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.

Originally posted on Himalayas