Job Details

About the job Applied Research Engineer

Join the Future of Human-Centered AI

Were on a mission to build the critical infrastructure powering the next generation of AI. Since 2018, weve 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.
• Frontier Data Labeling Services : Expert-driven labeling for next-gen AI systems.
• 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 Youll 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

Were 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.