Senior ML Engineer – Distributed RL & Post-Training Infrastructure

Remote R

A USD 204K-350K (estimate) Senior-level Full Time

@ R...

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Found 1d ago

Tasks

Architect distributed reinforcement learning infrastructure
Balance inference loads across distributed compute network
Build fault tolerant model evaluation systems
Build high throughput model evaluation and ranking infrastructure
Create real time leaderboards and contribution tracking
Design automated validation and improvement detection
Develop copy detection and decoy detection systems
Develop post training pipelines for downloading fine tuning resubmitting models
Implement PPO GRPO and RL techniques for coding and reasoning
Implement anti gaming and sybil resistance mechanisms
Implement multi-objective optimization
Monitor and improve system performance
Optimize distributed caching model diffing and monitoring
Scale system for high volume model submissions
Use cryptographic proofs for model ownership integrity verification

Perks/Benefits

Skills/Tech-stack

Education

N/A

Roles

Engineer | Learning Engineer | Machine Learning Engineer | Senior Machine Learning Engineer

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