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This job is closed
Genies is cultureâs 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 a 3D Machine Learning Engineering Intern to join our R&D group this summer. Based at our headquarters in Los Angeles (Hybrid), you will work closely with a dedicated and talented team of Technical Artists and Engineers. Together, you will explore new concepts and technologies to further Genies' mission of empowering users to develop their own avatar ecosystems. You will contribute in developing solutions that construct and manipulate 3D geometry and textures, including avatars, wearables and their environments. 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.
What Youâll be Doing:
- Acquiring a deep knowledge of the avatar technology landscape, including relevant product domains, codebases, and systems
- Working with an interdisciplinary team to develop ML and graphics solutions that create and augment meshes and textures in our avatar ecosystem
- Showcasing excellence in refining and optimizing software for machine learning, ensuring it meets high standards of maintainability, quality, resilience, and performance
- Presenting the culmination of your work to the team and company
What You Should Have:
- Currently has, or is in the process of obtaining a Bachelor or Master degree in Computer Science or a related STEM field
- Solid foundation in 3D math, linear algebra, computational geometry and numerical analysis
- Familiarity with ML frameworks like PyTorch, Tensorflow etc. on ML projects
- Ability to interpret and implement an algorithm, using appropriate data structures to efficiently solve a problem
- Experience with one or more programming languages or frameworks, including but not limited to: Python, C++, C#, HLSL/GLSL, Swift
- Familiarity with version control systems (i.e. Git)
- Familiarity with the graphics pipeline and 3D software packages for manipulating data
- Intent to return to a degree program after the completion of the internship
Here's why you'll love working at Genies:
- You'll work with a team that youâll 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.
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.