Software Engineer (New Grad)

algojobs; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Fast-paced startup environment

Opportunity for growth and learning

Collaborative team culture

Job summary

A cutting-edge AI research lab is seeking a Software Engineer to advance visual generative AI. You will develop machine learning techniques and collaborate with researchers. Ideal candidates have a background in Machine Learning, generative models, and strong Python skills. This is an onsite position in San Francisco, where teamwork and innovation drive impactful product development.

Qualifications

• 2+ years of experience in Machine Learning.
• Strong foundation in generative models.
• Understanding of fundamental concepts in computer vision.

Responsibilities

• Contribute to the development of novel machine learning techniques.
• Implement and experiment with various generative architectures.
• Help optimize model performance.

Skills

Machine Learning

Generative Models

Programming in Python

PyTorch

TensorFlow

Computer Vision

Clear Communication

Education

BS or MS in Computer Science, Machine Learning, or related field

Tools

Deep Learning Frameworks

Job description

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.

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.