Rust Jobs for Rustaceans

Key Responsibilities:

• 8+ years building and shipping ML or DL products (or 2+ with a PhD degree).
• Proven track record in generative models (LLMs, diffusion, transformers, VAEs) and modern CV/NLP stacks.
• C++ / Rust and Python expertise; comfortable refactoring kernels for efficiency on limited‑memory devices.
• Hands‑on experience with edge inference (TensorRT, CoreML, TVM, ONNX, TFLite, WebGPU, or similar).
• Familiarity with CTV / ACR pipelines (frame grabbers, fingerprinting, video embeddings) or embedded multimedia systems.
• Strong grasp of distributed training (DDP/Horovod) and MLOps (Kubeflow, Airflow, MLFlow, Feature stores).
• Knowledge of data‑privacy frameworks (FL, DP‑SGD, HE, SMPC) and ability to translate compliance constraints into code.
• Bachelor’s or higher in CS, EE, Math, or related field.

Requirements:

• Background in ad‑tech or retail media optimization (incrementally, real‑time ROAS, auction dynamics).
• Experience optimizing models for ARM Cortex‑A, NEON, NPU, or VVC ASICs inside smart‑TV SoCs.
• Contributions to OSS projects in quantization, model compression, or video ML (e.g., bits‑and‑bytes, MLC‑AI, PyTorch‑Video).
• Familiarity with incrementality measurement, attribution, and real‑time auction dynamics (e.g., bid shading, floor price optimization).
• Working knowledge of data‑privacy frameworks (FL, DP‑SGD, HE, SMPC) and ID resolutions (UID2, RampID, SharedID).
• Publications/patents in generative media, multimodal learning, or ACR.