Machine Learning Engineer Intern

### Who you are
- Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Solid understanding of machine learning concepts and recent computer vision
- Familiarity with programming languages such as Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face)
- Ability to conduct research and prototype solutions based on academic literature
- Strong problem-solving skills and the ability to work independently as well as in a team environment
- Excellent communication skills, with the ability to present findings clearly and effectively
- Experience with multi-view generation, 3D reconstruction, or view-consistent generative models
- Familiarity with diffusion models or generative AI systems
- Experience working with 3D data such as meshes, normals, or UV textures
- Knowledge of avatar generation pipelines or asset retrieval systems

### What the job involves
- Genies is looking for a ML Engineer Intern to join our R&D group this summer
- Based either in our Los Angeles or San Mateo offices (Hybrid), you will work closely with a dedicated and talented team of technical artists, engineers and artists
- Together, you will explore new concepts and technologies to further Genies' mission of empowering users to develop their own avatar ecosystems
- We're looking for someone who is passionate about creating high-quality visuals and has the technical foundation to help us build the next wave of digital identity
- Develop tools and workflows to support training and experimentation with multi-view generation models
- Explore techniques to improve multi-view consistency across generated views to ensure coherent geometry and texture reconstruction
- Prototype and evaluate models that improve the integration between 2D generation and downstream 3D reconstruction pipelines
- Benchmark model outputs and analyze results to identify failure cases and opportunities for improvement
- Collaborate with engineers and researchers across graphics, ML, and avatar systems, and present findings and recommendations

### Benefits
- 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 and 401K program for all full time employees
- Flexible paid time off, sick time, monthly mental health days 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