
Machine Learning Engineer – Model Evaluation, Experimentation
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in United States.
• Create well-structured, multi-phase machine learning tasks inspired by genuine ML research concepts.
• Implement modifications, conduct training experiments, and assess outcomes to determine effective solutions.
• Develop tasks centered around reinforcement learning principles, including reward functions and training behaviors.
• Analyze cutting-edge models and pinpoint areas where they underperform and the reasons behind it.
• Collaborate with researchers and peers to ensure consistency, rigor, and impartiality in the work.
• Engage in a close feedback loop with the lab’s researchers.
• MSc or PhD in machine learning, computer science, or another STEM discipline, or equivalent practical experience in a research-intensive area.
• Over 1 year of experience in a research or research-engineering capacity.
• Practical experience in training and assessing ML models and conducting experiments from setup through execution to analysis.
• Strong knowledge of large language models, including their strengths, weaknesses, and evaluation methods.
• Proficient in Python and Git.
• Comfortable working in scripting and notebook environments.
• A basic grasp of reinforcement learning concepts, including reward functions and policy training, is preferred.
• Previous experience in AI training, model assessment, or benchmark/task authorship is preferred.
• High level of attention to detail and creativity in designing tasks.
• Excellent written communication skills.
• Ability to independently navigate ambiguous and open-ended challenges.
• Availability for approximately 35 hours per week.
• W-2 employment.
• Payroll, benefits, and compliance managed by Cincinnatus LLC.
• Fully remote work opportunity within the United States.
• Approximately 35 hours of work per week.
• Chance to be placed at a top-tier AI lab as part of its extended workforce.
• Reasonable accommodations available for qualified individuals with disabilities and disabled veterans throughout the application process.
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