Boost.ai is a software company and developer of the world’s most scalable conversational AI platform for enterprises. We specialize in building automated interactions for chat and voice designed to improve customer service and internal support channels.
 
Since our beginnings in 2016, we have gone global with about 130 employees spanning multiple countries. We are headquartered in Stavanger, Norway, with offices in Oslo, Stockholm, Copenhagen, Helsinki, London, and Los Angeles.
 
Our list of accomplishments to date includes:
  • Launching more than 500 virtual agents in EMEA and North America that automate millions of interactions every year.
  • Recognition by Gartner in their Magic Quadrant for Enterprise Conversational AI Platforms.
  • Establishing partnerships with leading firms like Deloitte, Accenture, KPMG, and more.
  • Achieving ISO 27001 & 27701 certification.
The boost.ai platform is trusted by brands and organizations like Santander, Telenor, DNB, Nordea, and many others to help create dynamic and engaging automated experiences, with a focus on delivering superior customer service, boosting sales, and streamlining business operations.
 
We firmly believe that the success of boost.ai is attributed to our brilliant and dedicated team of individuals who challenge the status quo and take initiative, embodying our people philosophy of rewarding attention, responsibility, and trust. We have a strong and clear commitment to equality, diversity, and inclusion. It is our policy that all eligible persons shall have equal opportunity for employment and advancement in the company on the basis of their ability, qualifications, and aptitude for the work. We welcome all qualified candidates to apply for this position regardless of gender, gender identity, religious beliefs, sexual orientation, age, or disability.
 
Our employees are encouraged to explore new ideas and are provided with the support and resources to thrive, nurturing, guiding, and challenging them to reach their full potential. Together, with our tech and talent, we are committed to making the world a little easier to live in, creating innovative solutions that positively impact our industry.
 

About the role:

As a Machine Learning Support Engineer, you will play a crucial role in optimizing our internal processes, allowing other team members to focus their efforts on development work. Your tasks will revolve around monitoring system performance, maintaining our automated test systems, and handling technical customer support via our ticketing platform. You will act as an essential bridge between our customers and the ML team, ensuring smooth communication and efficient issue resolution.

Key Responsibilities:

  • Support ML Team: Assist the ML team by creating datasets for training and testing, as well as developing tools to evaluate algorithms, thereby contributing to the enhancement of our machine learning projects.
  • Ticket Management: Take ownership of tickets by addressing customer inquiries, facilitating discussions, and providing technical assistance. You'll ensure that all tickets contain the necessary information, debug and reproduce minor issues, and escalate complex problems to other team members when needed.
  • Automated Test Systems: Oversee and maintain the automated test systems to ensure they're functioning optimally, identifying and addressing any issues that arise.
  • Sentry Monitoring: Keep an eye on Sentry for new issues, promptly fixing or reporting any findings to the Machine Learning (ML) team to ensure quick resolution.

Please feel free to apply even if you do not tick all the boxes.

Requirements:

  • Education & Experience: Relevant degree in Computer Science, Engineering, or a related field. Proven experience in engineering or support engineering roles, preferably with exposure to machine learning projects.
  • Technical Skills: Strong technical capabilities. Experience with Python development and automated testing, and ability to troubleshoot and resolve technical issues efficiently.
  • Communication Skills: Excellent communication abilities to seamlessly interface between customers, internal customer success people, and our ML team members.
  • Team Player: Ability to collaborate effectively with both technical and non-technical team members to achieve common goals.

What’s in it for you?

  • An engaging work environment with people who share a common mindset; to deliver a world-class product in a brand new, up-and-coming industry.
  • Challenging, varied and engaging work tasks.
  • Room and encouragement to be independent and innovative.
  • In-house gym (Stavanger) and other benefits.

Sounds good?

Please submit your application using the appropriate form - we’re looking forward to hearing from you and what you can bring to our company!

Please note:

  • During the recruitment process, we interview the appropriate candidates quickly and continuously - until we find the right candidate. We recommend that you submit your application as soon as possible.
  • The position requires being able to work on-premise in Oslo or Stavanger, Norway.

Contact person

Peter Leupi

Chief Data Scientist

peter@boost.ai

URL to this pagehttps://boost.ai/company/careers/?rmpage=job&rmjob=195&rmlang=UK