Fullstack Machine Learning Engineer

Data Science & Analytics

**Globally Remote**

24 May 2023

Full Time

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Gensyn is the hyperscale, cost-efficient compute protocol for the world’s deep learning models.

Build the Gensyn SDK – design and create user-facing frameworks to enable friction-less access to the Gensyn network
Build execution frameworks – design and create low-level, containerised execution frameworks to train models on remote hardware
Implement novel research – build out newly proposed model distribution methods and low-level primitives to train huge models over a completely new infrastructure
Follow best practices – build in the open with a keen focus on designing, testing, and documenting your code
Write & engage – contribute to technical reports/papers describing the system and discuss with the community

Framework development – experience working on frameworks themselves (e.g. PyTorch, TensorFlow, JAX, etc..) rather than just using them
Open source work – experience working with large open source codebases (ideally as maintainer)
Infrastructure experience – previously provisioned and/or configured large-scale infrastructure for ML training tasks
Appreciation for dev experience – strong opinions on the developer experience around existing ML tools and frameworks and how this can be improved
Huge-scale model training – previously trained enormous distributed models (e.g. LLMs) over distributed infrastructure
Background in relevant theory – i.e. computer science, machine learning, algorithms, distributed systems

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