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Senior Machine Learning Engineer at Warszawa

Details of the job offer


Date : 2025-04-16
Availability : Full time
Contract : Permanent

About our Team

 

As one of the largest AI teams in Europe, we work with the analysis of sound, image, speech, text, Big Data, NLP, and more. We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources, and appropriate computing resources.

 

About the role

 

We are looking for ambitious machine learning engineers to help us with the development and optimization of cutting-edge algorithms for biomarker recognition based on data from wearable and mobile devices. We offer a stable employment and work on long-term projects of strategic importance for our company. Successful candidates will be given an opportunity to shape next-generation smart features of devices used by hundreds of millions of people all over the world.



Role and Responsibilities

·      Conducting scientific literature review, contributing to scientific publications and patent applications.

·      Analysis of sensor data from wearable devices, outlining dataset acquisition methodology

·      Design and implementation of machine learning algorithms for anomaly detection in biomedical data. Porting and optimization on embedded platforms: ARM.

·      Close collaboration with product management to define product strategy and roadmap

·      Leading software system architecture design to deliver efficient, maintainable code for model training, evaluation and deployment.

·      Design solutions for appropriately incorporating machine/deep learning into product features and effectively communicate this solution to software engineers and business leaders.


Technologies in use

·      Python, C++

·      Deep Learning Frameworks: Tensorflow, PyTorch, Keras, SciPy ecosystem

·      Digital Signal Processing


Skills and Qualifications

·      PhD or relevant work experience in Physics (particularly Optics), Signal Processing, Computer Science or related discipline

·      Experience in designing, training, and analyzing machine learning algorithms for classification, regression and anomaly detection problems

·      Strong mathematical background (linear algebra/analysis/statistics/optimization methods)

·      Experience with standard Machine Learning packages, amongst but not limited to: Tensorflow, Keras, SciKit-Learn, Torch, etc.

·      Scientific publications, active participation in conferences in the field of artificial intelligence




Nice to have

·      Practical knowledge of libraries related to waveform data processing

·      Fundamental knowledge in Optics, Biomedicine, and Digital Signal Processing backed by work experience in biomedical data analysis

·      Professional experience in porting neural network models on embedded platforms: ARM

·      Professional experience in fixed point C, assembler on generic platforms, optimizing C/ASM code

·      Professional experience in developing product-grade code including high-level software development practices, integration into CI environment, proper testing, packaging and releasing of the software

 


We offer

·      Team:

o  Friendly working atmosphere

o  Wide range of trainings and a huge support in developing algorithmic skills

o  Opportunity to work in multiple projects

o  Working with the latest technologies on the market

o  Monthly integration budget

o  Possibility to attend local and foreign conferences

o  Flexible working hours

·      Equipment:

o  PC workstation/Laptop + 2 external monitors

o  OS: Linux

o  Possibility to work on Samsung Super Computer (over 4000 GPUs)

·      Benefits:

o  Private medical care (possibility to add family members for free)

o  Multisport card

o  Life insurance

o  Lunch card

o  Variety of discounts (Samsung products, theaters, restaurants)

o  Unlimited free access to Copernicus Science Center for you and your friends

o  Possibility to test new Samsung products

·      Location:

o  Office in Warsaw Spire near metro station

o  Attractive relocation package



Industry : Business consulting, human resources, legal and technology
Professional area : Business, HR, Legal, Tech Consulting
Job type : Engineer
Place of work : Mazowieckie - Mazowieckie - Warszawa
Branch / Reference : 32267


 
CONTACT NOW
Senior Machine Learning Engineer
Permanent / Warszawa
Place of work - City:
Warszawa
Industrial Sector:
Business consulting, human resources, legal and technology
Professional Area:
Business, HR, Legal, Tech Consulting
Reference code:
32267
Salary per:
Job offer insertion date:
2025-04-16

About our Team

As one of the largest AI teams in Europe, we work with the analysis of sound, image, speech, text, Big Data, NLP, and more. We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources, and appropriate computing resources.

About the role

We are looking for ambitious machine learning engineers to help us with the development and optimization of cutting-edge algorithms for biomarker recognition based on data from wearable and mobile devices. We offer a stable employment and work on long-term projects of strategic importance for our company. Successful candidates will be given an opportunity to shape next-generation smart features of devices used by hundreds of millions of people all over the world.



Role and Responsibilities

·      Conducting scientific literature review, contributing to scientific publications and patent applications.

·      Analysis of sensor data from wearable devices, outlining dataset acquisition methodology

·      Design and implementation of machine learning algorithms for anomaly detection in biomedical data. Porting and optimization on embedded platforms: ARM.

·      Close collaboration with product management to define product strategy and roadmap

·      Leading software system architecture design to deliver efficient, maintainable code for model training, evaluation and deployment.

·      Design solutions for appropriately incorporating machine/deep learning into product features and effectively communicate this solution to software engineers and business leaders.


Technologies in use

·      Python, C++

·      Deep Learning Frameworks: Tensorflow, PyTorch, Keras, SciPy ecosystem

·      Digital Signal Processing


Skills and Qualifications

·      PhD or relevant work experience in Physics (particularly Optics), Signal Processing, Computer Science or related discipline

·      Experience in designing, training, and analyzing machine learning algorithms for classification, regression and anomaly detection problems

·      Strong mathematical background (linear algebra/analysis/statistics/optimization methods)

·      Experience with standard Machine Learning packages, amongst but not limited to: Tensorflow, Keras, SciKit-Learn, Torch, etc.

·      Scientific publications, active participation in conferences in the field of artificial intelligence




Nice to have

·      Practical knowledge of libraries related to waveform data processing

·      Fundamental knowledge in Optics, Biomedicine, and Digital Signal Processing backed by work experience in biomedical data analysis

·      Professional experience in porting neural network models on embedded platforms: ARM

·      Professional experience in fixed point C, assembler on generic platforms, optimizing C/ASM code

·      Professional experience in developing product-grade code including high-level software development practices, integration into CI environment, proper testing, packaging and releasing of the software


We offer

·      Team:

o  Friendly working atmosphere

o  Wide range of trainings and a huge support in developing algorithmic skills

o  Opportunity to work in multiple projects

o  Working with the latest technologies on the market

o  Monthly integration budget

o  Possibility to attend local and foreign conferences

o  Flexible working hours

·      Equipment:

o  PC workstation/Laptop + 2 external monitors

o  OS: Linux

o  Possibility to work on Samsung Super Computer (over 4000 GPUs)

·      Benefits:

o  Private medical care (possibility to add family members for free)

o  Multisport card

o  Life insurance

o  Lunch card

o  Variety of discounts (Samsung products, theaters, restaurants)

o  Unlimited free access to Copernicus Science Center for you and your friends

o  Possibility to test new Samsung products

·      Location:

o  Office in Warsaw Spire near metro station

o  Attractive relocation package

Call us now to book an interview.
Gi Group

ul. Kamienna 111 lok. U7
S70 1SN
50-547 Wrocław, 50-125 Wrocław
Tel.: +48 508 040 130
Tel.: +48 508 000 794