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Текст:
Hirify AI/Оригинал
TL;DR
Deep Learning Engineer II (AI): Developing advanced deep learning and signal processing systems for acoustic, vibration, radar, lidar, and other sensor signals with an accent on multimodal AI, large language models, and embedded deployment. Focus on designing deep learning pipelines, building retrieval-augmented generation applications, and integrating agentic AI workflows across global teams.
Location: Pittsburgh, Pennsylvania, United States. Hybrid schedule with two days per week working from home.
Company
Develops technologies and services for connected living, mobility, and industry.
What you will do
Research and develop deep learning and signal processing systems for acoustic, vibration, ultrasound, radar, lidar, power trace, and torque sensor data.
Design algorithms that interpret and respond to diverse sensor signals.
Develop AI systems integrated with large language models to support agentic workflows and automate complex tasks.
Build multimodal retrieval-augmented generation applications using text, images, and audio.
Collaborate with teams worldwide to implement and deploy AI solutions on embedded platforms.
Requirements
Master’s degree or foreign equivalent in Information Technology, Electronic Engineering, or a related field.
At least 3 years of experience as a Deep Learning Engineer, Research Engineer, or in a related role designing, developing, and maintaining deep learning pipelines for acoustic and vibration signals.
Professional experience with deep learning and signal processing frameworks in Python.
Experience with PyTorch, Lightning, MLFlow, Numpy, Scipy, and Matplotlib.
Culture & Benefits
Hybrid work arrangement.
Dining areas, parking, pool cars, and e-bikes at company sites.
Business travel accident insurance and emergency travel assistance.
Associate discounts, wellness incentives, childcare discounts, and an Employee Assistance Program.
Language classes, social and hobby clubs, and will preparation services.
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