Deep Learning Engineer

Talent Place

Warszawa

On-site

PLN 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Private medical care

Multisport card

Life insurance

Lunch card

Variety of discounts

Unlimited access to Copernicus Science Center

Job summary

A leading technology firm in Warsaw is seeking an experienced specialist in designing and analyzing neural networks. The ideal candidate will have a strong mathematical background and experience with Machine Learning tools. This role offers a collaborative work environment, opportunities for professional development, and a variety of benefits including private medical care and a multisport card.

Qualifications

Proven experience in at least one neural network field: Object detection/classification, Audio Classification, etc.
Strong mathematical background including linear algebra and statistics.
Experience with standard Machine Learning packages.
Publications and conferences in AI.

Responsibilities

Design, train, and analyze neural networks.
Participate in scientific conferences in the field of AI.
Collaborate with teams to port models to embedded platforms.

Skills

Designing neural networks

Training neural networks

Analyzing neural networks

Strong mathematical background

Experience with Machine Learning packages

Scientific publications

Education

PhD or relevant work experience in Computer Science

Tools

Tensorflow

Keras

SciKit-Learn

Torch

Job description

Overview

Our Client is one of the largest research and development hubs in Poland with offices in Warsaw and Cracow. This is where highest-quality software is created. The work of our engineers influences the future operation of our flagship mobile device and television models, mobile networks, multimedia installations, robots, intelligent buildings, and more.

Responsibilities

Proven experience in designing, training, and analyzing neural networks in at least one of the following fields: Object detection/classification, Audio Classification, Speech Enhancement, Image segmentation, Multitask learning, Network compression, Reinforcement learning, Unsupervised learning.
Strong mathematical background (linear algebra/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 image and video processing.
PhD or relevant work experience in Computer Science, Signal Processing, Acoustics, or related discipline.
Fundamental knowledge in Acoustics, Audio Engineering, and Digital Signal Processing.
Professional experience in porting Audio/Image/Video neural network models on embedded platforms: ARM, DSPs.
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.

What we can offer