airflow and AI/ML observability/evaluations products such as Arize, Datadog, etc</li>
<li>Familiarity with ML processes (exploration, training, deployment), technologies (services, packages), infrastructure (AWS), ML techniques (e.g., natural language processing, deep learning, generative AI)</li>
<li>Experience with with pre-trained Large Language Models (LLMs) and AI agents in a production environment</li>
<li>Passionate about data/ML engineering and displaying effective communication when conveying technical concepts and collaborating with across teams</li></ul> 

<h3 class="jobSectionHeader">
Preferred Qualifications</h3>
<ul><li>Familiarity with container orchestration systems (e.g., Kubernetes)</li>
<li>Ability to think through a complex problem, build a solution, and execute that solution with effective change management skills</li>
<li>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</li>
<li>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</li>
<li>Experience leveraging AI tools and techniques to enhance development workflows, automate routine tasks, and improve overall engineering productivity</li></ul> 


The base salary range for this position is 150,000 - 252,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.<div>
Hesitant to apply?

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts!

Where we work

PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

Location restrictions: 
Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia 
Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon 
United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming 
Candidates must reside in an eligible location, which vary by role.

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:
<ul>
<li>Competitive salary</li>
<li>Comprehensive benefits package from day one</li>
<li>Flexible work arrangements</li>
<li>Company equity*</li>
<li>ESPP (Employee Stock Purchase Program)*</li>
<li>Retirement or pension plan*</li>
<li>Generous paid vacation time</li>
<li>Paid holidays and sick leave</li>
<li>Dutonian Wellness Days &amp; HibernationDuty - companywide paid days off in addition to PTO</li>
<li>Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*</li>
<li>Paid volunteer time off: 20 hours per year</li>
<li>Company-wide hack weeks</li>
<li>Mental wellness programs</li>
</ul>
<ul><li>Eligibility may vary by role, region, and tenure</li></ul>

About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses

PagerDuty is Great Place to Work-certified&trade;, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.

Go behind-the-scenes on our careers site and @pagerduty on Instagram.

Additional Information

PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.

PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.

PagerDuty uses the E-Verify employment verification program.</div></div>

Senior Machine Learning Engineer - AI First Group

Join PagerDuty and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

PagerDuty

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Senior Machine Learning Engineer - AI First Group