Description:

Hop Labs is seeking a Machine Learning Software Engineer to build and deploy machine learning production systems at scale.
The company works with a diverse range of clients, from startups to Fortune 10 companies, on various projects including LLM generative AI products and autonomous vehicle engineering support.
The position is fully remote, primarily based in the U.S., and involves working with a small team of 10-15 members depending on project needs.
The work environment is results-oriented with a strong emphasis on flexibility and maintaining a work-life balance.
The company values the use of the right tools for the job, often utilizing Python, PyTorch, and AWS.

Requirements:

Candidates should have experience in building and improving ML-powered systems, with a keen interest in LLMs, generative AI, or deep learning.
A strong ability to solve complex technical problems at scale for real business impact is essential.
Applicants must be comfortable proposing end-to-end technical architectures that consider modularity, scalability, operations, security, and cost.
Clarity and simplicity in both code and communication are highly valued.
A minimum of 5 years of professional experience in software engineering is required, with the ability to present as an expert in client-facing situations.
Key qualities include a strong sense of ownership and initiative, clear and consistent communication, a collaborative mindset, attention to detail, and the ability to operate independently or as part of a small team.
Specific skills required include experience with the entire ML pipeline, fluency in the Python ML/data science stack, proficiency in cloud engineering (AWS/Azure/GCP), and familiarity with ETL/data pipelines and web application technologies.
Candidates must have residency and authorization to work in the U.S. or Canada.