Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Genesis Molecular AI

ML Research Intern – BS/MS

Genesis Molecular AI

. Build models, run experiments, and analyze results for a key scientific challenge in generative AI .

Posted 9/24/2026internshipUnited StatesEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing multi-modal models and algorithms in generative AI, with a strong focus on clean coding practices and the ability to analyze complex scientific challenges. Collaborates effectively with multidisciplinary teams in the intersection of AI and biochemistry.

Highest-signal resume keywords
Generative AIMulti-Modal ModelsClean CodingMachine LearningDrug Discovery

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Model BuildingAlgorithm OptimizationExperiment DesignData AnalysisCoding
Soft Skills
CollaborationPresentation SkillsProblem Solving
Tools & Technologies
Diffusion ModelsLarge Language ModelsReinforcement Learning
Industry Keywords
BiochemistryDrug Discovery ProcessDeep Learning

About the role

Key responsibilities & impact
  • Build models, run experiments, and analyze results for a key scientific challenge in generative AI
  • Implement and optimize multi-modal models and algorithms from the latest literature
  • Design and run experiments at scale to validate approaches and hypotheses
  • Present work and findings to the team
  • Work with foundation models in areas such as diffusion models, large language models, or reinforcement learning
  • Collaborate with multidisciplinary deep learning researchers, software engineers, and drug discovery pioneers

Requirements

What you’ll need
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Machine Learning, or a related technical field
  • Skilled and agile coder with a passion for clean, efficient, and reliable code
  • Passion for challenging research problems and complex technical challenges
  • Interest in the intersection of AI and biochemistry and the drug discovery process
  • Must be legally authorized to work in the United States
  • Must address current university and anticipated graduation date in the application

Benefits

Comp & perks
  • High-impact project with direct impact on Genesis Molecular AI’s core scientific platform
  • Dedicated mentorship from a senior researcher or engineer
  • Participation in paper discussions, research talks, and social events
  • Access to ample compute and large-scale simulations