Senior Machine Learning Engineer at Kake

Confirmed open

Own production ML systems in a worldwide remote role requiring overlap with US Eastern or Pacific time.

Kake

Location: Remote
Advertised region: Worldwide
Work arrangement: remote
Technologies: Python, AWS, Azure, GCP, Kubernetes, Docker, SQL, PyTorch, TensorFlow

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Role overview

Kake seeks an engineer to take ML solutions from architecture and experimentation through scaled production deployment.

Responsibilities

Design ML pipelines and infrastructure, deploy models, monitor performance and reliability, and resolve production issues.
Translate business goals into technical plans, guide engineers and explain tradeoffs to technical and nontechnical stakeholders.

Qualifications

Five or more years in ML engineering with production delivery, expert Python and PyTorch or TensorFlow, cloud ML systems, SQL and distributed data processing.
Strong software engineering, testing, CI/CD and English communication; LLM, RAG or MLOps experience is useful.

Technology in this role

Python: Five or more years in ML engineering with production delivery, expert Python and PyTorch or TensorFlow, cloud ML systems, SQL and distributed data processing.

About Kake

Kake describes itself as a remote-first community of experienced software engineers that helps client teams add individual engineers or full engineering groups. Its model combines technical vetting and human selection with AI-supported processes; Kake engineers work as dedicated members of client teams rather than as a separate outsourced delivery queue.

The company recruits across frontend, backend, mobile, quality engineering, data and DevOps. Its public hiring pages emphasize end-to-end ownership, collaboration with product and design, and engineering judgment. The exact client, product, team structure and employment terms can vary by opening, so candidates should verify those specifics in the individual listing.

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-08

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