Founding Research Scientist

Next Phase Recruitment; New York (NY); In loco; USD 150.000 - 190.000; Tempo pieno

Descrizione del lavoro

Next Phase Recruitment in New York invites applications for a senior AI researcher focused on foundational agent design, continual learning, and multimodal reasoning. You will work with a world-class team, shape long-horizon research directions, and drive projects from concept through evaluation on real-world scientific data.

The role emphasizes publications in NeurIPS/ICML-like venues, developing embodied AI systems that learn with minimal retraining, and delivering metrics that capture

Competenze

• PhD or equivalent in CS/AI/ML or related field.
• Publications at NeurIPS/ICML/ICLR/CoRL/CVPR.
• Experience across at least two domains among vision, language, reinforcement learning, generative models, or robotics.

Mansioni

• Join as a key contributor shaping foundational research in intelligent agent design.
• Lead research into continual learning and memory systems without retraining.
• Develop multimodal learning methods for real-world, partially observed data.
• Create embodied agents that act, reason, and learn in real time.
• Design evaluation metrics emphasizing adaptation and competence.
• Publish in leading conferences and help define the next frontier in AI for science.

Conoscenze

Reinforcement learning

Continual learning

Reward modeling

Preference learning

Data-driven experimentation

Multimodal learning

Embodied agents

PyTorch

TensorFlow

Formazione

PhD or equivalent experience in Computer Science, AI, ML, or related fields

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

This forward-thinking company, headquartered in New York, is revolutionizing how AI contributes to scientific research. Backed by a world class founding team with experience in materials science, automation, and machine learning, they combine expertise from leading academic and industrial labs. With a mission to create AI co-scientists that learn continuously from real world scientific work, they operate across pharma, biotech, materials science, and manufacturing, offering an unparalleled environment for cutting-edge research and impact.

Qualifications & Experience

• PhD or equivalent experience in Computer Science, AI, Machine Learning, or related fields
• Proven research record with publications in top-tier venues such as NeurIPS, ICML, ICLR, CoRL, or CVPR
• Multi-domain expertise across at least two of: vision, language, reinforcement learning, generative models, or robotics

Responsibilities

• Join as a key contributor shaping foundational research in intelligent agent design.
• Lead research into continual learning and memory systems without retraining
• Develop multimodal learning methods to handle real world, partially observed data
• Create embodied agents that act, reason, and learn in real time
• Design evaluation metrics emphasizing adaptation and competence
• Publish in leading conferences and help define the next frontier in AI for science

Skills / Technical Competencies

• Proficiency in reinforcement learning, continual learning, reward modeling, and preference learning
• Strong background in data-driven experimentation using real world instruments
• Programming experience in frameworks such as PyTorch or TensorFlow
• Comfort building and testing embodied or computer use agents

Nice to Haves

• Experience in memory models, post-training for large models, or long-term continual learning
• Prior work with AI for scientific research or experimental automation
• Hands-on experience with GUI, web, or embodied systems