Research Engineer — Agentic Audio ML Workflows

Contract type
Ongoing
Work mode
Remote · Australia, Denmark, France, Germany +10
Experience
3 years

Job description

Develop novel AI-powered audio processing algorithms that run in real time on physical devices, building agentic tools and automation to accelerate audio ML research.

At a glance

Work mode
Remote · Australia, Denmark, France, Germany +10
Pay
USD 165,400 – 227,500 / year

What you'll do

  • 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.

What we're looking for

  • Degree in computer science, machine learning, electrical engineering, or a related field, or equivalent practical experience.
  • 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.
  • Ability to build reliable, observable systems and communicate effectively with research scientists.

Nice to have

  • Experience with orchestration frameworks, distributed training, CI/CD, or MLOps is a plus.

Benefits

  • Bonus programs
  • Comprehensive health and welfare benefits
  • 401(k) plan
  • Exclusive perks designed to support your wellbeing
  • Generous employee discount

Apply

About Bose Corporation

Let's Make Waves.

Privately owned company built on innovation, excellence, and independence, leading industries and transforming lives through sound for over 60 years.

Mission

We believe sound is the most powerful force on earth.

Key facts

  • Audio technology
  • Over 60 years of innovation
  • Privately owned
  • World leader in audio experiences
  • Operating across multiple global Business Units and Global Functions

What they value

  • Innovation
  • Excellence
  • Independence