ML Documentation Engineer
Location: Remote (Candidate needs to work PST)
Duration: 6 months
Schedule: 40 hours
Pay: $90-$93.28 DOE

The Planet Group is looking for a ML Documentation Engineer to join our well-known Fortune 500 client on a 6-month contract, working in a remote schedule.

ML Documentation Engineer | Qualifications:

• Demonstrated experience writing developer documentation for machine learning or AI frameworks and tooling, with hands-on familiarity with concepts such as model conversion and compression, quantization and optimization techniques, Python-based ML workflows, hardware-accelerated inference, and SDK/API documentation for ML platforms (PyTorch, Core ML, ONNX, etc.). 
• Strong skills in information architecture, cross-component narrative cohesion, terminology alignment, and adherence to developer documentation style standards are essential.
• The ideal candidate is a proactive communicator who is comfortable driving work forward independently, managing competing priorities, and delivering high-quality documentation on tight timelines.
• Experience supporting developer conferences or launch-driven documentation cycles is a strong plus.

ML Documentation Engineer | Description:

• Lead developer-facing documentation for on device ML platform and frameworks. 
• In this embedded role, the candidate will take strong ownership of content strategy, information architecture, and content authoring across multiple interconnected components including key APIs, optimization tooling, framework integrations, and developer tooling — with close support from the engineering team.
• The candidate will work directly alongside engineering teams to rapidly build deep technical context and translate complex ML and AI concepts into clear, accurate, and developer-friendly documentation — including platform overviews, getting started guides, key workflow tutorials, API/SDK references, and troubleshooting content.