ML Engineer

ML Engineer

We’re looking for a curious Machine learning engineer to join our small team and make Kive an indispensable tool for every creative in the world. We care deeply about user experience and ease of use, and put significant focus on top-notch UI and interactions. 


The data team at Kive

The role of the team is to help other teams leverage data to build a better product for our users and help grow our business. Initially you would be expected to work broadly, but as the team and Kive grows there will be potential to go deeper in areas based on interest. You would formally be part of the data team, but would work very closely with tech and other Kive teams to deliver successful projects.


We’re on a mission to make the world more creative and creativity more collaborative.


We genuinely believe that when creativity and technology come together, something close to magic happens. In our opinion, the intersection of creativity and tech is the most exciting space to work in – one that pushes culture and imagination forward.

In this role you will

Design, build, ship, evaluate and refine ML projects in close collaboration with developers and others at Kive


Shape and set up systems, infrastructure, tools and processes for running, training, deploying models in a way that allow us to move fast with confidence


Build and maintain data pipelines for collecting, processing and egesting data needed for your models


Continuously think about and implement ways to improve the productivity of yourself, others at Kive. Always leave Kive’s processes and infra in a slightly better way than you found them


Work with different kinds of data (i.e. image, video, tabular) on a broad range of problems


Not have all tools, data and processes served on a platter. You will instead have to make things happen and set things up together with the rest of us at Kive

What we offer

Competitive salary and an attractive equity program in a start-up funded by top investors Creandum (1st investor Spotify, iZettle, depop) and EQT Ventures (Einride, Sonantic). 🦄

An opportunity to join an early-stage company and influence how we build the company before there are too many processes and structures in place.

A learning environment, with interesting challenges to solve and an ambitious team to support you.

A flexible work setup – work from home or join us in the office located in the heart of Stockholm.

Work in an organisation where data is not an afterthought and a “side interest” but something that is there and has a seat at the table from the start.


You will work in an organisation where the founder is highly driven by data and encourages it being used across the organisation.

You'll be a great fit if

Worked in similar role and start up, early stage company for 4+ years


Are curious about how data, creatives and creativity can interact today and in the future. 


Business oriented - You are more motivated by delivering tangible value to our users than increasing precision of your model by another decimal point 


Like working in a collaborative setting - believe successful data projects is a team sport that requires collaboration across multiple teams


Familiarity with pytorch/tensorflow, bigquery/snowflake, dataform/dbt, beam/spark, airflow/dagster/kubeflow/TFX/Vertex AI


Familiarity with developer tools and processes (i.e. git, peer reviews, CI/CD, unit testing, terraform/pulumi, Docker)


Believe simple is good - if an easy solution to a hard problem exists use that solution and move on to the next problem (there are many where you are needed)

Perks and Benefits

👩🏽‍💼

Business co-ownership

🏃🏽‍♀️

Fitness stipend

👩‍💻

Remote friendly

🤒

No qualifying days

👩‍🎓

Personal learning budget

🥑

Catered breakfast

🥳

Swap public holidays

🎂

Celebration

⛵️

6 weeks paid vacation

💻

The tools you need

Ready to learn more?

Find your next career at Kive, and be part of an adventure to scale.

Ready to learn more?

Find your next career at Kive, and be part of an adventure to scale.