Lead Applied ML Engineer, Real-time 3D Asset Optimization

Genies, Inc.; San Mateo, California, Los Angeles (CA, MO, CA); On-site; USD 120,000 - 160,000; Full time

Job summary

An innovative firm is on the lookout for a Lead Applied ML Engineer to join their dynamic team. This role involves designing and implementing advanced machine learning models to tackle complex graphics challenges, enhancing user-generated content through AI avatars. You will collaborate with cross-functional teams to optimize ML solutions while guiding junior professionals. With a focus on creativity and cutting-edge technology, this position offers the chance to shape the future of digital experiences in a supportive environment that values professional growth and innovation. Join a well-funded startup that combines the excitement of a new venture with the stability of established funding.

Benefits

Comprehensive health insurance

Unlimited paid time off

Flexible hours

Professional development support

Health & wellness support

Choice of MacBook or Windows laptop

Fun office space with a slide

Qualifications

• 8+ years in machine learning with expertise in 3D graphics and rendering.
• Strong skills in C++ and CUDA for ML-powered rendering acceleration.

Responsibilities

• Develop ML-powered techniques for real-time rendering and optimization.
• Collaborate with teams to integrate AI assets into rendering pipelines.

Skills

Machine Learning

Deep Learning

C++

CUDA

Data Structures

3D Graphics Optimization

Generative Models

Real-time Graphics Engines

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Tools

TensorRT

Vulkan

Unreal Engine

Unity

OpenUSD

Houdini

Job description

Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' technology stack is rooted in empowering user generated content through the company's two main mantras:

“Anyone can create anything” & “Everything works with everything”

By combining these two guiding principles, individuals can craft limitless experiences while IP owners can build dynamic social gaming ecosystems powered by user-generated content (UGC) and AI Avatars—what Genies calls "Parties."

Genies' technology stack features a comprehensive suite of UGC tools that enable anyone to create AI avatars, complete with customizable fashion, props, behaviors, and personalities, as well as immersive AI avatar experiences. At its core is the Genies Avatar Framework, which leverages machine learning and computer graphics to ensure seamless interoperability across all user-generated AI avatars and experiences—unlocking boundless creative potential.

We are seeking a Lead Applied ML Engineer with a passion for highly configurable digital avatars and intuitive content tools that empower user creativity. In this role, you will design and implement advanced machine learning models, algorithms, and systems to solve complex graphics and geometry challenges. As a subject matter expert, you will provide technical guidance to junior professionals and play a key role in shaping machine learning strategies. Your responsibilities will also include researching emerging technologies and methodologies to enhance system performance, as well as collaborating with cross-functional teams to ensure the seamless deployment, scalability, and optimization of ML solutions.

What You’ll be Doing:

• Develop ML-powered mesh and texture compression techniques for real-time rendering.
• Optimize NeRF, Gaussian Splatting, and Diffusion-based 3D assets for mobile/XR/games.
• Improve 3D model decimation, LOD (level of detail) generation, and efficient rendering.
• Work with graphics engineers to integrate AI-generated assets into rendering pipelines.
• Implement real-time inference optimizations (TensorRT, CUDA, Vulkan, Triton, ONNX).

What You Should Have:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in machine learning or related fields.
• 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 with real-time graphics engines (Unreal, Unity).
• Strong C++ or CUDA skills for ML-powered rendering acceleration.
• Knowledge of OpenUSD, Houdini, shaders (bonus).

Here's why you'll love working at Genies:

• You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development.
• You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy.
• You'll enjoy the culture and perks of a startup, with the stability of being well funded.
• Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance.
• Competitive salaries for all full-time employees.
• Unlimited paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees.
• Health & wellness support through programs such as monthly wellness reimbursement.
• Working in a brand new, bright, open-environment and fun office space - there’s even a slide!
• Choice of MacBook or windows laptop.

Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone.

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