Applied Research Scientist II - AI Models

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About Assessli

Large Behavioural Model (LBM)

new frontier of Human-Centric AI

Role Overview

Machine Learning Researcher

next foundation model for the world

Key Responsibilities

• Research & Development

  : Explore, prototype, and build novel ML frameworks for behavioral modeling, personalization, and multi-modal human meta-data integration.

• Architecture Design

  : Develop next-gen foundational model architectures optimized for 

  per-individual training, self-supervision, and longitudinal learning

  .

• Core Contributions

  : Work directly with the founders to design and implement the 

  LBM pipeline

   (data → training → deployment → personalization).

• Patents & Publications

  : Lead/co-author 

  patent filings, white papers, and academic research papers

   showcasing Assessli’s innovation.

• Experimentation

  : Run large-scale experiments with behavioral, genomic, and cognitive datasets to validate hypotheses.

• Collaboration

  : Work with AI engineers, neuroscientists, and product teams to translate cutting-edge research into real-world impact.

What We’re Looking For

• Strong background in 

  Machine Learning/Deep Learning

   (PhD or Master’s with research focus in AI/ML, Computer Science, Computational Neuroscience, or related fields).
• Experience with 

  foundation model architectures

   (Transformers, Graph Neural Networks, Multi-modal models, etc.).
• Research or hands-on work in 

  self-supervised learning, personalization, reinforcement learning, or meta-learning

  .
• Strong mathematical foundation (linear algebra, probability, optimization).
• Publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, etc.) is a big plus.
• Passion for 

  going beyond LLMs

   – building AI that truly understands humans.
• Ability to thrive in a fast-paced startup environment, contribute to vision, and own core pieces of IP.

What We Offer

• Core Team Role

   – shape the architecture of the world’s first LBM.

• Research-to-Impact

   – publish, patent, and build models that move the frontier.

• Equity & Ownership

   – core contributors get significant ESOPs.

• Collaborative Deep-Tech Culture

   – work at the intersection of ML, neuroscience, genomics, and behavioral science.

• Mission-Driven Impact

   – contribute to the foundation of Human-Centric AI that will transform education, healthcare, work, and wellness globally.

Why Join Us?

create a new category of foundational AI

• Work on 

  never-done-before architectures

  .
• Help define the science and narrative of LBMs.
• Leave your mark on 

  the next era of AI

  .

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