ML Engineer with Image Upscaling Experience

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Belgrade, Serbia

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AI/ML

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Automotive Industry

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26/02/2026

Req. VR-121212

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Project description

We are looking for an ML Engineer with hands-on image upscaling (single-image super-resolution) experience to build and ship production-quality upscaling and artifact suppression models for real-time / interactive visual applications. The work combines computer vision, perceptual quality optimization, and GPU-focused deployment, with integration into graphics stacks and strong engineering practices (reproducibility, CI/CD, benchmarking, telemetry).

Responsibilities
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Develop and improve single-image super-resolution and artifact suppression models (noise, compression artifacts, ringing, halos)

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Optimize quality using a balanced approach between PSNR/SSIM and perceptual quality (e.g., LPIPS)

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Build efficient training and data pipelines (incl. mixed precision, distributed training when needed)

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Deploy and optimize models for GPU / edge inference (latency, memory, throughput)

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Integrate ML components into graphics/visual pipelines (coordination with graphics/engine teams)

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Run rigorous benchmarking and maintain model quality/perf dashboards; document design decisions and trade-offs

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Collaborate cross-functionally with graphics, product, QA, and platform teams

Skills

Must have

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

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

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

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Proficiency in PyTorch (or equivalent) and strong Python

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

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

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

Nice to have

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

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

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CUDA/cuDNN hands-on optimization experience

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

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

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

Other
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Languages

English: B2 Upper Intermediate

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Seniority

Senior

Belgrade, Serbia

Req. VR-121212

AI/ML

Automotive Industry

26/02/2026

Req. VR-121212

Apply for ML Engineer with Image Upscaling Experience in Belgrade

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