We’re always looking for top talent.

WHO WE ARE

RaRe Technologies is a consulting firm specializing in the architectural design and development of Data Mining
and Machine Learning systems for discerning international clients.

With a roster that includes top PhDs, seasoned engineers and industry thought leaders,
we merge theory and practice to find pragmatic solutions.

OPEN POSITIONS

 Job Description:

Does building “intelligent” systems excite you?
Do you have proven experience in Machine Learning and software engineering?
Can you go beyond theory and build practical, pragmatic solutions?

This is your opportunity to join a tightly-knit, world-class team of top PhDs, data scientists and engineers at the forefront of Machine Learning developments.

Our office is in Brno, Czech Republic. Remote work possible too.
Part-time work is possible with a minimum commitment of 20h/week.


Responsibilities:

As part of RaRe’s data science team, you will design, build and integrate Machine Learning systems for international clients.

You will be expected to…

  • Scope technical requirements and conduct problem analysis
  • Build and optimize data processing pipelines
  • Analyse, evaluate, visualize and communicate results
  • Cooperate with our team of human annotators and prepare annotation tasks
  • Integrate machine learning models into production systems

Requirements:

This position calls for self-motivated experts who thrive in busy, collaborative environments and excel at quick, clear communication.

  • Passionate about delivering practical, pragmatic Data Mining solutions
  • A minimum of 3 years hands-on experience in delivering Machine Learning solutions (portfolio required)
  • Strong analytical and development skills: Python and C, or JVM (other languages a plus)
  • Ability to communicate technical solutions effectively with a strong command of English
  • MSc in Computer Science or equivalent

Benefits:
  • You’ll work on cutting-edge Artificial Intelligence applications in various domains (finance, media, cybersecurity…) with a team that includes industry thought leaders and PhDs
  • Competitive salary
  • Remote work (part-time possible)

Apply Now

ARE YOU A FIT?

We’re a highly collaborative team, working together to solve some of the most interesting, complex and rewarding challenges in the industry.
We want to work with people who are…

Passionate

You’re excited at the opportunity to push your skills to the next level and make a meaningful impact as you solve new problems.

Collaborative

You’re at your best when working with a team and thrive in busy, fast-paced environments where others are counting on you.

Accountable

You’re committed to not only doing what’s right, but doing what’s best. You refuse to cut corners or compromise on quality, expecting the best from yourself and from others.

Pragmatic

You’re able to translate theory into practice and you measure an idea by how well it works – not how good it sounds.

Experienced

You’ve demonstrated you can deliver results, and while you never stop learning, you’re confident and ready to hit the ground running.

What position are you interested in?

What experience do you have with machine learning?

Tell us about the work you've done that you're most proud of.
Please explain what you did and why it mattered.

What have been your most impactful work?
Please explain the impact, sharing success metrics where possible.

Where can we find your work?
Please provide URLs with samples of your work (github, articles, twitter…).

Add a cover letter or anything else you think we should know.

Please attach your résumé & relevant CV.
Choose the file

Don’t see a position that’s right for you?

Even if there’s no advertised position, we’ve always got room for talented, passionate people with the right fit.

Use the form below to get in touch and send us your résumé, or shoot us a question at [email protected].

Apply Now

Are you a student trying to break into a career
in data science?

Our Incubator program is a unique opportunity to get hands-on experience and mentorship while collaborating with industry experts.

Learn More