(Senior) Machine Learning Engineer (f/m/d)

Who we are

Codepan is a boutique AI Lab building cutting-edge, AI-driven products and solutions.

We believe in augmenting humans with smart algorithms and look for technologies that co-exist, augment and enhance, rather than replace, humans.

Codepan is pioneering in building the AI Operating System of the future to enable organizations to build and scale Machine Learning products. Our mission is to transform the way organizations use data and technologies to harness the true potential AI holds.

We seek exceptional minds, creative thinkers and proactive doers to join us on this fascinating journey. Are you one of them? Come and join us!

We offer you...

• a focused, innovative and collaborative environment that leverages diverse perspectives
• a place to thrive through autonomy, challenging tasks, work on latest technology trends as well as collaboration with industry leaders and experts
• a unique opportunity to co-create the future of AI in pioneering an AI Operating System
• a company culture built on integrity, trust, joy, openness and passion
• a flexible schedule and remote working opportunity
• an attractive compensation package and various employee benefits
• regular socials and fun team events, including hackathons
• a beautiful office in a waterfront repurposed warehouse in Berlin-Kreuzberg

Tasks

About the Role

We are looking for a pragmatic self-starter to work with a cross-functional team of software- and data scientists who enjoys hands-on involvement in building innovative technology products and solutions.

As a part of the team, you will...

• work closely with our Product Managers, Data Scientists and Technical Leadership and contribute to product development from the design stage through to delivery
• deliver high quality applications to our customers, with a focus on stability and scalability
• collaborate with your team to analyze requirements and customer wishes to bring them to a successful conclusion
• be responsible for the whole lifecycle of existing applications, having code reviews as well as writing custom python code managing data going in and out of applications as well as maintaining API s
• participate in the design, planning and development of new and additional features using cutting-edge technologies and frameworks in a service-oriented platform

Requirements

In terms of skills and experience, you have

• a minimum of 2 years of professional experience working as a Machine Learning Engineer or comparable
• a University degree in Computer Science, Engineering, or equivalent practical experience
• knowledge of and interest in the field of data science and machine learning research (with a particular focus on NLP), including academic literature and industry tools
• ability to quickly prototype as well as to write production-ready code
• strong experience with Python and the wider corresponding ecosystem
• knowledge of recent infrastructure ecosystems including cloud technology providers, Kubernetes, infrastructure automation, and can work independently on such environments
• experience in working with agile methods
• ability to communicate effectively with clients and identify relevant needs of a client
• proficient written and spoken English language skills

Benefits

How we work, collaborate and recharge

We think that collaborating in a diverse and psychologically safe environment is the prerequisite for fruitful and innovative work. We celebrate a culture built on learning, passion and joy as well as trust, integrity and openness. We pride ourselves on working together with industry leaders and experts with whom we create sustainable solutions for people & organizations.

To juggle daily life, we enjoy a hybrid setup with a beautiful waterfront office in a repurposed warehouse in Berlin-Kreuzberg.

Among others, you may also enjoy to

• Thrive with free access to Udemy
• Treat yourself well with our Calm & Urban Sports Club subscription and
• Relax with up to 31 days off/vacation
• German classes

Curious? Come join us! Julia Reuthe is looking forward to receiving your application or answering your questions.