Research Engineer – Multi-modal AI systems

Bosch Group; Pittsburgh (Allegheny County); On-site; USD 80,000 - 110,000; Full time

Job summary

An innovative firm is seeking a talented engineer to enhance AI/ML research workflows. In this pivotal role, you will streamline software practices, run extensive AI experiments, and optimize models for future products. Collaborating with cross-functional teams, you will contribute to groundbreaking projects that push the boundaries of signal sensing and multimodal models. This position offers a unique opportunity to work at the intersection of research and practical application, ensuring that cutting-edge solutions are translated into impactful products. If you are passionate about advancing technology and thrive in a collaborative environment, this role is perfect for you.

Qualifications

• 3+ years of industry experience in multimodal sensor fusion.
• Proficiency in Python, PyTorch, Docker, and Git.

Responsibilities

• Streamline software workflow for AI/ML research projects.
• Run large-scale AI experiments and maintain software tools.

Skills

Python

PyTorch

Docker

Git

MLOps

CI/CD workflows

High-performance computing (HPC)

Kubernetes

Education

MS degree or higher

Tools

MLFlow

Azure

VSCode

PyCharm

Job description

Originating from Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of signal sensing and multimodal models through key innovations to solve complex industry problems and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals.

In this position, you are expected to:

• Become the engineering multiplier of a research team, by streamlining the software workflow of different AI/ML research projects.
• Define and maintain good software engineering and documentation practices in the team, coordinate reviews and maintenance of our codebase, coordinate contributions from different projects.
• Run large-scale AI experiments in coordination with the team, aiding researchers in validating ideas and prototypes across a variety of public and private datasets.
• Maintain software tools that the team delivers to other units, fix bugs, provide support, discuss with the team missing functionalities and propose future developments grounded in business needs.
• Optimize existing models and data pipelines, deploy AI models for proof-of-concept or studies.

Qualifications

Basic Qualifications

• MS degree or higher with 3+ years of industry experience after graduation on multimodal sensor fusion.
• Proficiency with Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), PyTorch Lightning, dependency management software (Poetry), version control systems (Git), pre-commit, linting, CI/CD workflows, containerization (Docker), MLOps on public cloud infrastructures (Azure), integrated development environment (VSCode or PyCharm) and experiment tracking tools (MLFlow).
• Familiarity with high-performance computing (HPC) systems and job schedulers (Slurm, LSF).
• Strong interpersonal, communication, and teamwork capabilities.

Preferred Qualifications

• 5+ years of experience in industrial research and productization.
• Familiarity with container orchestration systems (Kubernetes).
• Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.

Additional Information

Equal Opportunity Employer, including disability / veterans.

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.