Senior Machine Learning Engineer, Contentful

Salary not provided

+Stock Options

AWS
Docker
Kubernetes
GCP
Azure
Senior level
Berlin
Contentful

Content management platform

Open for applications

Contentful

Content management platform

501-1000 employees

B2BMarketingContentDigital MediaSaaSAPI

Open for applications

Salary not provided

+Stock Options

AWS
Docker
Kubernetes
GCP
Azure
Senior level
Berlin

501-1000 employees

B2BMarketingContentDigital MediaSaaSAPI

Company mission

To modernize how content flows by leading the transition from legacy CMS to content infrastructure.

Role

Who you are

  • 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

Desirable

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

What the job involves

  • 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
  • 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

Our take

Creating, distributing and managing digital content can be complex, time-consuming and difficult, especially at scale. Contentful solves this problem by centralizing all content management into one API-based system.

Since founding in 2013, Contentful has grown to become one of the largest companies of its kind. It now serves thousands of customers, many of which are enterprises such as Danone and Bang & Olufsen. Importantly, the company has continued to improve its offering, for example by partnering with eSSENTIAL Accessibility to offer a way for users to achieve ADA compliance.

In recent years, Contentful has grown its executive team, attracting top talent from companies like Zendesk and Atlassian which has helped to accelerate its ambitious growth strategy. It has also expanded its relationship with AWS, launching the Contentful Composable Content Platform in AWS Marketplace, a key move that will help to broaden its reach and ensure it remains a key player in the competitive CMS market.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

10% employee growth in 12 months

Company

Employee endorsements

Diversity is a priority

"I really like the no-nonsense approach to D+E+I in Contentful. We employ people from over 70 nationalities, there are a lot of grassroots employee..."

Funding (last 2 of 8 rounds)

Jul 2021

$175m

SERIES F

Jun 2020

$80m

SERIES E

Total funding: $334.3m

Company benefits

  • Full-time employees receive Stock Options for the opportunity to share in the success of our company
  • Generous amount of paid time off, including vacation days, education days, and volunteer days
  • Use your personal education budget to improve your skills and grow in your career
  • Enjoy a full range of virtual events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
  • Use your physical fitness budget to get away from your desk and support your physical wellness
  • A monthly phone/internet stipend and phone upgrade reimbursement after 2 years
  • Plus, Contentful socks! And other amazing swag as part of company events. Oh yeah!
  • Access to our Employee Assistance Program (EAP) for information, support, discussion, and counseling for life’s challenges

Company values

  • Be humble - We are not centered on ourselves, but focus on the needs and contributions of others around them
  • Embody a growth mindset - We believe in our collective potential to develop and evolve through dedication and continuous learning
  • Start with the customer and work backwards - The first question we ask is “What customer need does this solve?” and treats each customer with empathy
  • Strive together - Creating anything of significance without collaboration is challenging, so we work hard together to make an impact

Company HQ

Brunnenviertel, Berlin, Germany

Leadership

Previously worked as Senior Developer at AutoScout24, and Senior Developer Team Lead at Wooga.

Sascha Konietzke

(CSO & Board Member)

Previously worked as EMEA Manager at Hewlett-Packard, and founded a range of companies including angel investment firm Ko9.

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