Senior Machine Learning Engineer

Vor 3 Tagen


Berlin, Berlin, Deutschland Jobs for Humanity Vollzeit
About the Opportunity

We are seeking an exceptional Machine Learning Engineer to join our team at Contentful, a leading provider of intelligent composable content platforms. As a key member of our AI solutions team, you will play a critical role in developing and deploying real-world AI solutions for our customers.

As a Machine Learning Engineer at Contentful, you will have the opportunity to work on a wide range of exciting projects, from building and deploying machine learning models to integrating AI solutions with our content management system. You will work closely with our cross-functional teams to design, develop, and deploy AI-powered features that meet the needs of our customers.

Key Responsibilities
  • Design, develop, and deploy machine learning models to solve real-world problems
  • Integrate AI solutions with our content management system to provide seamless customer experiences
  • Collaborate with cross-functional teams to design and develop AI-powered features
  • Conduct research and testing to ensure the high-quality output of ML workloads
  • Optimize AI products for accuracy, speed, and scalability
  • 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
Requirements
  • 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 Qualifications
  • 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 a dynamic and innovative company that is 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


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