FREE ACCESS
5,000–10,000 jobs/day
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.

ML Research Intern – BS/MS
Genesis Molecular AI. Build models, run experiments, and analyze results for a key scientific challenge in generative AI .
Core Competencies
Role fitCore 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 resumeApplicant 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