At a Glance
- Tasks: Join us to build innovative ML solutions that make a real impact for our customers.
- Company: Be part of Contentful, a leading digital experience platform driving the AI revolution.
- Benefits: Enjoy stock options, generous paid time off, and a personal education budget.
- Why this job: Push the boundaries of ML in a dynamic environment with a focus on innovation.
- Qualifications: Experience in ML model development and a passion for cutting-edge technology.
- Other info: Join a diverse team committed to inclusivity and professional growth.
The predicted salary is between 48000 - 72000 ÂŁ 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!
“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.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.
Senior Machine Learning Engineer (f/m/d) employer: PowerToFly
Contact Detail:
PowerToFly 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 people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that highlight your experience with LLMs and generative AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and recent trends. Be ready to discuss your past projects and how they align with the role at Contentful. Practice makes perfect!
✨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 you're writing your application, let your enthusiasm for machine learning shine through! 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 what's possible with ML.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight your experience with LLM-based models and any relevant cloud services you've used. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where appropriate and avoid jargon unless it's necessary. We appreciate straightforward communication, so make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Contentful!
How to prepare for a job interview at PowerToFly
✨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 Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you 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.
✨Understand Customer Needs
Be ready to talk about how you've worked backwards from customer needs to deliver effective ML solutions. Highlight any experiences where you translated customer feedback into actionable features. This shows that you can align technical work with business goals, which is crucial for this role.
✨Familiarise Yourself with Tools
Get comfortable with tools like Jupyter Notebook, Docker, and Kubernetes. If you have experience with cloud services like AWS or GCP, be prepared to discuss how you've used them in your projects. This will help you stand out as a candidate who can hit the ground running.