Join Our Team

Who We Are

We are datarabbit – a team of people with a very broad range of competencies related to data, machine learning/AI, and cloud, as well as a passion for the development of all kinds of innovative solutions utilizing them to provide our clients and business partners with competitive advantages and solving their real-world problems.

Obecnie poszukujemy:

Machine learing engineers / researchers

Who we are?

In datarabbit we’re always looking for enthusiasts of creating data related solutions and deploying them to real-world environments. If you are one of them, and would like to develop such solutions in a highly experienced, professional, but at the same time friendly and fun to work with team, feel free to contact us at jobs@datarabbit.ai (even if there are currently no open job postings – we will work something out).

apply

DevOps/backend engineer

Who we are?

In datarabbit we’re always looking for enthusiasts of creating data related solutions and deploying them to real-world environments. If you are one of them, and would like to develop such solutions in a highly experienced, professional, but at the same time friendly and fun to work with team, feel free to contact us at jobs@datarabbit.ai (even if there are currently no open job postings – we will work something out).

apply

Why Join Us

At our company, we uphold high-quality software, fast development iterations, and constant innovation using cutting-edge technologies. At the same time, we offer a collaborative environment where everyone’s ideas and contributions are valued.

Benefits of working with us

Opportunity to work on cutting-edge, and innovative projects

Our company is at the forefront of technology. As a part of our team, you will have the opportunity to work on innovative projects that are regularly utilizing the newest tools and state-of-the-art algorithms to solve real-world problems – on a daily work basis.

Flexible Work Hours

We understand that everyone has different work styles and personal commitments. That’s why we offer flexible work hours to help you balance your personal and professional life.

Collaborative and inclusive work environment

In our work environment, everyone’s contributions are valued, regardless of their background or identity.

Continuous learning and development opportunities

In the fast-paced world of data and AI, continuous learning is a must. That’s why our internal culture is heavily oriented toward knowledge sharing. We also provide numerous opportunities for professional development, including access to online courses, workshops, and attending conferences.

Remote Work Opportunities

We believe that you can do great work from anywhere. We offer remote work opportunities that allow you to work from the comfort of your home.

Team Building Activities

We regularly organize team-building activities and outings – to also hang out with other fellow humans outside of the behind-the-screen situations.

Open Positions

In datarabbit we’re always looking for enthusiasts of creating data-related solutions and deploying them to real-world environments. If you are one of them and would like to develop such solutions in a highly experienced, professional, but at the same time friendly and fun to work with team   feel free to reach out to us (even if there are currently no open job postings – we will work something out).

Here are some of the roles we are
currently hiring for:

Data Rabbit
Location
Remote
‍
Type
Full-time

Experience
Mid

Employment
Mandate, B2B
Description
AI/ML Engineer: Join a remote-first team working on end-to-end AI and data-driven projects in the medical and health tech domain, using tools like PyTorch, AWS, and the scientific Python stack. You'll contribute to solution architecture, algorithm development, data analysis, and MLOps integration, all while having real impact and flexibility. We offer a collaborative, growth-focused environment with flexible hours, a training budget, and knowledge-sharing culture.
Requirements

‍

  • good software engineering skills and practices;
  • being a creative problem solver, really interested in the latest technologies;
  • good communication skills and being a team player;
  • practical experience with data, AI, and machine learning solutions…
  • …as well as familiarity with the theoretical concepts behind them.
  • you’re regularly using GenAI tooling to make your life easier and have an “AI-first” approach.

Stack:

  • Polish - B2
  • English - B2
  • Python - Advanced
  • LLM - Regular
  • Machine Learning - Regular
  • AI Agents - Junior
  • PyTorch - Junior
  • scikit-leatn - Junior
  • AWS - Junior

‍

Nice to have
  • education: Bachelor’s, Master’s, or PhD degree in Computer Science, Biomedical engineering, Electrical and Computer Engineering, or any other related field;
  • knowledge on domain-specific medical systems, standards, and formats (HL7, DICOM, etc);
  • practical use of Pytorch and Deep Learning libraries;
  • knowledge of workflow management tools like make or n8n;
  • scientific Python stack (Pandas, NumPy, SciPy, scikit-learn);
  • version control software (Git or equivalent);
  • hands-on experience with AWS services;
  • you’re currently residing in (or willing to relocate to) Poznań, Poland;
  • experience with Terraform.

‍

What will you do?

Work on end-to-end data-driven projects, during which you will:

  • help on architecting the solutions to solve actual problems;
  • conduct research and development of AI algorithms;
  • dealing with data analysis and driving insights from it;
  • integrating built solutions into applications and systems to allow them to deliver value;
  • ensuring that the solution works correctly throughout the whole MLOps lifecycle;
  • sharing your knowledge and findings (and some memes on the occasion) with others.

‍

Benefits:

  • actual influence on the projects and products – you won’t be just a cog in the machine;
  • huge opportunity for personal growth – from learning new and diverse skills, attending and speaking at conferences, to publishing research papers;
  • fully remote position (full-remote approach is embedded in the company DNA);
  • dedicated training budget;
  • flexible working hours (you need to handle an appointment, drop a kid to daycare, etc – no problem);
  • no Fruity Thursdays – but we have tech Fridays when we share knowledge instead.

How to Apply

Interested in joining our team? Simply send a message with your resume to jobs@datarabbit.ai. We look forward to hearing from you!

Note: We are an equal-opportunity employer and encourage applications from all qualified individuals.

Join us and be a part of the future of Machine Learning! 🚀

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