Research Intern: Inference-Aware RL for Large Models

Togetherai; San Francisco (CA); Hybrid; USD 79,900 - 86,788; Full time

Benefits offered by this job

Competitive compensation

Housing stipends

Other competitive benefits

Job summary

Togetherai is offering a research internship for individuals passionate about advancing machine learning. This role involves studying and co-designing RL algorithms and inference systems to improve their efficiency and scalability.

Ideal candidates are pursuing graduate degrees in Computer Science or related fields and possess strong research and programming skills. The internship lasts 12 to 16 weeks, with compensation ranging from $58 to $63 per hour, depending on experience.

Qualifications

• Pursuing a PhD or MS in a relevant field; exceptional undergraduates considered.
• Experience in RL or post-training for large models is preferred.
• Comfortable designing controlled experiments and interpreting results.

Responsibilities

• Study RL and post-training methods tied to inference behavior.
• Co-design algorithms considering inference cost and structure.
• Tailor projects based on interests and background.

Skills

Research experience in RL

Empirical research skills

Strong Python skills

Familiarity with C++ or CUDA

Education

Pursuing a PhD or MS in Computer Science, EE or related field

Tools

Experimentation tools

Job description

Togetherai is offering a research internship for individuals passionate about advancing machine learning. This role involves studying and co-designing RL algorithms and inference systems to improve their efficiency and scalability.

Ideal candidates are pursuing graduate degrees in Computer Science or related fields and possess strong research and programming skills. The internship lasts 12 to 16 weeks, with compensation ranging from $58 to $63 per hour, depending on experience.