AI Systems Engineer for Decentralized Infrastructure
4 weeks ago
About Lumino Labs Inc.
We are a technology company that builds infrastructure to enable anyone to create AI models. We are backed by prominent VCs such as Longhash Ventures, OP Crypto, Protocol Labs, Quaker Capital, Escape Velocity, and OrangeDAO.
As an equal employment opportunity employer, we are committed to providing a fair and inclusive work environment for all employees.
About the Role:
We're seeking an experienced AI Systems Engineer to join our team and help design the foundations of our decentralized infrastructure. The successful candidate will be responsible for designing and building AI training pipelines, optimizing training for fast performance and low costs, and conducting research on cutting-edge techniques for training on heterogeneous environments.
The ideal candidate will have 2+ years of experience as a Data Scientist or Machine Learning Engineer and expertise in Python and ML frameworks such as PyTorch, TensorFlow, and Jax. They will also have experience in building, serving, and fine-tuning machine learning and large language models.
Key Responsibilities:
- Design and develop decentralized and distributed AI training pipelines.
- Optimize training for fast performance and low costs.
- Conduct research on cutting-edge techniques for training on heterogeneous environments.
- Implement advanced model architectures and optimize model performance.
- Deploy machine learning models into production environments.
- Work closely with cross-functional teams to understand business requirements.
Requirements:
- 2+ years of experience as a Data Scientist or Machine Learning Engineer.
- Expertise in Python and ML frameworks such as PyTorch, TensorFlow, and Jax.
- Experience in building, serving, and fine-tuning machine learning and large language models.
- Strong analytical skills with the ability to navigate ML system trade-offs.
Benefits:
- Competitive salary: $150,000 - $200,000 per year.
- Share of equity pool.
- Medical, dental, and vision insurance.
- Whatever equipment you need to get the job done.
- Github Co-Pilot and ChatGPT subscription.
- 3 days week in-office with the team, 2 days a week WFH.
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