This job post is closed and the position is probably filled. Please do not apply.
π€ Automatically closed by a robot after apply link
was detected as broken.
Description:
Hop Labs is seeking a Machine Learning Software Engineer to work on building and deploying machine learning production systems at scale for a variety of clients, ranging from startups to Fortune 10 companies.
The role involves working on diverse projects such as LLM generative AI products, engineering support in autonomous vehicles, and scalable experiment frameworks.
The company is fully distributed, with team members working remotely across the United States.
Projects typically involve Python, PyTorch, and AWS, but the company is open to using the most suitable tools for each project.
Requirements:
Candidates should have experience in building and enhancing ML-powered systems, with a particular interest in LLMs, generative AI, or deep learning.
Ability to solve complex technical problems at scale to drive real business impact.
Proficiency in proposing end-to-end technical architectures that consider modularity, scalability, operations, security, and cost.
Emphasis on clarity and simplicity in both code and communication.
Minimum of 5 years of professional experience in software engineering, with the ability to present as an expert in client-facing scenarios.
Key qualities include a strong sense of ownership, clear and consistent communication, collaborative mindset, clear thinking, attention to detail, and comfort working independently or as part of a small team in a remote setup.
Benefits:
Medical benefits, life and disability insurance provided.