应用研究工程师

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