Engineering Manager, Machine Learning

Job Description

Genies is seeking an Engineering Manager, Machine Learning to lead a team of machine learning engineers. The Engineering Manager will execute department strategies and achieve key performance metrics. They will also guide the professional development of their direct reports, ensuring the team's skills and knowledge are up-to-date. The role also involves overseeing the design, development, and deployment of machine learning models and algorithms and collaborating with other departments to integrate these models into the company's products or services. They are expected to maintain a balance between hands-on technical work and managerial duties and will foster a culture of continuous improvement and innovation within the team.

This individual will be working at Genies, an AI avatar and games technology company.

The role involves:

• Leading a team of machine learning engineers.
• Guiding professional development of direct reports.
• Overseeing design, development, and deployment of ML models.
• Collaborating with other departments.
• Maintaining a balance between technical work and managerial duties.
• Fostering a culture of continuous improvement and innovation.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in machine learning or related fields.
• 2+ years of experience in a leadership or managerial role.
• Insight into the most efficient ways to bring ML technologies to production.
• Experience with data structures, data modeling, and software architecture.
• ML-based optimization techniques for 3D meshes, textures, and rendering.
• Deep learning & generative models (Diffusion, VAEs, GANs, NeRF).
• Experience in the current NLP and LLM technology evolution.
• Experience with real-time graphics engines (Unreal, Unity).
• Strong C++ or CUDA skills for ML-powered rendering acceleration.
• Knowledge of OpenUSD, Houdini, shaders (bonus).

Genies offers:

• A team that you’ll be able to learn from and grow with, including support for your own professional development
• Flexible hours and a work from home policy
• Comprehensive health insurance, dental and vision insurance
• Competitive salaries
• Unlimited paid time off, sick time, and paid company holidays
• Health & wellness support programs