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Senior Machine Learning Engineer


Place of work
Remote work
Contract type
full-time, agreement-based (Temporary jobs)
Start date
Wage (gross)
3 000 - 4 000 EUR/month

Information about the position

Job description, responsibilities and duties

We are looking for an expert in machine learning (mostly deep learning) that is coming from industry or academia with proven track record of exceptional work in this field. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. You will complement our team and your work will help us create a fundamental architecture for easy-to-use platform for training numerical simulation models used in computational fluid dynamics, structural mechanics and other fields where high-performance numerical simulation is key component for research and development. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Employee perks, benefits

Ambitious software product
Challenging tech-stack
Startup atmosphere
Work at the intersection of research and industry
Work with an experienced team of experts
Regular code-reviews
Available as fully remote position
25 vacation days

Information about the selection process

We are looking for proven record of doing exceptional work instead of relying on university degrees or certificates, although having Master’s or a PhD would definitely be great to have under your belt!

You should have strong programming skills and also have an active GitHub profile where you showcase your work which you are proud of!

Requirements for the employee

Candidates with education suit the position

Primary education
Secondary school student
Secondary without school-leaving examination
Secondary with school-leaving examination
Follow-up/Higher Professional Education
University student
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)

Educational Specialization

Machine learning, Deep learning, Numerical Simulation

Language skills

English - Upper intermediate (B2)

Other knowledge

Proficiency with a PyTorch and PyTorch Lightning - Expert
Proficiency with Python and ML libraries - Advanced
Experience with PyTorch Geometric - Skillful
Expertise in manipulating large datasets - Advanced
Familiarity with Linux and Docker - Skillful
Ability to optimize ML pipelines - Advanced

Experience in the position/sector

Machine learning, Software engineering

Number of years of experience


Personality requirements and skills

- Understanding engineering and scientific objectives and developing models that help to achieve them, along with metrics to track their progress
- Analyzing recent machine learning and deep learning scientific papers and benchmarking the provided code
- Analyzing the deep learning algorithms that could be used to solve engineering and scientific problems
- Building graph-based deep learning algorithms for use in high-performance numerical simulation
- Building data preprocessing pipelines that transfer simulation timeseries data or real-time data from sensors into graph representations
- Working closely with our partners to gather quality data
- Finding available datasets online that could be used for training (or preprocessed into useful ones)
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process
- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
- Training models and tuning their hyperparameters
- Setting up parallelized and distributed training pipelines leveraging GPUs or TPUs
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production


Brief description of the company

At DimensionLab, our vision is to build tools for discovery, learning and a deep understanding of how the world around us work. We are on a mission towards inventing a next-generation engineering and scientific software products. Engineering and science are fundamental in the evolution of the society. Our goal is to create an unmatched user experience with real-time, interactive experimentation during design and research in product and technology development.

Number of employees

2 employees
ID: 4197975  Posting date: 7.11.2021  Lower salary limit (gross): 3 000 EUR/month