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Osmo

Digitizes and reproduces scents via Osmograph

Head of AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeElizabeth, NJ, USA

About the Job

Requirements

  • At least 10 years of industry machine learning or artificial intelligence experience in an applied or research capacity, with models shipped to real users.
  • Experience managing, hiring, leveling, and growing machine learning engineers or research scientists; team lead experience with real ownership is accepted.
  • Depth in at least one of generative models over structured or discrete objects, molecular or chemical machine learning, multimodal representation learning, large language model systems and evaluation, or Bayesian and experimental design.
  • Experience owning models in production, including versioning, monitoring, drift, and on-call demands.
  • Ability to evaluate baselines, test-set leakage, and whether metric changes reflect their assumed causes.
  • Ability to work with small, noisy, expensive data and human perceptual labels.
  • Ability to work hands-on by reading code diffs and running experiments.
  • Hybrid schedule with three days per week in the Elizabeth, New Jersey office.
  • Applicants must be legally authorized to work in the United States.

Responsibilities

  • Lead and grow the Olfactory Intelligence team, hiring and leveling machine learning engineers and research scientists across formulation, prediction, and generative models, and setting their review standards.
  • Set the model roadmap across brief-to-formula generation, reformulation and cost optimization, molecule generation, deformulation, odor prediction, and per-customer property models.
  • Run the Olfactory Intelligence benchmark suite, including internal quality gates, contractual acceptance criteria, and model cards for customers and investors.
  • Own contractual model deliverables with hard accuracy gates and quarterly dates, and communicate early when a target is out of reach.
  • Work with Sensory Science and Fragrance Development to design experiments, define annotation protocols, and set key performance indicators that turn panel time into model gains.
  • Partner with Software Platform and Product Engineering to move models from research to a reliable production API, including versioning, monitoring, and drift handling.
  • Read code diffs, challenge evaluation design, and run experiments.
  • Prioritize essential work by stopping lower-priority work and explain those decisions clearly and considerately.
  • Work with Chemistry, perfumers, and evaluators so model outputs reflect human olfactory experience.
  • Define and uphold standards for applied machine learning at Osmo.

Desired Qualifications

  • Breadth across multiple areas of generative models over structured or discrete objects, molecular or chemical machine learning, multimodal representation learning, large language model systems and evaluation, or Bayesian and experimental design.
  • Experience in chemistry, chemoinformatics, sensory science, or biology.
  • Experience owning model deliverables for external partners in an enterprise or contract-research setting.
  • Experience building an machine learning platform or evaluation infrastructure from scratch.

About the Company

Osmo

Digitizes and reproduces scents via Osmograph

Osmo ai digitizes the sense of smell. It develops the Osmograph technology to capture odor molecules as digital signals, map them into structured representations, and then write (reproduce) digital scents. This enables licensing of the technology to fragrance and healthcare companies to create personalized scent experiences and scent-based applications. By turning smell into data and back into olfactory experiences, Osmo aims to bridge AI and olfactory science to expand markets for fragrances, therapeutics, and wellness tools.

Company size
51-200
Company stage
Series B
Total funding
$133.5M
Headquarters
Cambridge, MA
Founded
2023

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