Drive machine learning model releases for Higgs Audio, combining release planning, evaluation analysis, and issue prioritization at Boson AI.

This hands-on senior individual contributor owns the path from research to launch. You will establish documented quality bars, coordinate model changes across products and channels, and manage versioning and deprecation. The work spans evaluation reports, listening tests, latency, cost, voice-cloning similarity, and error rates across 100+ languages.

Key Responsibilities

Set release schedules and lead documented go-no-go reviews

Coordinate model versions across APIs, open weights, repositories, and partners

Assess regressions through benchmarks, listening tests, latency, and cost

Manage version names, migration guides, and deprecation notices

Track cadence,



customer regressions, issue resolution, adoption, and satisfaction

Requirements

5+ years in software project, program, or product management

2+ years managing technical products, including APIs or machine learning models

Release ownership with schedules, checklists, and launch decisions

Ability to read logs and analyze results using SQL, spreadsheets, or notebooks

Experience releasing machine learning models is preferred

Use release discipline, model evaluation, and technical fluency to guide dependable Higgs Audio launches from research onward.

📌 Machine Learning Release Manager (Winnipeg)
🏢 Boson AI
📍 Winnipeg