Applied Researcher

Job Title: Applied Researcher - AI Innovations

Overview:

Our team is at the forefront of merging AI and Quantum Computing to develop cutting-edge solutions for complex challenges in various industries.

We seek an exceptional Applied Researcher to join our innovative research team, focusing on advancing AI capabilities through rigorous experimentation, multi-agent systems design, domain-specific scaffolding, and evaluation methodology development.

Key Responsibilities:

• Design and implement novel multi-agent architectures for complex problem-solving and collaboration.
• Develop domain-specific scaffolding techniques to guide AI systems in specialized environments.
• Curate high-quality datasets for training and evaluating AI systems across various domains.
• Establish comprehensive evaluation frameworks to measure system performance, robustness, and alignment.
• Research and implement reinforcement learning approaches for agent behavior optimization.
• Develop techniques for post-training optimization and domain adaptation.
• Collaborate with cross-functional teams to translate research findings into practical applications.
• Stay current with the latest advancements in AI research and contribute to the research community.
• Document methodologies, findings, and best practices for internal knowledge sharing.

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or related technical field.
• 4+ years of experience in applied AI research.
• Strong mathematical foundations in optimization, probability theory, and linear algebra.
• Extensive expertise in Python programming and software development.
• Strong proficiency in PyTorch or JAX for implementing and scaling AI models.
• Experience in curating datasets, pre-training, and aligning multimodal small language models.
• Demonstrated experience with various reinforcement learning post-training methods (RLHF, DPO, GRPO, SFT, etc.).
• Experience with prompting methods like Chain of Thought and curating Chain of Thought datasets.
• Experience training small reasoning models for specific applications.
• Familiarity with various alignment methods and value learning techniques.
• Experience with multi-agent systems design and implementation.
• Knowledge of distributed training on multi-node, multi-GPU clusters.
• Experience with dataset curation, cleaning, and augmentation for diverse AI tasks.
• Strong understanding of model evaluation metrics and methodology development.
• Excellent communication skills and ability to present complex technical concepts clearly.

Preferred Experience:

• Publication record in top-tier AI/ML conferences (NeurIPS, ICLR, AAMAS, ICML).
• Experience applying AI to scientific domains such as drug discovery, materials science, chip design, or mathematical reasoning.
• Experience working with vision-language models and multimodal architectures.
• Demonstrated success in developing efficient small language models for specialized tasks.
• Research experience in open-endedness, including emergent behaviors, auto-curriculum learning, or open-world agent systems for design of experiments, hypothesis generation.
• Background in computational chemistry, physics, electrical engineering, or mathematics.
• Experience with Kubernetes and containerized workflow orchestration.
• Familiarity with ML infrastructure tools like Ray, Hydra, or MLflow.
• Knowledge of interpretability methods and system analysis approaches.
• Experience with domain adaptation for specialized scientific applications.
• Open-source contributions to AI research or tooling.
• Experience in developing custom GPU accelerated pipelines.
• Experience optimizing large-scale models for inference and deployment.

What We Offer:

• Opportunity to work on cutting-edge AI research with real-world impact.
• Access to substantial computational resources for large-scale experimentation.
• Collaborative environment with top researchers and engineers.
• Flexibility to pursue novel research directions within our mission.
• Competitive compensation and benefits package.

Join us in shaping the future of intelligent systems and their applications across diverse scientific domains.