Senior Machine Learning Engineer

As a Modulai Senior ML Engineer you will be responsible to lead your team in solving some of the worlds most challenging problems in applied ML. You will lead by walking the talk of applied ML.
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As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. As a senior you will be responsible for team success.

As a senior you work to engage clients and team from early idea phase to execution. We believe you have a track record of successfully developing en-to-end ML products, leading teams in commercial as well as delivery settings. We also see that you have passion for ML and opinions on how succeed in applied ML. For us a lead is not a formal title, rather a responsibility to help others to be even more successful. You will also be part of developing Modulai.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data, and then re-formulating it as an ML problem. It requires openness, creativity, and an eagerness to learn new methodology and explore new terrains.

We approach these problems as a team where great leaders are essential, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the team as well as clients, investors, and others.


  • Helping the team to succeed
  • Identifying and executing on opportunities (new business, new products)
  • Challenge and inspire the team in state of the art applied ML
  • Analyzing and planning problem, solution, and delivery
  • Preprocessing, feature engineering, and dataset creation
  • ML model development
  • Validation of results
  • Data pipelining and infrastructure development

Our Stack

  • Python – standard open-source libraries
  • Scikit-learn and various specialized Python and R ML libraries
  • Deep learning frameworks such as Pytorch and Tensorflow/Keras
  • Cloud platforms such as GCP, AWS, Azure
  • Relational database management systems
  • Distributed processing such as Apache Spark

Background & Skills

  • MSc or Ph.D. in a quantitative field
  • Experience from leading end-to-end ML projects
  • Excellent communicator (IRL, blog, events etc)
  • Excellent understanding of a broad set of ML algorithms and frameworks
  • A passion for lean, clean, and maintainable code
  • The desire to grow and to share insights with others

Helpful knowledge & Experience

  • Leadership in fast-growing organisations
  • Product experience from idea to MVP and monetization.
  • Deep learning frameworks and theory
  • Data pipelining and infrastructure
  • DevOps experience, CI/CD, Kubernetes

About Team Modulai

At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well as building our own ML products. 

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer with capable scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!


We usually respond within three days

Or, know someone who would be a perfect fit? Let them know!

Drottningtorget 5
411 03 Göteborg Directions View page


Robert Almströmsgatan 9B
113 36 Stockholm Directions 070-4850913 View page

Workplace & Culture

We believe teamwork and learning to be crucial for success.  Besides learning in the teams we run weekly learning breakfast, were we teach each other things that fascinates us. We host a journal club where we read research papers and discuss how to use the state-of-art in machine learning in our daily work. We also organise hackathons and run book circles with the team.

Together we identify product opportunities and develop our own products. This is a great opportunity to see our own ideas taking off and also to learn a lot.

We also believe in strengthening our psychological and physical endurance and balance, we are continuously offering different activities like Yoga and meditation, SUP, walks, kitesurfing and various workout challenges. We are also offer a generous wellness allowance.

We call our headquarter office in central Stockholm headquarters “The Machine Learning Penthouse”. It has two stories,  one for coding and one for meetings and social events. Our Gothenburg office is located close to Avenyn.

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