ML Software Engineer

at  Hop Labs

THE PROCESS

If you’re excited to apply, we’re excited to hear from you! Please provide some initial information by answering a few questions here. Our team will respond with more information and next steps.
(If you are unable to complete the form linked above, please email us with your resume at hiring@hoplabs.com.)

We are looking to hire a Machine Learning Software Engineer. Titles can be arbitrary, but for us this means a software engineer who writes code, builds infrastructure, and implements machine learning algorithms. You should consider yourself a good fit for this if:

• You have experience building and improving ML-powered systems and an interest in developing your skills there – bonus points if you’re interested in LLMs, generative AI, or deep learning in general.
• You enjoy solving hard technical problems at scale, for real business impact.
• You’re comfortable proposing end-to-end technical architectures that balance modularity, scalability, operations, security, and cost.
• You understand that clarity and simplicity - in code and in communication - are worth striving for.
• You have 5+ years of professional experience in software engineering and are able to present as an expert in client-facing situations.

As a distributed team, some key qualities are particularly important for all of us at Hop Labs:

• A strong sense of ownership and initiative: You take your task or issue seriously and proactively drive it start-to-finish.
• Clear and consistent communication: You can speak to lay people and engineers alike about issues, and keep teammates and clients informed on progress.
• A collaborative mindset: You approach your work as part of a larger team effort, and can take and give constructive feedback well.
• Clear thinking and attention to detail for complex projects: You are committed to a crisp understanding of what you’re doing and why, paired with careful planning and attention to details.
• Comfort with operating independently as well as part of a small, targeted team: You are flexible in working successfully in either context, in a fully remote environment.

What we’re looking for specifically for this role:

• Experience with construction and design of the entire ML pipeline, including training, deployment, and hosting in a production environment, using engineering best practices (e.g., unit testing, monitoring, logging)
• Fluency in the Python ML/data science stack (e.g., PyTorch, Scikit-Learn, Pandas)
• Proficiency in cloud engineering (AWS/Azure/GCP) and infrastructure-as-code (e.g., Terraform or equivalent)
• Proficiency with ETL/data pipelines and data stores
• Facility with web application technologies (e.g., FastUI, UI development)
• Open to all backgrounds, though deep learning/LLM background strongly preferred
• Location: remote within the U.S. or Canada

Residency and authorization to work in the U.S. or Canada is required.
If this role sounds like a good fit for you, please reach out! We’ve made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life.