ML & Research Intern

Osmo

Job Summary

Osmo is a digital olfaction company seeking a summer ML & Research Intern to join their team in New York, NY. The intern will contribute to building capabilities and driving cutting-edge research in machine learning, focusing on scent data. Responsibilities include diving into datasets, developing innovative ML models, and creating new problem formulations to unlock computational capabilities in olfaction.

Must Have

  • Dive into datasets, derive insights, and evaluate ML models.
  • Develop innovative ML models and data featurizations for scent data.
  • Current Masters or PhD student in CS, ML, AI, or related fields.
  • Comfortable with linear algebra and statistics.
  • Experienced in applying ML techniques with PyTorch, JAX, or Tensorflow.

Good to Have

  • Experience with graph neural networks in cheminformatics problems.
  • Experience with mass spectrometry data (GCMS) using machine learning.
  • Experience with protein structure modeling / protein language models.
  • Experience with metabolic pathway databases.
  • Experience with Bayesian optimization for experimental design.
  • Experience with human sensory data.

Perks & Benefits

  • Health, dental, and vision coverage
  • 401(k) retirement savings plan with company match
  • Flexible paid time off and company holidays
  • Equity or incentive compensation for eligible roles

Job Description

Who we are at Osmo:

Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory.

Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone.

Osmo is looking for a summer intern to join our ML team

to build our capabilities and drive cutting-edge research that can lead to a different future for humanity. You will be a member of the machine learning team, reporting to the Head of Machine Learning.

Responsibilities:

  • Dive deeply into various datasets, understand their characteristics and derive insight and an evaluation framework for real-world machine learning models.
  • Develop innovative ML models, creative data featurizations, or new problem formulations to take advantage of scent data in various modalities and unlock new computational capabilities.

Required Qualifications:

  • Current Masters or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
  • Comfortable with linear algebra and statistics.
  • Experienced in applying machine learning techniques to real-world problems with frameworks such as PyTorch, JAX, or Tensorflow.
  • Interested in learning about the biology of olfaction, molecular chemistry, and analytical chemistry.

Ways to stand out from the crowd:

  • Experience working with graph neural networks and their application in cheminformatics problems.
  • Experience working with mass spectrometry data (GCMS) using machine learning methods.
  • Experience working with protein structure modeling / protein language models.
  • Experience working with metabolic pathway databases.
  • Experience working with Bayesian optimization for experimental design.
  • Experience working with human sensory data.

Salary Range: $50 - $60 per hour

If this role inspires you we’d encourage you to apply. We are committed to recruiting, developing, and retaining an incredible team optimized for a diversity of thought, background, and approaches.

Base salary is just one component of Osmo’s total rewards package, which is designed to support the well-being, growth, and long-term success of our team members. Our comprehensive package includes health, dental, and vision coverage; a 401(k) retirement savings plan with company match; flexible paid time off and company holidays; and equity or incentive compensation for eligible roles. Actual compensation will vary based on factors such as experience, skills, location, internal equity, and other relevant business considerations. Osmo regularly reviews pay ranges to ensure they remain competitive, equitable, and aligned with current market data.

All employment decisions and responsibilities are determined based on current ability and your ability to grow, without regard to race, color, gender identity, sex, sexual orientation, religion, age, marital status, physical, mental, or sensory disability, or any other characteristic protected by applicable law.

Recruitment & Staffing Agencies: Osmo does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Osmo or its employees is strictly prohibited unless contacted directly by the Osmo Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Osmo and Osmo will not owe any referral or other fees with respect thereto.

8 Skills Required For This Role

Talent Acquisition Data Structures Game Texts Pytorch Neural Networks Tensorflow Linear Algebra Machine Learning

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