AI Alignment Research Engineer — RLHF & Human-in-the-Loop

Sterling Inspired Staffing.; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive medical plans

Generous parental leave

Unlimited PTO

Educational budget

WFH stipend

Daily lunch

Job summary

A leading staffing agency is seeking an Applied Research Engineer to design and build advanced systems for training AI models. This role combines research and engineering, focusing on techniques such as Reinforcement Learning from Human Feedback (RLHF) and improving human data quality. The ideal candidate will have a Ph.D. or Master's in a related field and strong experience in machine learning. Benefits include comprehensive medical plans, unlimited PTO, and educational budget.

Qualifications

• 3+ years of experience solving complex ML problems with real-world impact.
• Deep knowledge of frontier model training and alignment techniques.
• Publication record at top-tier conferences (NeurIPS, ICML, etc.).

Responsibilities

• Develop state-of-the-art methods for aligning AI systems with human intent.
• Design systems to measure and improve human feedback quality.
• Build tools to enhance data labeling processes through AI-assisted workflows.

Skills

Machine Learning problem-solving

Data-centric AI

Human-centered design

Proficiency in Python

Active Learning

Reinforcement Learning techniques

Education

Ph.D. or Masters in Computer Science, Machine Learning, AI, or related field

Tools

PyTorch

JAX

TensorFlow

Job description

A leading staffing agency is seeking an Applied Research Engineer to design and build advanced systems for training AI models. This role combines research and engineering, focusing on techniques such as Reinforcement Learning from Human Feedback (RLHF) and improving human data quality. The ideal candidate will have a Ph.D. or Master's in a related field and strong experience in machine learning. Benefits include comprehensive medical plans, unlimited PTO, and educational budget.