Artificial Intelligence Scientist

Arbetsbeskrivning

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 Nordic.

In these turbulent times, great employee video communication is crucial for enterprise companies to create engagement and alignment to survive and succeed. At Hive Streaming we are proud to offer an industry-leading solution to this demand. We help multiple Fortune 500 customers analyze, secure, and optimize their video experience on a daily basis.

We are growing our Artificial Intelligence team and looking for our new Artificial Intelligence Scientist at our office in Stockholm. We believe in a hybrid workplace which means you will both work remotely (from home) but also from the office at Kungsholmen.



What is Hive Artificial Intelligence team?

The Artificial Intelligence (AI) team at Hive is responsible for accelerating our existing and future products with novel algorithms that focus on machine learning. Our main goal is to constantly analyze our customers’ data, design and apply state-of-the-art machine learning and deep learning models that capture their behavior, and provide actionable recommendations.

The team of scientists and engineers are curious and self-driven to explore new algorithms and propose novel models that solve problems as no one has ever tried before. The team works closely with the business stakeholders and other engineering teams to achieve innovation at all levels, while providing scalable solutions that impact thousands of enterprises worldwide.

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 30 nationalities among our 100 co-workers around the globe. The company is in a rapid growth phase and has been expanding its market reach in the last few years. We are proud of our strong innovation roots and constantly strive to improve our solutions and keep our tech stack cutting-edge with always keeping a customer-centric approach. Employee empowerment is key to this process and it is at the heart of our values.

The Perks of Working At Hive:

- Have it your way! At the office, at home, or on the ski slope (…did I go too far?) - your way is the best way, but flexibility is everyone’s way at Hive! 🌎

- Without you = no Hive? We are a fast-paced, global (over 30 nationalities among our 100 co-workers around the globe) scale-up company that empowers every single coworker. Everyone is unique and important for our growth. You will play an important role in the company’s future success 🧡

- You + Massage + Every single week + Your back will love you 🙌 = True! Plus other good benefits as digital kick-off, office fika (maybe too often..?) etc.

- The boring but most important… Salaries are good, insurances are good (and hopefully) you stay good (& healthy!) 🌈





Working as an Artificial Intelligence Scientist

Hive Streaming fosters innovation in all of our products. Our newly formed Artificial Intelligence team is an engineering team that works closely with the Video Analytics product line. Our responsibility is to identify ways of excellence in our products through innovative and novel artificial intelligence algorithms in the area of recommendation systems, graph neural networks, reinforcement learning, and so on. Our main focus is not only on identifying our customers' patterns and behavior, but also to provide actionable insights and recommendations. In doing so, we enable our customers to achieve their short-term and long-term goals by improving their employee's engagement in their video communication platform.

As an Artificial Intelligence Scientist, you will work closely with the business stakeholders and other artificial intelligence scientists and engineers. Besides this, you will be working closely with your Team Lead Stefanos and belong to a team of four (which will grow in the upcoming years).

You will...

- Apply recent and state-of-the-art deep learning and reinforcement learning approaches in the company’s data
- Propose novel models that solve problems of existing state-of-the-art approaches
- Build prototypes and evaluate proposed models on the company’s data
- Read, understand and present scientific papers internally and externally
- Explain the business value of the state-of-the-art, as well as proposed models.


Previous Experience

We are looking for a passionate and curious candidate in the field of deep learning and/or reinforcement learning. We promote each employee to be self-driven and excited to provide innovation in the team. We also believe you have:

- A PhD or Master Degree in machine learning, computer science, physics, or mathematics
- Solid understanding of deep learning and/or reinforcement learning
- Good math skills including, linear algebra, probability theory, and numerical optimization
- Demonstrated contribution to machine learning or reinforcement learning, e.g. in the form of research publications, open-source projects
- Good experience of Pytorch/Tensorflow, Numpy, Pandas
- Fluent proficiency in English, both in speech and writing.


The perfect match will also be…

- A problem solver, who loves challenges and comes up with effective and workable solutions to problems
- Customer-centric, who generates solutions to the customer's needs and exceed their expectations
- Result-oriented who pursues challenging goals and works smartly to achieve them
- An initiator, who initiates activities and project independently and get others on board
- A team player, who shares information and expertise, promotes team effectiveness by facilitating and building on the ideas of others
- Continues Learner who learns from experience and others´ feedback


We hope you are excited about this position at Hive and look forward to your application!



LI-SA

Sammanfattning

  • Arbetsplats: Hive Streaming
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 8 oktober 2021
  • Ansök senast: 27 mars 2022

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