Why This Role Stands Out
Shape the future of AI by developing cutting-edge deep learning systems that analyze diverse sensor data and integrate with large language models for agentic workflows. If you have a Master's degree, 3 years of experience with deep learning frameworks in Python, and a passion for innovation, you'll thrive in this collaborative environment at a globally recognized company, with the added flexibility of a hybrid work model. Apply today to join a team pushing the boundaries of artificial intelligence!
Quick Overview
Job Description
Robert Bosch LLC seeks Deep Learning Engineer II (Multiple Positions) at its facility located at 2555 Smallman Street, Suite 300, Pittsburgh, PA 15222. Conduct research and advanced development of innovative signal processing and deep learning systems specifically designed to process and analyze sensor signals. These sensor signals include, but are not limited to, audio, vibration, ultrasounds, radar, lidar, power traces, and torque. Utilize expertise in machine learning and signal processing to develop innovative algorithms that accurately interpret and respond to these diverse types of data. Manage the development of artificial intelligence (AI) systems integrated with large language models. These AI systems support agentic workflows, automating complex tasks typically performed by human agents. Work on creating multimodal retrieval-augmented generation applications, combining multiple forms of data (e.g., text, images, audio) to enhance the system's ability to generate relevant and contextually appropriate responses. Collaborate with teams across the organization worldwide to ensure the successful implementation and deployment of these advanced AI solutions on embedded platforms. REQS: This position requires a master’s degree or foreign equivalent in Information Technology, Electronic Engineering or a related field and 3 years of experience as a Deep Learning Engineer, Research Engineer or occupation involving design, development, and maintenance of deep learning pipelines for acoustic and vibration signals. Additionally, the applicant must have employment experience with: (1) Deep learning and signal processing frameworks in Python; (2) PyTorch and Lightning; (3) MLFlow and Numpy; (4) Scipy; and (5) Matplotlib. Telecommuting: Hybrid, 2 days per week WFH. Applicants who are interested in this position should apply https://www.bosch.us/careers/, search [Deep Learning Engineer II (Multiple Positions) / REF286216I]
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