Arbolus is a trusted platform which helps connects people to share their experience
Machine Learning/Data Engineer - Barcelona or UK€35k – €55k • 0.0% – 2.0%
At Arbolus, we believe in the power of sharing experience.
We believe it should be easier for people with experience and knowledge to share it, and easier for businesses to use it.
We are a venture-backed scale-up data business with offices in London, Barcelona and New York. We maintain a community of 10,000+ experts and work for businesses including Fortune 500 companies, global consulting companies and leading investment firms.
- Flexible working
- Competitive compensation
- 2x annual retreats to awesome places
- Mentorship from external ML advisors (PHDs, Industry Leaders)
We are looking for a Machine Learning/Data Engineer to join in a leadership role within our Hyperion team. The Hyperion team is responsible for the matching engine at Arbolus. The team uses relationship data reinforced with crowdsourcing to find the right people to solve a client problem.
It is Arbolus’ mission to deliver 1 million matches by 2022. To do this we need a highly scalable matching engine to support the rest of the business.
We are looking for an entrepreneurially minded machine learning/data engineer, ideally with experience with NLP tools and project management. We’re a fast moving team, so a hacking mentality is encouraged.
What We’re Looking For
A successful candidate should have:
- 5+ years of experience in fast growth business environment
- A proven entrepreneurial interest
- Data infrastructure & analytics pipeline management experience
- Machine learning experience (NLP)
- A hacking mentality
- Project management experience**
Character traits we value
We like to work with people who are:
- High energy
- Take initiative
Meet your team
Arbolus at a glance
Arbolus focuses on Machine Learning, Marketplaces, and Professional Networking. Their company has offices in New York City, London, and Barcelona. They have a small team that's between 11-50 employees. To date, Arbolus has raised $1.8M of funding; their latest round was closed on June 2019.