Genies is culture’s avatar technology company empowering developers and artists to create their own interoperable gamified consumer experiences. The company has raised $250 million from investors including Silver Lake, BOND, NEA, and Bob Iger. Initially, Genies were adopted by thousands of Hollywood icons including Justin Bieber and Rihanna through partnerships with Universal Music Group and Warner Music Group. Today, the company is also delivering avatars to the masses through experiences built with its Developer Kit and artist crowdsourced platform, The Workshop. These experiences all form one avatar social network, Genies Party, where assets and personalities are interoperable.

Genies


Machine Learning Infrastructure Engineer, 3D Model Inference & Deployment

Machine Learning Engineer, Character Animation & Motion AI

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Engineering Manager, Machine Learning

2025 Summer Backend Engineer Intern

Machine Learning Engineer: 3D Generative AI

As a Machine Learning Infrastructure Engineer at Genies, you'll be responsible for deploying generative 3D models (Diffusion, GANs, VAEs, NeRF, Gaussian Splatting) in cloud environments, optimizing inference pipelines (ONNX, TensorRT, Triton, CUDA, PyTorch), and developing scalable cloud architectures (AWS, Kubernetes, Lambda, GitHub Actions) for real-time 3D asset generation.  You'll collaborate with graphics teams to integrate ML models into rendering pipelines and implement distributed training and fine-tuning workflows for 3D models.  This role requires a strong background in machine learning, cloud technologies, and 3D data processing. You'll be expected to propose innovative solutions and work collaboratively with cross-functional teams.

<div class="job__description body"><div>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” &amp; “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.
Early adopters of Genies’ first gen avatars include icons like Justin Bieber, Rihanna, J Balvin, Migos, and thousands more. With offices in Los Angeles and San Francisco, Genies has raised $200M from notable investors including Silver Lake, BOND, NEA, and Bob Iger.
We are seeking an ML Infrastructure Engineer with a passion for highly configurable digital avatars and intuitive content tools that empower user creativity. In this role, you will help design and implement machine learning models, conduct advanced data analysis, and develop sophisticated algorithms to tackle complex optimization and deployment challenges. You will be expected to propose innovative, data-driven solutions with minimal oversight on new assignments. Strong collaboration with colleagues and cross-functional teams is essential to ensure the seamless deployment of machine learning systems. Additionally, staying at the forefront of advancements in machine learning and artificial intelligence will be key to your success in this role.
What You’ll be Doing:&nbsp;
<ul>
<li>Deploy generative 3D models (Diffusion, GANs, VAEs, NeRF, Gaussian Splatting) in cloud environments.</li>
<li>Optimize inference pipelines (ONNX, TensorRT, Triton, CUDA, PyTorch) for 3D model serving.</li>
<li>Develop scalable cloud architectures (AWS, Kubernetes, Lambda, GitHub Actions) for real-time 3D asset generation.</li>
<li>Work with graphics teams to integrate ML models into rendering pipelines.</li>
<li>Implement distributed training and fine-tuning workflows for 3D models.</li>
</ul>
What You Should Have:&nbsp;
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.</li>
<li>5+ years of experience in machine learning or related fields.</li>
<li>Experience with data structures, data modeling, and software architecture.</li>
<li>ML deployment &amp; optimization (TensorRT, ONNX, Triton, CUDA, PyTorch).</li>
<li>Cloud orchestration &amp; CI/CD (AWS, Kubernetes, GitHub Actions, Terraform).</li>
<li>Scalability experience with large 3D datasets &amp; generative models.</li>
<li>Knowledge of 3D data formats (USD, glTF, FBX) and processing.</li>
<li>C++&nbsp; experience for high-performance ML execution.</li>
</ul>
Starting Salary Range: $165,000 - $230,000
Here's why you'll love working at Genies:
<ul>
<li>You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development</li>
<li>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</li>
<li>You'll enjoy the culture and perks of a startup, with the stability of being well funded&nbsp;</li>
<li>Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance</li>
<li>Competitive salaries for all full time employees&nbsp;</li>
<li>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</li>
<li>Health &amp; wellness support through programs such as monthly wellness reimbursement&nbsp;</li>
<li>Working in a brand new, bright, open-environment and fun office space - there’s even a slide!&nbsp;</li>
<li>Choice of MacBook or windows laptop</li>
</ul>
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.
&nbsp;</div></div>

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