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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Generative AI, LLMs, and deep learning, with a strong focus on scalable methods and model adaptation. Proven ability to design and implement AI algorithms for enterprise-scale systems while effectively collaborating with cross-functional teams.
Highest-signal resume keywords
Generative AILarge-Scale Model TrainingPython ProgrammingDeep LearningTechnical Publications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AILLMsDeep LearningModel EvaluationScalable MLModel AdaptationAI AlgorithmsPythonC++Java
Soft Skills
Effective CommunicationCollaborationAdaptabilityProblem-Solving
Tools & Technologies
HadoopSparkData PipelinesAI Agents
Industry Keywords
Research RecordPublicationsPatentsTechnical ContributionsEnterprise-Scale Systems
Tech Stack
Tools & technologiesDistributed SystemsHadoopJavaPythonSparkC++
About the role
Key responsibilities & impact- Conduct generative AI and LLM research focused on scalable methods, model adaptation, evaluation, and applied use cases
- Design, implement, and evaluate AI algorithms for enterprise-scale systems
- Develop proof-of-concept prototypes to transition research into innovative products
- Optimize workflows for model training, inference, and data pipelines
- Prepare technical publications, reports, and intellectual property submissions
- Collaborate with engineering, product, and cross-functional partners to deliver impactful AI solutions
- Participate in a 12-week internship program with impactful projects, workshops, learning sessions, collaboration, and a final presentation to Visa leaders
Requirements
What you’ll need- Students pursuing a Ph.D. with a graduation date in December 2027 or later
- Strong research record demonstrated by publications, patents, presentations, or technical contributions
- Experience in Generative AI, LLMs, deep learning, scalable ML, fine-tuning, model evaluation, or AI agents
- Knowledge of large-scale model training, efficient inference, or distributed systems
- Proficiency in Python, C++, Java, or similar languages
- Familiarity with big data frameworks such as Hadoop or Spark is a plus
- Ability to communicate complex concepts clearly and collaborate effectively
- Adaptability to evolving research priorities and problem-solving in an experimental setting
- Digital fluency, including ability to work with emerging technologies such as Generative AI tools
- Ability to work at least 3 days in the office
- Availability for 5–10% travel
Benefits
Comp & perks- 12-week immersive internship experience
- Interactive workshops and learning sessions
- Professional development opportunities
- Social events fostering community and connection
- Final presentation opportunity to Visa leaders
- Hybrid work arrangement
