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 integrate together to form one avatar social network, Genies Party.
Genies is looking for an Applied Scientist Intern to join us this summer. Based at our Bay Area office in San Mateo CA, you will work closely with a dedicated and talented team of Engineers and Researchers. In this role, you'll be diving into the innovative intersection of LLM, data and gaming. Your role will be instrumental in developing a cutting-edge system, underpinned by advanced LLM, to unlock new dimensions of designer and player interaction. 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 game designing and playing experience.
What You’ll be Doing:
- Conduct research and develop LLM-driven solutions and pipelines aimed at transforming game development approaches through comprehensive analysis and strategic insights.
- Design evaluations and perform both controlled experiments and observational analyses to assess system effectiveness.
- Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks.
- Explore the feasibility of productization, identifying issues and gaps that may lead to direct production implementations or inspire new research directions for publication.
- Present the culmination of your work to both the team and the broader company, showcasing the impact and potential of your contributions.
Minimum Requirements:
- 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 natural language processing techniques.
- 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.
Preferred Requirements:
- Currently enrolled in a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Demonstrated experience in developing LLM-driven solutions and pipelines.
- Deep understanding of and experience with the latest natural language processing techniques.
- Published research or participation in academic journals or conferences.
- Demonstrated coding skills and hands-on experience working with LLMs and familiarity with popular prompt methods such as chain-of-thought, and graph-of-thought.
- Experience using SQL or other query languages and doing data analysis, and statistics in python
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 hybrid(office+home) policy
- You'll enjoy the culture and perks of a startup, with the stability of being well funded
Compensation Range: $35 to $50 per hour based on qualifications
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.
