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Machine Learning Engineer - Genies

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Job Title
Machine Learning Engineer
Job Location
Los Angeles, CA
Job Description

Genies is Gen Z’s leading avatar technology company empowering humans to create their own avatar ecosystems. Genies provides tools that allow users to create their own avatars, avatar wearable fashion lines, avatar worlds, and avatar interactive experiences in web3. The company has 99% celebrity avatar market share through its partnerships with Universal Music Group and Warner Music Group as their “official avatar and digital goods provider with thousands of Genie creators including Justin Bieber, Migos, Cardi B, and J Balvin. Our avatar marketplace “The Warehouse” built with Dapper Labs, allows creators to design and sell their avatar ecosystem creations (i.e. avatar fashion lines) to the masses. Genies has raised $200M from investors such as Silver Lake, BOND, NEA, and Breyer Capital.

Genies is seeking Machine Learning Engineers to join our growing team and contribute to our R&D initiatives. In this role, you will be instrumental in designing, developing, and deploying machine learning models that produce high-quality, dynamic content for our digital avatars. Collaborating closely with our content and creative teams, you will incorporate AI and machine learning capabilities into our creator tools and product offerings. This opportunity not only allows you to join a dynamic startup at the forefront of a new industry and emerging technologies, but also to become one of the pioneering engineers shaping the future of consumer self-expression and creativity. We believe that the future of consumer social experiences will be consumer, creator and developer driven, and we are looking for a thought partner who can assist us in accomplishing our vision of transforming digital identity, representation, and social experiences.

What You'll Be Doing:

  • Collaborate with R&D and Application teams to integrate AI/ML/CV solutions into our avatar creation ecosystem.
  • Develop AI/ML-powered tools for content creation in partnership with Product and Creative teams.
  • Design, train, deploy, optimize, and fine-tune ML models and technical frameworks.
  • Apply practical expertise in implementing white paper concepts to develop user-facing creative technologies.
  • Stay up-to-date with AIGC innovation advancements and advise on technical integration strategies.
  • Manage ML framework resources and infrastructure, including dataset sizes, client/cloud computing options, and model training and deployment techniques.
  • Utilize a strong understanding of computer graphics pipelines, computational geometry, and 3D principles to synthesize meshes, images, and motion.
  • Communicate technical decisions and project updates to stakeholders such as engineers, designers, and product managers.
  • Guide and mentor engineering team members to enhance performance and productivity.

What You Should Have:

  • Bachelor's degree or higher in Computer Science, Computer Graphics, or related field, with a strong background in machine learning and AI.
  • Proficiency in Python programming and extensive experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Broad knowledge of AIGC systems, innovations, resources, and AI-generated content methods.
  • Experience with AI-driven content creation, such as pose estimation, 3D model generation, and/or avatar behavioral systems.
  • Excellent communication and teamwork skills; ability to collaborate effectively with cross-functional teams and stakeholders.
  • Background in computer graphics, computational geometry, and 3D principles is a plus.

How Genies will support you

Genies is a well-funded, growing start-up that cares deeply about each of our employees' growth and success. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future. Full-time employees may also be eligible for equity compensation, in addition to a robust health, wellness, and benefits package. 

Starting Salary Range: $140,000 to $200,000.00 USD

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 and 401K program for all full time employees 
  • Flexible 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.

Genies Headquarters Location

Los Angeles, CA

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Genies Company Size

Between 90 - 500 employees

Genies Founded Year


Genies Total Amount Raised


Genies Funding Rounds

View funding details
  • Series C

    $150,000,000 USD

  • Series B

    $65,000,000 USD

  • Corporate Round

    $3,000,000 USD

  • Series Unknown

    $25,164,358 USD

  • Series Unknown

    $10,000,000 USD

  • Series Unknown

    $1,550,000 USD

  • Series Unknown

    $3,000,000 USD

  • Series Unknown

    $250,000 USD

  • Series A

    $6,300,000 USD

  • Seed

    $2,700,000 USD