Senior Software Engineer – Machine Learning (f/m/d)

NLP PEOPLE; Dublin; On-site; EUR 80,000 - 100,000; Full time

Benefits offered by this job

Stock options

Flexible time off

Personal education budget

Wellbeing stipend

Communication stipend

New hire equipment stipend

Job summary

Contentful is seeking a Senior Software Engineer – Machine Learning in Dublin, Ireland. This role requires a proven technical leader with experience in ML and LLM deployment. Responsibilities include optimizing ML workloads, designing software systems, and driving team education on ML standards. Full-time employees receive stock options, generous benefits for family support, and a strong focus on work-life balance. Join us in reshaping digital experiences with innovative AI solutions.

Qualifications

• Proven experience as a technical leader in a product software development environment.
• Experience in model development and deploying LLM-based models.
• Solid understanding of machine learning principles.
• Familiarity with cloud services.

Responsibilities

• Measure and ensure the high-quality output of ML workloads.
• Design, build, and measure production software in the platform.
• Conduct research and testing using tools like Jupyter Notebook.
• Optimize AI products for accuracy, speed, and scalability.

Skills

Technical leadership

Model development

Distributed systems

Machine learning principles

Docker

Kubernetes

Problem-solving

LLM development

Tools

AWS

Azure

GCP

Job description

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer – Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you’re passionate about pushing the boundaries of what’s achievable with ML products on a large scale content management system, we want you on our team.

What to expect?

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large‑scale use cases.
• Integrate prompt engineering and fine‑tuning for customer use cases.
• Develop software that scales to meet the demands of high‑load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment.
• Proven track record in model development, including successfully developing and deploying LLM‑based models for various NLP tasks in real‑world applications with production workloads.
• Proven ability to work backwards from customer needs to deliver ML‑based features that meet those needs.Ability to organize and prioritize competing workloads.
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP).
• Solid understanding of machine learning principles.
• Experience with container frameworks such as Docker or Kubernetes.
• Constructive problem‑solving: As a natural problem‑solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up‑to‑date on the latest updates on LLM development & research: From RAGs to open‑source models over agent architectures – you have an inherent drive to stay up‑to‑date on what is the latest and greatest.

Preferred

• Background includes machine learning and AI implementation.
• Ability to translate a research paper into a PoC if the code does not exist.

What’s in it for you?

Join an ambitious tech company reshaping the way people build digital experiences.

• Full‑time employees receive stock options for the opportunity to share in the success of our company.
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value work‑life balance and “You Time!” A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days.
• Time off to care for and focus on your growing family.
• Use your personal annual education budget to improve your skills and grow in your career.
• Enjoy a full range of virtual and in‑person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties.
• An annual wellbeing stipend to care for your physical, financial, or emotional health.
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Who are we?

Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real‑time experimentation, powering next‑generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.

Equal Opportunity Employer

Everyone is welcome here! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!