Work Snapshot
Type: Hourly Contract
Location: Remote
Commitment: Sprint-based project running in 12-24 hour stretches based on project requirements
Commission: $85/hour (Typical accepted tasks pay approximately $400 and take 2-3 hours after ramp-up).

What You'll Be Doing
Complete and evaluate complex machine learning engineering tasks using coding agents.
Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
Identify bugs, edge cases, performance issues, and system failure modes.
Compare outputs from multiple models and assess strengths and weaknesses.
Apply engineering judgment to real-world machine learning engineering scenarios.

What We Re Looking For
Strong experience in machine learning engineering.
Strong experience building production ML systems, model deployment infrastructure, LLM applications, or intelligent software products.
Strong experience using coding agents and developer productivity tools.
Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
Strong experience deploying machine learning systems to production environments.

Application Process
Submit your application through the Easy Apply button.
Each application will be reviewed against the role requirements.
Candidates who meet the requirements will receive an email with the next steps.
Follow the instructions provided in the email to complete the remaining application process.

ML Platform Engineer | Remote

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