Deep Learning Engineer II

Bosch

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Pittsburgh, PA
Posted: 147 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $226k

$163k most similar roles pay here $290k

This listing doesn't post a salary. Most similar roles pay $196,750–$254,750.

Based on 240 similar postings.

Employer

About Bosch

Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.

Bosch currently has 34 open roles on FindRole.

Listed pay typically runs $165,000–$185,000 across 16 roles with salary data.

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At a glance

TL;DR · Deep Learning Engineer II

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The Deep Learning Engineer II will join the team to conduct research and advanced development of innovative signal processing and deep learning systems. The role involves developing algorithms to interpret and respond to diverse sensor signals, including audio, vibration, ultrasounds, radar, lidar, power traces, and torque. Key responsibilities include managing artificial intelligence systems integrated with large language models to support agentic workflows and creating multimodal retrieval-augmented generation applications. The engineer will utilize Python, PyTorch, Lightning, MLFlow, Numpy, Scipy, and Matplotlib to build and maintain deep learning pipelines. This position focuses on solving technical problems related to processing acoustic and vibration signals and deploying advanced AI solutions on embedded platforms. The role requires expertise in machine learning and signal processing to automate complex tasks typically performed by human agents.

Skills

Deep Learning Signal Processing Python PyTorch MLFlow NumPy SciPy Matplotlib Large Language Models Retrieval-Augmented Generation AI

What you'll do

Research and develop innovative signal processing and deep learning systems for sensor signals.
Develop algorithms to interpret and analyze audio, vibration, ultrasound, radar, lidar, power traces, and torque data.
Manage the development of AI systems integrated with large language models.
Support agentic workflows to automate complex tasks typically performed by human agents.
Create multimodal retrieval-augmented generation applications combining text, images, and audio data.
Implement and deploy advanced AI solutions on embedded platforms.
Design, develop, and maintain deep learning pipelines for acoustic and vibration signals.

What we're looking for

Master’s degree or foreign equivalent in Information Technology, Electronic Engineering, or a related field.
3 years of experience as a Deep Learning Engineer, Research Engineer, or related role involving deep learning pipelines for acoustic and vibration signals.
Experience with deep learning and signal processing frameworks in Python.
Experience with PyTorch and Lightning.
Experience with MLFlow and Numpy.
Experience with Scipy.
Experience with Matplotlib.

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