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Machine Learning Engineer
Full time
Onsite or remote
Retirement contributions
Paid parental leave
Healthcare benefits
Unlimited PTO
Flexible schedules
Wellness reimbursement
Employee equity
Competitive salary
Evangello Flouty
Aaron Abentheuer
Mila Mutafchieva
Nelson Scholler
Michèle Srour
Nick Nikolov
Evangello Flouty
Harry Andrews
Sam McGarry
Chrysostomos Chadjiminas
Alex Hardy
Vedant Gurav
Georgi Tanev
Will Gallia
London or remote

Ideally you’d live in a timezone within 3 hours of London (GMT±3). If this does not perfectly apply to you feel free to apply anyways. 🤗



Playground is looking for a Machine Learning Engineer who can help us build intelligence into a variety of products that span our solutions and product business.

Your work at Playground

  • Build, test, deploy, maintain, and improve data pipelines and machine learning systems.

  • Help define and improve engineering standards, tooling, and processes.

  • Work with data collection and QA team members to improve the quality of our datasets and pipelines.

  • Work with product designers to help integrate the machine learning model and achieve the desired user experience.

Things you might work on

  • Building tools to help a stealth automotive hardware startup deliver on cutting-edge applied machine learning.

  • Work within our product team to deliver and launch our flagship product.

You’re probably a good fit if

  • 3+ years Experienced with modern Machine Learning and Deep Learning software libraries (Tensorflow, PyTorch, sci-kit).

  • Committed to high-quality, well-tested code.

  • Excited to push the status quo of what intelligent products can be.

  • Digital signal processing or working with time-series data and machine learning is a plus.

  • Experienced with Machine Learning systems in production is a plus.

  • DevOps or MlOps experience is a big plus.