Rust Software Engineer
4 weeks ago
Job Overview:
We are seeking a skilled Rust Software Engineer to participate in reinforcement learning from human feedback tasks at PeopleGene. This exciting opportunity involves providing high-quality human feedback on outputs from large language models to refine and improve model accuracy and relevance.
The successful candidate will have a strong understanding of systems programming, performance optimization, and concurrency in Rust development. Additionally, familiarity with core machine learning concepts, particularly reinforcement learning, is highly desirable.
Responsibilities:
- Acknowledge LLM-generated responses, identify areas for improvement, and offer detailed qualitative feedback to guide model training.
- Collaborate with data scientists and machine learning engineers to ensure that human feedback is effectively integrated into the model's learning process.
- Work closely with various teams to understand specific requirements for human feedback in the RLHF process, ensuring consistent quality and impact.
- Provide insights into systematically integrating human feedback, suggesting improvements for collecting and incorporating this feedback in model training.
- Document workflows, processes, and best practices for providing human feedback in the context of LLM training.
- Stay up-to-date with advancements in reinforcement learning, LLMs, and human-computer interaction to enhance RLHF strategies.
- Test new tools and methods for enhancing the collection and integration of human feedback, striving for greater efficiency in RLHF tasks.
Requirements:
- At least 2 years of experience in Rust development, with a strong understanding of systems programming, performance optimization, and concurrency.
- Familiarity with core machine learning concepts, particularly reinforcement learning, is highly desirable.
- Experience with human-computer interaction, user feedback systems, or related domains is advantageous.
- Proficiency in version control (e.g., Git) and CI/CD pipelines, with the ability to collaborate effectively on shared codebases.
- Strong analytical skills to evaluate RLHF tasks and improve their efficiency, with the ability to provide constructive feedback on AI/ML outputs.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Equivalent work experience will also be considered.
Salary Information:
The estimated salary for this position is $120,000 - $150,000 per year, depending on location and experience.
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