Model Compression & Optimization Engineer (Edge AI)

Apply
Apply

Share

successfully icon

Successfully

The vacancy has been successfully added to favorites

location icon

Warsaw, Poland

specialization icon

AI/ML

lob icon

Automotive Industry

date icon

28/08/2025

Req. VR-116581

Apply
Project description

Do you want to shape the future of video collaboration and redefine what it means to communicate, connect, and create? We are at the forefront of audio AI innovation, combining creative design, innovative science, and cutting-edge technology to deliver exceptional communication experiences. Imagine your work being at the heart of conference
rooms across the globe, used by thousands every day—including over 350 companies in the Fortune 500. We're on a mission: to make virtual communication so seamless and powerful that it's better than being there in person. As part of our growing Real-time Audio AI Team, you'll play a pivotal role in shaping leadership in AI for best-in-class, real-time audio experiences. By leveraging state-of-the-art multi-modal AI technologies, your impact will resonate on a global scale.

Responsibilities
bullet icon

As a Model Compression & Optimization Engineer, you'll help build transformative AI-driven audio solutions. Your contributions will directly drive innovation in areas like model compression, efficient audio neural networks architectures, edge AI deployment. Role responsibilities will be tailored to leverage candidate's expertise

bullet icon

research-oriented candidates will focus more on novel technique development and experimental work, while industry-experienced candidates will emphasize hands-on production implementation and optimization. Here's how you'll make an impact:

bullet icon

Design and implement compression strategies for audio/causal models (training-time and post-training).

bullet icon

Bridge Python prototyping with C++ production teams.

bullet icon

Hardware-aware optimization for target platforms.

bullet icon

Research cutting-edge compression techniques.

bullet icon

Guide C++ team on compression method implementation.

Skills

Must have

bullet icon

Strong Python proficiency.

bullet icon

Solid deep neural networks knowledge (architectures, training principles).

bullet icon

Experience with deep learning frameworks (PyTorch preferred).

bullet icon

Understanding of model compression techniques: quantization, pruning, knowledge distillation, etc.

bullet icon

Familiarity with diverse layer types (conv, recurrent, transformers).

bullet icon

Hardware constraint awareness for edge deployment

Nice to have

bullet icon

General C++ knowledge to support embedded deployment of ML solutions.

bullet icon

Research experience or strong academic recommendations.

bullet icon

Neural Architecture Search experience.

bullet icon

Audio processing or causal model experience.

bullet icon

Leadership/mentoring capabilities (for senior candidates).

bullet icon

Soft Skills:

bullet icon

Passionate about team collaboration, valuing collective success over individual output.

bullet icon

Excellent attention to detail, alongside pragmatic problem-solving.

bullet icon

Self-starter with the ability to conduct independent research and refine priorities

bullet icon

efficiently.

bullet icon

Open to feedback, with a hunger to grow professionally and personally.

bullet icon

Strong communication and time-management skills to deliver impact in a fast-paced

bullet icon

environment.

Other
seniority icon

Languages

English: B2 Upper Intermediate

seniority icon

Seniority

Senior

Luxoft Benefits*
  • Relocation options **
  • Experience in an international environment
  • Cross-cultural experience
  • Feedback culture
  • Regular appraisals
  • Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority
  • Occasional leave - 1 or 2 days/ depending on the circumstances
  • Child care leave - 2 days or 16 hours per year
  • Absence due to force majeure - 2 days or 16 hours per year
  • Maternity Leave - 20 weeks
  • Parental Leave - 41 weeks
  • Paternity Leave - 14 days
  • Expert-led tech courses covering basic to advanced topics
  • Internal instructor-led soft skills courses
  • Comprehensive in-house self-learning resources for both soft and hard skills
  • Access to external self-learning libraries like ProQuest eBook and Udemy for Business
  • Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
  • Custom Learning Programs: upskilling, reskilling, technical mentorship
  • Leadership Programs for Managers
  • Multisport card
  • Possibility to order Multisport card at the corporate rate for family members
  • LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
  • One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners
  • Preferential banking offer
  • Preferential car leasing offer
  • Cafeteria program discounts for shops, cinema tickets, holiday offers
  • Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support
  • Private Healthcare Insurance with unlimited access to specialists
  • Full dental support
  • Travel Insurance
  • Possibility to add private healthcare coverage for family members at the corporate rate
  • Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer
  • Reimbursement for corrective glasses
  • Many fun social activities organized by the Luxoft team offline in your city
  • Online entertainment events for whole company and local team events
  • A workplace where you’re treated with respect within a multicultural team
  • Rotation between projects and accounts
  • New career opportunities

Self-Learning Library

CSR Projects

*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.

**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.

***Options offered by the Polish government.

Warsaw, Poland

Req. VR-116581

AI/ML

Automotive Industry

28/08/2025

Req. VR-116581

Apply for Model Compression & Optimization Engineer (Edge AI) in Warsaw

*Indicates a required field

Under the terms of your specific consent or to perform our obligations under a contract with you, as applicable, we, Luxoft Holding Inc. will manually and electronically process your personal data, specifically your first name, last name, phone number, e-mail address and other data you provide us through this form.


Within this context, we process personal data only for the specific purpose(s) indicated in the individual consent language or other notices provided below.


We will – insofar as reasonably necessary for the purpose you have agreed to and within the scope of applicable laws – transfer your personal data to other entities within the Luxoft Group and to the group of third party recipients listed in our Privacy Notice. Such Recipients can be located outside the European Union (EU) and/or the European Economic Area (EEA) (“Third Countries”). The Third Countries concerned, e.g. the USA, may not have the level of data protection that you enjoy e.g. under the GDPR. This can result in disadvantages such as an impeded enforcement of data subjects’ rights, a lack of control over further processing and access by state authorities. You may only have limited legal remedies against this. Insofar our transfer of your personal data to recipients in Third Countries is not covered by an adequacy decision of the EU Commission, we achieve an adequate level of data protection as further detailed out in our Privacy Notice.


With your consent, we personalise marketing communications to you by way of carrying out marketing research analysis, analysing the surfing-behaviour of our website visitors and to adjust it to their detected tendencies, as well as to plan more efficient future marketing activities. This personalised marketing does not include any automated decision-making activities.


Further information on how we process personal data in general is available in our Privacy Notice. You may withdraw any given consent at any time. The withdrawal of your consent(s) will not affect the lawfulness of processing before its withdrawal. For any request in this context, please e-mail us at: DPO@luxoft.com.


Before uploading CV or any other information to this website, to learn more about your obligations and restrictions arising from the use of this website, please read our Terms of Use.