Genmo Logo

Genmo

Research Engineer (New Grad)

Reposted 2 Months Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Join Genmo as a Research Engineer to develop novel machine learning techniques in generative AI, collaborating on model performance and deployment.
The summary above was generated by AI

We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.

About the Role

We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment.

What You'll Do
  • Contribute to the development of novel machine learning techniques for visual generative modeling

  • Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers)

  • Help optimize model performance and scaling capabilities

  • Assist in ensuring safe and robust model deployment

  • Collaborate with cross-functional teams to integrate research innovations

  • Participate in research discussions and contribute to technical documentation

Required Qualifications
  • BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome)

  • 2+ years of experience in Machine Learning

  • Strong foundation in machine learning, particularly generative models

  • Solid programming skills in Python and PyTorch/TensorFlow

  • Experience with deep learning frameworks and model training

  • Understanding of fundamental concepts in computer vision and generative AI

  • Project experience (academic or personal) with generative models

  • Clear communication skills and ability to work in a research team

Preferred Qualifications
  • Research projects or thesis work in generative AI

  • Experience with different types of generative models:

    • Diffusion Models

    • GANs

    • Transformer architectures

    • Large Language Models

  • Familiarity with distributed computing and GPU optimization

  • Contributions to open-source ML projects

  • Academic publications or workshop papers

  • Experience with ML infrastructure and deployment

This position is onsite at our San Francisco office (4–5 days per week).

We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key.

Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

HQ

Genmo San Francisco, California, USA Office

2261 Market Street, San Francisco, CA, United States

Similar Jobs

2 Months Ago
In-Office
Sunnyvale, CA, USA
140K-200K Annually
Entry level
140K-200K Annually
Entry level
Hardware • Industrial
Early-career research engineer role translating ML and robotics research into deployed autonomy systems. Collaborate on end-to-end algorithms, simulation-driven data generation, safety and robustness research, and author publications with research scientists and interns.
Top Skills: Computer VisionDistributed Machine LearningPythonPyTorchRobotics Systems
A Minute Ago
In-Office
99K-162K Annually
Junior
99K-162K Annually
Junior
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Develops and verifies satellite ground systems for Boeing’s MILSATCOM program. Responsibilities include requirements analysis and decomposition, systems architecture, interface design, integration and testing, verification, demonstrations, and test documentation. The role supports C2 software development in an agile environment, requirements and risk management, system-of-systems analysis, and customer delivery. This is a fully onsite position requiring an active U.S. Secret clearance and U.S. person status.
Top Skills: AgileCommand And Control (C2) SoftwareConfluenceJIRAModel Based Systems Engineering (Mbse)Requirements ManagementSystems IntegrationSystems Testing
A Minute Ago
In-Office
63K-78K Annually
Entry level
63K-78K Annually
Entry level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Supports procurement activities by obtaining and evaluating supplier proposals, monitoring supplier performance, analyzing demand and supply, assisting with sourcing strategies and negotiations, and documenting contracts in compliance with company and federal acquisition requirements. The role is fully onsite, first shift, may require up to 15% travel, and requires U.S. citizenship and the ability to obtain a Top Secret/SCI clearance.
Top Skills: ExcelMicrosoft PowerpointMicrosoft Word

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account