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For Companies At a Glance
- Tasks: Join the AI revolution by building impactful ML solutions for thousands of customers.
- Company: Contentful, a leading digital experience platform reshaping content management.
- Benefits: Stock options, generous paid time off, and personal education budget.
- Why this job: Push the boundaries of ML in a dynamic, inclusive environment.
- Qualifications: Experience in ML model development and cloud services required.
- Other info: Collaborate with a diverse team and enjoy excellent career growth opportunities.
The predicted salary is between 48000 - 84000 £ per year.
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 machine learning engineer 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.
- You can 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.
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 disability, or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Senior Machine Learning Engineer (f/m/d) employer: Contentful
Contact Detail:
Contentful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (f/m/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Contentful. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving LLMs or generative AI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, especially in ML workloads. We love hearing about real-world applications!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Contentful team!
We think you need these skills to ace Senior Machine Learning Engineer (f/m/d)
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let us see your enthusiasm for machine learning! Share specific examples of projects you've worked on and how they relate to the role. We love seeing candidates who are genuinely excited about pushing the boundaries of ML.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the job description. Highlight your experience with LLM-based models and any relevant cloud services. This helps us see how you fit into our team and the impact you can make!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Contentful.
How to prepare for a job interview at Contentful
✨Know Your ML Stuff
Make sure you brush up on the latest trends in machine learning, especially around generative AI. Be ready to discuss your experience with LLM-based models and how you've applied them in real-world scenarios. This will show that you're not just knowledgeable but also passionate about the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you've faced in model development or deployment and how you overcame them. This will demonstrate your constructive problem-solving abilities and your capacity to drive product growth.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies used at Contentful, such as AWS, Azure, or GCP, and container frameworks like Docker or Kubernetes. Being able to speak knowledgeably about these will show that you're ready to hit the ground running and can integrate seamlessly into their existing systems.
✨Prepare for Design Reviews
Since leading design reviews is part of the role, think about how you would approach this. Be ready to discuss how you would evaluate different technologies and make decisions based on customer needs. This will highlight your leadership skills and your ability to work collaboratively with peers and stakeholders.
