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We believe sound is the most powerful force on earth.
The Role
Develop agentic workflows that automate audio machine learning research, including data preparation, training, evaluation, hyperparameter tuning, benchmarking, regression testing, experiment tracking, and reporting. Build reliable tools for GPU scheduling, artifact management, reproducible execution, and LLM-agent integration with research resources. Collaborate with audio researchers to create reusable workflows, dashboards, and reports for real-time audio processing algorithms.
Summary Generated by Built In
At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Description
The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real time, on physical devices. You will build agentic tools and automation that make our audio ML research dramatically faster and more reproducible. The focus is on orchestrating training, evaluation, experimentation, and reporting across many types of AI models, using on-premise and/or cloud GPU infrastructure.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
• Design and implement agentic workflows that plan, launch, monitor, diagnose, and summarize audio ML experiments, with appropriate human oversight.
• Automate data preparation, model training, hyperparameter searches, benchmarking, regression testing, and result comparison across research projects.
• Build reliable tooling for on-premises GPU scheduling and utilization, experiment tracking, artifact management, and reproducible execution.
• Connect LLM-powered agents to scripts, repositories, datasets, evaluation suites, and compute resources through well-defined tools and safeguards.
• Partner with audio researchers to turn repetitive experiments into reusable workflows and clear dashboards or reports.
Education
Degree in computer science, machine learning, electrical engineering, or a related field, or equivalent practical experience.
Skills
• Strong software engineering and Python skills, with hands-on experience building LLM agents or agentic workflows that invoke tools and execute multi-step tasks.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Experience with ML training and evaluation pipelines, PyTorch, experiment tracking, and automated testing.
• Practical experience operating on-premises Linux GPU machines, including CUDA environments, containers, job scheduling, and resource monitoring.
• Working knowledge of audio ML and DSP, including common datasets, audio metrics, and model development workflows.
• Experience with orchestration frameworks, distributed training, CI/CD, or MLOps is a plus.
• Ability to build reliable, observable systems and communicate effectively with research scientists.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $165,400-$227,500.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Description
The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real time, on physical devices. You will build agentic tools and automation that make our audio ML research dramatically faster and more reproducible. The focus is on orchestrating training, evaluation, experimentation, and reporting across many types of AI models, using on-premise and/or cloud GPU infrastructure.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
• Design and implement agentic workflows that plan, launch, monitor, diagnose, and summarize audio ML experiments, with appropriate human oversight.
• Automate data preparation, model training, hyperparameter searches, benchmarking, regression testing, and result comparison across research projects.
• Build reliable tooling for on-premises GPU scheduling and utilization, experiment tracking, artifact management, and reproducible execution.
• Connect LLM-powered agents to scripts, repositories, datasets, evaluation suites, and compute resources through well-defined tools and safeguards.
• Partner with audio researchers to turn repetitive experiments into reusable workflows and clear dashboards or reports.
Education
Degree in computer science, machine learning, electrical engineering, or a related field, or equivalent practical experience.
Skills
• Strong software engineering and Python skills, with hands-on experience building LLM agents or agentic workflows that invoke tools and execute multi-step tasks.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Experience with ML training and evaluation pipelines, PyTorch, experiment tracking, and automated testing.
• Practical experience operating on-premises Linux GPU machines, including CUDA environments, containers, job scheduling, and resource monitoring.
• Working knowledge of audio ML and DSP, including common datasets, audio metrics, and model development workflows.
• Experience with orchestration frameworks, distributed training, CI/CD, or MLOps is a plus.
• Ability to build reliable, observable systems and communicate effectively with research scientists.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $165,400-$227,500.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
Skills Required
- Degree in computer science, machine learning, electrical engineering, or a related field, or equivalent practical experience
- Strong software engineering and Python skills
- Hands-on experience building LLM agents or agentic workflows that invoke tools and execute multi-step tasks
- Experience with machine learning training and evaluation pipelines
- Experience with PyTorch
- Experience with experiment tracking and automated testing
- Practical experience operating on-premises Linux GPU machines, including CUDA environments, containers, job scheduling, and resource monitoring
- Working knowledge of audio machine learning and digital signal processing, including datasets, audio metrics, and model development workflows
- Ability to build reliable, observable systems and communicate effectively with research scientists
- Experience with orchestration frameworks, distributed training, CI/CD, or MLOps
What the Team is Saying
Kwasi
Engineer, Systems Design
Caitlin
Engineering Project Manager
Sean
PACE Rotational Engineer
Bose
Bose Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, pharmacy, and vision for employees and dependents, alongside employee assistance programs and mental-health support. These offerings are consistently presented as comprehensive pillars of the package.
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Leave & Time Off Breadth — Paid vacation, personal and sick time, company holidays, and multiple paid leaves are part of the offering. Some roles also experience a year‑end holiday shutdown, though applicability can vary.
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Retirement Support — Retirement programs feature a 401(k) with employer contributions, a Core Contribution plan, and, for eligible groups, a traditional pension, plus life insurance and financial coaching. This mix is highlighted as a meaningful long‑term support structure.
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The Company
What We Do
At Bose Corporation, we’re powered by our legendary brands — Bose, McIntosh, and Sonus faber — bringing together more than 175 years of combined technical expertise, craftsmanship and artistry. Founded by Dr. Amar Bose, our company is driven by purpose and devoted to advancing what’s possible in audio — creating transformative experiences in the home, on the go, and on the road.
Why Work With Us
At Bose Corp., we’re united by a simple belief: sound is the most powerful force on earth. It moves us, focuses us, connects us. It’s why we exist to invent—advancing science and art—to deliver transformative experiences. Join us to invent what’s next—and unleash the power of sound, together. Let’s Make Waves.
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Bose Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
Framingham, MA HQ
Atlanta
Seoul, Korea
Lisbon, Portugal
Stuttgart, Germany
Tokyo, Japan
Detroit, MI
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