Junior Machine Learning Engineer

It’s an exciting time to work at Hive Streaming! We have been growing over 100% every year in the last four years and in October 2020, we were recognized as SaaS company of the year in the Nordics.

In these turbulent times, great employee video communication is crucial for enterprises to create engagement and alignment to survive and succeed. At Hive Streaming we are proud to offer a relevant solution to this demand. We help over 100 Fortune 500 companies understand, secure, and optimize their video experience on a daily basis.

We are now looking for a Junior Machine Learning Engineer to join our Lab team at our office in Stockholm.


What is Hive Labs?
The Labs team furthers Hive’s tech capabilities in the core business areas: Optimization, Operations and Analytics. This is achieved internally by developing PoCs, doing in-depth investigations and externally by working on strategic technology with our partners and customers.
The Labs team supports the organization by picking up innovation and initiatives across the product lines while keeping an eye on outside market and research trends. The team has two focus tracks; Video and Networking Systems and Machine Learning.
“This is the future, we work on AI-first products” - Stefanos Antaris, current Engineer in the Labs team at Hive.

What to expect
You can expect an atmosphere of creativity and innovation together with fantastic workplace diversity here at Hive Streaming. Today, we have over 25 nationalities among our 75 co-workers around the globe. You will be the third Support Engineer in the Support EMEA team in Stockholm. You will be the third out of four members of the Labs team. You will be working closely with your team member Stefanos Antaris, who will also be your closest mentor, and with the Team Lead, Mikael Högqvist Tabor, and another Junior Engineer who will start in the role, around the same time as you. Here, taking a coffee over Teams is always a good idea.

The perfect fit for Hive is someone who thinks independently but works collaboratively to solve complex problems.

We will offer you…
An innovative and dynamic customer-centric workplace where we empower one another
Work in a fast-paced scale-up within a global context
Onboarding training and collaboration with experienced colleagues
Development opportunities, since we just keep growing



Working as a Junior Machine Learning Engineer
In the Labs team at Hive, you will improve the Hive’s current products by employing the latest Machine Learning and Deep Learning techniques. Instead of simply applying existing approaches in the company’s data, you will identify their limits and work on novel solutions to fulfill the customers’ needs. You will work closely with your mentor and team member Stefanos, but also with Team Leads and VP in different product lines and engineering teams at Hive. Your focus would be on Machine Learning on our product lines, while driving innovation on new products if we find something interesting. While you will not be forced to invent new algorithms, you are free to explore – if the current is not working and you have a great idea, go for it!

You will…
Apply machine learning to analyze and solve real-world problems across our e-commerce, warehouse and distribution domains
Collaborate with cross-functional teams and stakeholders to help identify, define and explore data science opportunities
Support and drive initiatives across our domains by discovering data insights and helping the team make data-driven decision
Work closely with data engineers to create, launch and maintain machine learning models in production



Previous Experience
BSc/MSc/Ph.D. in a quantitative discipline (such as computer science, math, statistics, engineering, etc)
Preferably a couple of years of relevant experience working for a technology company
Experience in building systems for model training and serving using e.g. TensorFlow, Keras, or PyTorch
Fluency in related programming languages such as Python, R and SQL
Collaborate with software engineers, product managers, designers to design and run experiments, including designing and evaluating new algorithms as well as implementing known algorithms, from either work or master-thesis
Experience from cloud platforms such as AWS, GCP, Azure
You have a critical mindset, in terms of when we should apply ML or not, what type of algorithms, cases we need to solve and what approach we should have
Strong analytical thinking and communication skills



It would be a big plus if you also have a track record of successfully launching machine learning models with improved business results or if have some knowledge of container-based architectures and microservices

The perfect match will be…
A good communicator, seeking first to understand and then to be understood
An initiator, who initiates activities and project independently and get others on board
Problem solver, who loves challenges and comes up with effective and workable solutions to problems
Team Player, who works together as opposed to separately, shares responsibilities and pitches in to help the group get the job done
Result Oriented, who pursues challenging goals and works hard to achieve and adjusts behavior quickly and effectively to meet a goal or overcome an objection


You are aligned and want to live by our Core Values; customer-centricity, innovation, empowerment.

General information
Employment: Full-time
Start: As agreed/Position available now
Salary and benefit: Competitive with subsidized health activities etc.
Location: Franzéngatan 5, Stockholm
Contact information (to the recruiter): recruitment@hivestreaming.com