Machine Learning Engineer

No matter if you’re the biggest sports fanatic, have a ‘minor’ shoe addiction or you own just one pair of sneakers, you know that finding the “perfect” shoe can be challenging. We’re here to help people find that perfect fitting shoe every single time. We have created a way to make a 3D scan of your feet and match that profile with our own (and the world’s largest) database of 3D-scanned shoes. We are also developing technology for 3D printing custom shoes and insoles based on a person’s foot profile. Our goal is to inspire people to do what they love in maximum comfort, whether it’s running a marathon, dancing all night or simply going for a stroll in the park. To accomplish this, we work with the largest shoe retailers and brands (Nike, HOKA, Intersport, Adidas, PUMA, Amazon and many more) across 70+ countries. As an employer, we strive to translate this philosophy into a happy and balanced lifestyle for all our team members, giving them the opportunity to grow and thrive while doing what they love.

We're looking for an experienced Software Engineer with broad technical interests who wants to work across the full path from raw inputs and Computer Vision, through data processing and model training, to production inference and analytics. This is a software engineering role first: you should be comfortable designing, writing, testing and maintaining production-quality code, primarily in Python. Rather than owning one narrow component, you will help connect the pieces of the system - processing images, 3D scans and other data; maintaining data and training pipelines; improving ML/DNN models; deploying inference; and building analytics and diagnostics around the outputs.

The scope is intentionally broad, and that is a core part of the opportunity. We are not looking for someone who is already an expert in every layer. If you are stronger in some areas and less experienced in others, don't let that put you off. What matters most is curiosity, learning speed, technical judgment and the willingness to dig into unfamiliar code, data and systems. You will have significant room to learn across ML, data engineering, Computer Vision and production software while developing deeper expertise over time

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  Degree in Computer Science, Engineering, Informatics or a related field;

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  3+ years of professional software engineering experience. We care more about the quality and breadth of your experience and technical judgment than an exact number of years;

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  Strong Python programming skills and solid software engineering fundamentals, including maintainable code, debugging, testing, version control and code review;

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  Hands-on experience with ML workflows - ideally including some combination of training, evaluation, fine-tuning, inference or deployment - using PyTorch, TensorFlow or similar tools;

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  A practical understanding of ML and DNNs, including training vs. inference, validation/test methodology, overfitting, evaluation metrics and the relationship between model performance and training data;

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  Strong practical data-processing skills using Python tools such as Pandas/NumPy and, ideally, SQL. You should be comfortable preparing, validating and analyzing datasets and understand how data quality and composition affect model behavior;

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  Some hands-on exposure to Computer Vision or image processing, but CV does not need to be your primary specialization; openCV experience is valuable;

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  Comfortable using LLMs in your daily work as an engineering tool;

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  Ability to read unfamiliar code, including code in languages other than your primary language, and learn enough of a new language, library or system to solve the problem at hand;

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  Comfort working in Linux and with common engineering tools such as Git, issue tracking and automated tests;

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  Any of the following would be a strong plus:

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    JavaScript or TypeScript experience, especially for engineering tools, web interfaces, analytics or visualizations;

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    Experience with advanced ML/MLOps workflows such as experiment tracking, model/dataset versioning, automated retraining, model monitoring or feature/data pipelines;

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    Experience with 3D Computer Vision, point clouds, depth cameras, multi-camera systems or camera calibration;

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    Experience deploying ML/CV workloads to edge devices or performance-constrained environments, and/or with Docker, AWS, APIs or cloud production systems;

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    Experience working with physical devices, cameras, sensors or other hardware-software systems.

• Above all, a curious and eager to learn personality. You enjoy understanding unfamiliar systems, learning by doing and going outside your existing area of expertise when needed. We do not expect you to be equally strong in every part of the role;

• An excellent communicator with full working proficiency in written and spoken English;

• A pragmatic engineering mindset: you enjoy experimenting and learning, but also care about reliability, maintainability, measurable results and getting solutions into production.

What  SafeSize offers you 

Being a great employer is important to SafeSize. We strongly believe in social impact (doing things right AND doing the right things) and offering our employees an awesome experience is a crucial element of that. We see fun and engagement as two core ingredients of a successful team. We encourage our people to find their passion within work and create an inspiring environment for our team, so everyone can excel and continue to grow.

For this position, you will be working at our office in Athens (Greece). 

A sneak peek into SafeSize perks

• Competitive salary;

• A brand-new office in a beautiful building in Kifissia, Athens, with sit/stand desks, inspiring interior and healthy breakfast and lunch;

• Volunteer time off: extra time off to spend on assisting a good cause of your choice;

• Monthly team events and drinks;

• Company laptop;

• Commuting expenses covered;

• Private health insurance;

• Annual Learning & Development budget;

• And perhaps, most important of all: a driven team of talented SafeSizers and inspiring place to work and learn, where we work together according to the five company values:

If this sounds like you, click the apply button!  We would love to find out why you would be a great match for this position and why you think SafeSize is a company that fits you. Please do not forget to attach your CV and add a cover letter.