Applied Research Engineer

Right Hire Consulting LLC; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Right Hire Consulting LLC is seeking an experienced ML researcher to advance AI alignment research. You will work on RLHF, DPO, and related approaches, designing production-ready tools that align models with human intent.

You will develop data-centric training pipelines, evaluate feedback, and translate cutting-edge research into scalable systems while publishing at top conferences and collaborating with a cross-functional team.

Qualifications

• Master's or PhD in CS/ML required.
• 3+ years applying ML to real-world problems.
• Experience in alignment or human-in-the-loop systems preferred.
• Strong communication and collaboration skills.

Responsibilities

• Develop novel methods to align AI systems with human intent.
• Design and build tools for collecting, evaluating, and optimizing human feedback.
• Enhance data labeling pipelines with active learning and adaptive sampling.
• Analyze feedback types to improve model performance and safety.
• Publish at top ML/AI conferences and contribute to industry best practices.

Skills

Python

PyTorch

JAX

TensorFlow

Research publications

Data-centric AI

Problem-solving

Communication

Collaboration

RLHF

Education

Masters or Ph.D. in CS/ML

Tools

PyTorch

JAX

TensorFlow

Job description

We're on a mission to build the critical infrastructure powering the next generation of AI. Since 2018, we've led the charge in data-centric AI developmentcombining top-tier tools, expert data labeling, and scalable human feedback systems to shape frontier models.

Our three integrated solutions fuel AI innovation:

Enterprise Platform & Tools: Advanced annotation tools and workflow automation for high-quality training data at scale.

Expert Marketplace: A flexible, on-demand network of specialized annotators and domain experts.

Why Join Us

High Impact: Work at a fast-paced, mission-driven company where your contributions matter.

Cutting-Edge Innovation: Tackle real challenges in AI alignment and human feedback systems.

Collaborative Excellence: Join a team of top researchers and engineers passionate about ethical AI.

Growth & Learning: Continuously learn, experiment, and grow your career in a high-caliber environment.

Clear Ownership: Take initiative, lead with autonomy, and see your work in production.

What You'll Do

Develop novel methods to align AI systems with human intent using RLHF, DPO, and related approaches.

Design and build tools for collecting, evaluating, and optimizing human feedback in AI training.

Enhance data labeling pipelines through active learning, adaptive sampling, and AI-assisted workflows.

Analyze feedback types (demonstrations, comparisons, critiques) to improve model performance and safety.

Translate research into scalable, production-ready systems and contribute to platform innovation.

Publish at top ML/AI conferences and help shape industry best practices in alignment research.

What You Bring

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

3+ years of experience applying ML to real-world problems, preferably in alignment or human-in-the-loop systems.

Deep understanding of data-centric AI, frontier model training, and feedback optimization.

Proficiency in Python and ML frameworks (e.g., PyTorch, JAX, TensorFlow).

A track record of research publications (NeurIPS, ICML, ICLR, ACL, etc.) is a strong plus.

Strong prototyping, problem-solving, and analytical thinking skills.

Excellent communication and a collaborative mindset.

Our Mission

We're redefining how AI learns from humans. By combining machine learning, human-computer interaction, and ethical AI research, we ensure every system we build is responsible, effective, and aligned with real-world human values.