ML Engineer with Image Upscaling Experience

🔥Become a Luxoft employee🔥

Our Benefits:

💰Paid Referrals

💻Equipment: laptop and monitor

🩺Private Medical & Dental care & Life Insurance covered

🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)

🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts

🎓 LuxTalent platform (webinars, training, courses)

...and more!

Mandatory Skills Description:

5+ years in ML / Computer Vision, with experience shipping production image models for real-time or interactive use

Practical experience in single-image SR (upscaling) and artifact suppression

Strong understanding of perceptual vs distortion metrics trade-offs (PSNR/SSIM vs perceptual metrics like LPIPS)

Proficiency in PyTorch (or equivalent) and strong Python

Model deployment/optimization experience on GPUs: TensorRT or ONNX Runtime plus profiling/latency/memory tuning

Strong engineering discipline: clean code, testing basics, version control, reproducible experiments

One systems language: C++ preferred (or similar)

Nice-to-Have Skills Description:

Color and image processing fundamentals: sRGB vs linear, YUV, HDR, resampling/filtering basics (bicubic/Lanczos, anti-aliasing)

Familiarity with graphics pipelines and shaders; experience integrating ML into graphics stacks

CUDA/cuDNN hands-on optimization experience

Experience with model serving, versioning, telemetry, A/B testing

Experience with standard SR datasets/benchmarks (DIV2K, Set5/14, BSD100, Urban100, Manga109)

Experience with distributed training at scale and production-grade data pipelines

Languages:

English: B2 Upper Intermediate