Machine Learning Engineer / Data Scientist / AI Engineer (Scala)

Salary Competitive

At Hypefactors, we are working together designing and building the best software tools for Public Relations professionals across the globe. Our software is beautiful, data-intense and smart. And our unique data offering and advanced analyses create big business impact for our users.


Our data pipelines dig deep into online news, blogs, social media, TV radio and traditional print from nearly all countries on the planet. We receive double-digit millions media elements each day, with over 100 data points for each media element. These unique data pipelines provide us with an unprecedented opportunity to transform raw data into business advantages for our clients. We collaborate with the IT University of Copenhagen on these data challenges and setting the new frontier in data sciences and AI. 

This position is in the Hypefactors Engineering team and you’ll be reporting directly to the CTO. Our engineering team is technically cross-functional, with expertises in digital design, embedded systems, backend, frontend, mobile, data engineering and data sciences. We function in a DevOps-manner and strive to improve ourselves through process-improvement, adopting and devising best-practices while doing scientific R&D in collaboration with universities.

We look for the kind of engineer who adapts to change and initiates change, thus thriving in an environment characterized by continuous progress. We let our users’ needs push us solving challenging and worthwhile engineering problems.

Key Responsibilities

As an engineer, you’ll participate in the full life-cycle of our tech platform. This means that you’ll be expected to
  • Involve in high-priority account management for identifying business automation and intelligence needs
  • Design, improve and operate AI algorithms utilizing machine learning and probabilistic models
  • Coordinate with fellow-engineers its integration with the backend, frontend and mobile apps
Along the way, you can take up additional responsibilities, such as
  • Mentor graduates and (junior) engineers
  • Manage key product features
  • Strategic technology roadmap planning
  • Engineering data pipelines

Basic Qualifications

  • Scala
  • Applied machine learning and/or probabilistic programming to prior business projects
  • MSc or PhD in computer science, mathematics, statistics, economics or other engineering/sciences

Desirable

  • Experience with data pipeline engineering
  • Natural language processing
  • Experience with hybrid AI solutions using cloud services and in-house models
  • Experience with DevOps fundamentals

Your Application

Instead of a cover letter, please describe your role in the most interesting professional work result where you applied machine learning and/or probabilistic programming. Also inform us of a recent white paper or scientific article in the area of AI or data sciences you’ve read and elaborate why you’ve been fascinated by it. Send this, along with your resume through the Hub.

 

Perks and benefits

This job comes with several perks and benefits

Free lunch
Free lunch

Enjoy a free catered lunch with your colleagues, every day.

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Free friday beers
Free friday beers

Friday is something special, let's enjoy a beer together.

Central office
Central office

Your local office is your anchor point, thus, we placed it centrally at your convenience.

Working at
Hypefactors

At Hypefactors, we work together designing and building the best software tools for media-savvy business professionals across the globe. Our software is exciting, beautiful, data-intense and smart. And our unique big data offering and advanced AI-based analyses create big business impact for our users. Founded in Copenhagen, Denmark, we've formed a small-knitted international team of about 20 people representing over 10 nationalities across the globe. We are unified by the same drivers: passion, diversity and excellence.

Read more about Hypefactors

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