Giga ML

Platform to train and deploy on-premise LLMs

Founding Engineer

$150K - $250K / 0.50% - 1.00%
San Francisco, CA, US
Job Type
Any (new grads ok)
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Varun Vummadi
Varun Vummadi

About the role

Location: San Francisco (Relocation required)
CTC: USD 150k-250k (Base salary) + 0.5% - 1.0% (Equity)
Investors: Backed by Y Combinator and Nexus Venture Partners. Angel investor: Garry Tan, CEO of YC.

Key Qualifications:

For All Applicants (United States and India):

  • Back-end Skills: Strong background in Python. Familiarity with Django is a plus.
  • Front-end Skills: Proficiency in React and Material UI.
  • Scalability: Hands-on experience with Kubernetes to ensure web applications scale efficiently.
  • Cloud Platforms: Knowledge of AWS, GCP, and Azure. --

Core Responsibilities:

  • Building MVPs: Rapidly build, test, and iterate on multiple MVPs to validate product ideas and achieve product-market fit.
  • Technical Leadership: Provide technical direction and make critical decisions on technology choices and architecture.
  • Cross-functional Collaboration: Work closely with co-founders and other team members to translate business vision into actionable project plans.
  • Agile Development: Lead a fast-paced, iterative development process, adapting quickly to feedback and emerging business needs.
  • Continuous Learning and Improvement: Stay updated with emerging technologies, and continuously improve our systems to ensure Giga ML stays at the forefront of technological advancement.

What You'll Gain:

  • Impact: Have a significant impact by contributing to cutting-edge ML projects that are reshaping industries.
  • Growth: Evolve in a fast-paced, forward-thinking environment alongside other innovative minds.
  • Recognition: Gain recognition as a core member of a high-profile project.
  • Innovation: Lead in a culture of continuous innovation, working with advanced tools and technologies.
  • Autonomy: Enjoy a high degree of autonomy and ownership over the technical direction of Giga ML.

Note: We recommend testing our model before applying at

Learn more about Giga ML at

About Giga ML

We provide secure on-premise Large Language Models (LLMs) to enterprises with our X1 Large model. You can try out the model here. Co-founded by Varun, who left a PhD offer at Stanford, and Esha, institute rank three at IIT Kharagpur, we have worked together to outperform Claude 2 on the MT bench with a score of 8.4 vs. 8.06. Y Combinator backs us. Our models address three critical challenges:

  • Pre-Training: Existing Large Language Models (LLMs) cannot pre-train on specific text data, limiting their effectiveness in specialized domains like healthcare, legal, and finance.
  • Fine-tuning: The current LLMs cannot be fine-tuned for specific output structures, restricting their adaptability in critical areas.
  • Privacy: Our on-premise solutions overcome organizations' security and privacy concerns when handling sensitive customer data with third-party servers like OpenAI.

The most significant advantages of Giga ML compared to other solutions:

  • Benchmark Dominance: The most powerful model available for on-prem deployment on every benchmark.
  • Fastest Inference: 2.2x faster than traditional hugging face TGI.
  • Super Customizable: Outperforming GPT4 for customer-specific use cases.

Find out more at

Giga ML
Team Size:2
Location:San Francisco
Esha Manideep Dinne
Esha Manideep Dinne
Varun Vummadi
Varun Vummadi