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Мы создаём модели голосовой биометрии Алисы. Ищем ML-разработчика с опытом в DL, который будет развивать сценарии колонок: улучшать узнавание голоса и персонализацию ответов, проводить эксперименты и доводить модели до…
Develop autonomy software for autonomous systems, including sensor fusion, GNC algorithms, and testing in simulation/HWIL environments.
В связи с расширением штата приглашаем к нам в команду профессионала на позицию AI Engineer. Чем предстоит заниматься: Разработка и внедрение решений на базе искусственного интеллекта. Проектирование архитектуры…
Design, train, and optimize deep learning models for object detection, tracking, and activity recognition on Woven by Toyota's Digital Twin Platform using PyTorch/TensorFlow in industrial/logistics environments.
Researches and implements 3D machine learning models to generate and verify CAD models for engineering tasks, using PyTorch, diffusion models, and 3D libraries.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Own and evolve on-device conversational AI for an industrial safety wearable, building dialog systems with NLU, SLM inference, and deterministic safety guardrails under strict latency, memory, and thermal constraints on edge hardware.
Develop and optimize embedded computer vision inference software for Linux-based edge devices, integrating deep learning models into production hardware with C++ and Rust.
The Principal Product Manager will lead the strategy and delivery of Arm's AI developer tools, creating a unified experience for optimizing and deploying machine learning models on Arm hardware. This role involves defining roadmaps, managing developer experience across various interfaces, and fostering ecosystem partnerships.
Our client is a global leader in cybersecurity for IT, OT, and ICS critical infrastructure. Their end-to-end platform gives enterprises and public sector organizations the critical advantage they need to protect…
Engineering Manager - Edge AI & Robotics About Aptiv Aptiv is a global technology leader with more than 200,000 employees across 48 countries. We develop advanced software, compute platforms, and intelligent…
Development of the Voice AI Agent using Python, LiveKit and WebRTC Ownership of end-to-end real-time voice pipelines including streaming ASR/TTS, VAD, diarization, state management, retries and latency optimization…
Develop and optimize GPU kernels and performance for AI and HPC workloads on AMD GPU platforms, working with C/C++, GPU programming models (HIP/CUDA), LLVM/MLIR compiler technologies, and AI frameworks.
Research, develop, and deploy reinforcement learning algorithms for autonomous driving planning on real-time vehicle platforms, using PyTorch/TensorFlow and Python.
Lead optimization of ML models (Transformers, LLMs, VLMs) for real-time self-driving on embedded hardware, using quantization, kernel fusion, and profiling to maximize performance under strict compute constraints.
Senior ML Engineer taking operational ownership of deployed ML/AI services on AWS (Lambda, ECS/Fargate, Bedrock, S3), focusing on monitoring, retraining, inference performance optimization, and CI/CD—collaborating with data scientists and product engineers.
Build and own the MLOps platform that turns research models into production policies for Apollo, the humanoid robot, including dataset versioning, experiment tracking, model registry, evaluation harnesses, and on-robot serving.
The Technical Team Lead will oversee the architecture and development of a hardware-assisted security platform that uses CPU telemetry and machine learning to detect threats. This role involves leading cross-functional teams in silicon telemetry, ML inference, and kernel driver development to deliver security signals to partners.
The Senior Machine Learning Engineer will design, develop, and deploy computer vision models for object detection, tracking, and OCR to power real-world applications in parking and mobility. The role requires expertise in Python, deep learning frameworks, and model optimization for production environments.
This role involves transitioning machine learning models into scalable production systems using AWS, PyTorch, and various optimization techniques. The engineer will collaborate with cross-functional teams to deploy and monitor AI solutions within an educational technology environment.
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