Machine Learning Engineer II New Lisbon

Pager; Lisboa; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Company equity

ESPP

Retirement plan

Paid vacation

Paid holidays

Wellness days

Parental leave

Volunteer time off

Resumo da oferta

PagerDuty is seeking a Machine Learning Engineer to collaborate with data scientists, product managers and engineers to advance Gen AI and ML-powered features in our platform. You will help build and operate ML services and data pipelines powering production-grade capabilities.

Join a hybrid workplace with offices in Lisbon and other cities, contributing to scalable AI solutions while working with cross-functional teams across the business.

Qualificações

• 3+ years of experience building, designing, and shipping ML solutions to production.
• Proven software development track record with Python.
• Experience with data modeling, ETL, unstructured data, and cloud-based data tools.
• Ability to build infrastructure for data exploration, model training and deployment.

Responsabilidades

• Build and accelerate ML/genAI production capabilities.
• Collaborate with data scientists and product teams to support initiatives.
• Adopt best practices to ship ML capabilities to production.
• Continuously optimize workflows and reduce technical debt.

Conhecimentos

Python

Machine Learning

ML in production

Data modeling

ETL

Unstructured data

Cloud data infra

Data pipelines

Ferramentas

Kubernetes

Cloud platforms

Descrição da oferta de emprego

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

PagerDuty is looking for a 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 and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands‑on to the development of the services and pipelines that enable multiple ML/AI features in our product.

You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set.

Key Responsibilities

• Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions
• Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives
• Incorporate the best available techniques and practices to how we ship machine learning capabilities to production
• Commit to continuously optimizing our workflows and reducing technical debt

Basic Qualifications

• 3+ years of experience building, designing, and shipping machine learning solutions to production
• 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 tools
• Ability to stand up infrastructure building blocks to enable ML processes like data exploration, model training and deployment)

Preferred Qualifications

• Experience working with Product teams, ensuring and driving a timely delivery
• Exposure to large language models / Generative AI and understanding of the capabilities and use‑cases for that technology
• Ability to develop and ship machine learning services using container orchestration systems such as kubernetes

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:

• 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 (some countries have longer leave standards and we comply with local laws)*
• Paid volunteer time off: 20 hours per year
• Mental wellness programs

*Eligibility may vary by role, region, and tenure

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™, 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 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 [e-mail] and we will work with you to meet your accessibility needs.

PagerDuty uses the E-Verify employment verification program.