Staff / Principal Machine Learning Engineer, Speech - Canada

Key Skills

Aartificial intelligence, JAX framework, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. Inworld powers experiences built by Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft/Xbox, Epic Games and Unity.

We are seeking Staff and Principal Machine Learning Speech Engineers with extensive experience in R&D of text-to-speech (TTS) and speech-to-text (STT) technologies. You will be at the forefront of building a generative AI stack to power next-generation AI characters.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a similar technical field.
• 6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.

Preferred Qualifications

• Master's degree or PhD in speech synthesis/recognition or adjacent fields.
• 5+ years of experience with design and architecture; and testing/launching software products.
• 1 year of experience in working with sourcing and curating speech datasets.
• 1 year of experience in a technical leadership role leading project teams and setting technical direction.

Responsibilities

• Research and experiment with cutting edge ML techniques for TTS and STT applications.
• Develop and test production-grade training and inference pipelines for TTS and STT applications.
• Understand optimization problems in the area of speech, signals, and natural language processing.

In-office location: Vancouver, Canada.

Remote location: Canada.

The Canada base salary range for this full-time position is CAD $200,000 - $300,000. In addition to base pay, total compensation includes bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.