Job Description

Locations

• New York, New York, United States

Salary

Skills Required

• neural deep learning methodsintermediate
• modeling tools such as Rintermediate
• large scale distributed systems such as Hadoopintermediate
• LLM-based agentsintermediate
• long-term memoryintermediate
• safetyintermediate

Required Qualifications

• 3+ years of building machine learning models for business application experience (experience, 3 years)
• PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
• Experience programming in Java, C++, Python or related language (experience)
• Experience with neural deep learning methods and machine learning (experience)
• Strong publication record at major HRI/ML/AI/HCI conferences (experience)
• Experience designing, running, and analyzing user studies with real human participants (experience)
• Experience programming in Python or related language (experience)
• Demonstrated track record of leading technical projects (experience)
• Experience mentoring junior scientists/engineers (experience)
• Strong understanding of one or more of: dialogue systems, multimodal interaction, social signal processing, affective computing, or cognitive modeling (experience)
• Experience applying machine learning (LLMs, multimodal models, reinforcement learning, imitation learning, or related techniques) to interactive or socially situated systems (experience)

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
• Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
• Experience with LLM-based agents, tool use, planning, or grounding language in perception and action (experience)
• History of impactful first-author publications at major conferences (experience)
• Experience deploying interaction systems on physical robots or other embodied platforms (experience)
• Experience with long-term memory, personalization, or user modeling for conversational agents (experience)
• History of technical leadership and cross-functional collaboration (experience)
• Experience bridging research with practical engineering implementation in robotics or consumer AI products (experience)
• Extensive programming skills in Python and PyTorch/JAX (experience)
• Experience integrating perception systems (e.g., vision, audio, and touch sensors) into interaction pipelines (experience)
• Familiarity with safety, privacy, and ethical considerations for socially interactive AI systems (experience)

Responsibilities

• Develop interactive systems that leverage large language models, multimodal inputs and outputs, reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging, and socially appropriate robot behavior
• Design and implement intelligent conversational systems that handle turn-taking, grounding, interruption, and incorporates context drawn from a robot's physical environment and shared history with a user
• Integrate perceptual sensor streams including gaze, facial expression, gesture, posture, and more to understand social context and produce coherent, lifelike interactions.
• Develop memory and personalization systems that allow robots to form lasting relationships with individual users, learn their environments, and adapt their behavior over weeks and months
• Stay updated on advancements in HRI, NLP, multimodal AI, and cognitive and social science to apply cutting-edge techniques to robot interaction challenges
• Lead technical projects from conception through production deployment
• Mentor junior scientists and engineers
• Bridge research initiatives with practical engineering implementation

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