Director, ML & Applied AI Research for Gaming

Unity Technologies; Singapore; On-site; SGD 292,000 - 437,000; Full time

Benefits offered by this job

Equity awards

Discretionary bonuses

Commuter subsidy

Job summary

Unity Technologies in Singapore seeks a Director of Machine Learning to lead an applied AI research team. You will set the technical direction, mentor researchers and engineers, and translate breakthroughs into scalable models for Unity products and creators. You will collaborate across Unity's global AI org and drive rigorous experimentation and model quality.

The role emphasizes hands-on leadership, hiring, and building production-ready ML systems to impact millions of users worldwide.

Qualifications

• Experience leading applied ML/AI research teams.
• Experience taking ML models from research to production at scale.
• Deep expertise in modern ML, including deep learning and large language or multimodal models.

Responsibilities

• Lead and grow an applied AI research team in Singapore.
• Set the technical direction and roadmap for your team's research, in partnership with Gaming AI leadership.
• Move research from prototype to production, shipping models and systems that create real value for Unity products and creators.
• Partner with product, engineering, and research teams across Unity's global AI organization to align research with business priorities.
• Establish strong practices for experimentation, evaluation, and model quality.

Skills

Applied ML leadership

Team leadership

Roadmap setting

Production ML

PyTorch/JAX

Education

PhD in CS/ML

Tools

PyTorch

JAX

Job description

Unity Technologies in Singapore seeks a Director of Machine Learning to lead an applied AI research team. You will set the technical direction, mentor researchers and engineers, and translate breakthroughs into scalable models for Unity products and creators. You will collaborate across Unity's global AI org and drive rigorous experimentation and model quality.

The role emphasizes hands-on leadership, hiring, and building production-ready ML systems to impact millions of users worldwide.