Senior AI Audio Engineering Leader

Epidemic Sound; Stockholms kommun; On-site; SEK 1,200,000 - 1,800,000; Full time

Job summary

Epidemic Sound, headquartered in Stockholm, seeks a Senior Engineering Manager to lead the Sound Solutions team. You will drive AI-powered music adaptation capabilities, translate research into scalable production systems, and own delivery and technical direction for creators’ sonic experiences.

You will mentor ML and software engineers, collaborate with product, data, and MLOps teams, and shape a path from training to real-time inference, ensuring reliability and growth as usage expands.

Qualifications

• Proven track record leading ML and software teams that ship production ML systems.
• Strong understanding of ML lifecycle: training, evaluation, deployment, and fine-tuning.
• Experience delivering production-grade backend services for ML-powered products.
• Experience scaling ML-powered products with more users, lower latency, and cost control.
• Ability to set direction and maintain focus in ambiguous environments.
• Product-minded collaboration with product teams to prioritize creator-facing features.
• Experience with audio or music domains is a plus.

Responsibilities

• Lead the Sound Solutions team from model training to live production and real-time inference.
• Own technical direction, prioritize work with PM, balance quality, speed, and cost.
• Shape model strategy: evaluate models, open-source solutions, vendor options.
• Foster high-ownership culture through mentorship and feedback.
• Collaborate with data, MLOps, and product engineering to integrate AI into creator experiences.

Skills

Engineering leadership

ML systems

Production software

Real-time inference

Backend services

ML lifecycle

Product collaboration

Mentorship

Job description

Epidemic Sound, headquartered in Stockholm, seeks a Senior Engineering Manager to lead the Sound Solutions team. You will drive AI-powered music adaptation capabilities, translate research into scalable production systems, and own delivery and technical direction for creators’ sonic experiences.

You will mentor ML and software engineers, collaborate with product, data, and MLOps teams, and shape a path from training to real-time inference, ensuring reliability and growth as usage expands.