Aktuelle Jobs im Zusammenhang mit Senior Machine Learning Engineer - Berlin, Berlin - Jobs for Humanity


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Senior Machine Learning Engineer

vor 2 Monaten


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

We are seeking an exceptional Machine Learning Engineer to join our team at Contentful, where we are revolutionizing the way people build digital experiences. As a key member of our AI team, you will play a crucial role in designing, building, and deploying real-world AI solutions that drive customer impact.

Our ideal candidate is a seasoned machine learning professional with a passion for pushing the boundaries of what's achievable with ML products on a large-scale content management system. If you're passionate about delivering high-quality output, optimizing generative AI products, and integrating ML cloud solutions, we want to hear from you.

Key Responsibilities
  • 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
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 skills, with a natural ability to bring forward ideas that lead to practical solutions and contribute to product growth.
  • Up-to-date knowledge of the latest updates on LLM development & research.
Preferred Qualifications
  • Background in machine learning and AI implementation.
  • Ability to translate research papers into practical solutions.
What's in it for you?
  • Join a dynamic tech company that's reshaping the way people build digital experiences.
  • Full-time employees receive stock options for the opportunity to share in the company's success.
  • Fertility and family-building benefits, including a lifetime reimbursable wallet to support your growing family.
  • We value work-life balance and offer 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.