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AI Scientist Intern – Internship, Masters or PhD
Mistral AI. Work with the fine-tuning team to create state-of-the-art generative models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing machine learning models, particularly in fine-tuning LLMs, while effectively collaborating with cross-functional teams to integrate advanced AI technologies into applications. Proficient in data analysis and visualization to support research and development efforts.
Highest-signal resume keywords
Master Or PhD In EngineeringStrong Programming Skills In PythonExperience With TensorFlowFamiliarity With Natural Language Processing TechniquesExperience In Fine-Tuning LLMs
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning AlgorithmsGenerative AIData AnalysisModel EvaluationDeep Learning FrameworksMLOps Technical StackSoftware DesignHPC InfrastructureVersion Control SystemsLinux Shell Environment
Soft Skills
CollaborationResearch DocumentationAutonomous Work
Tools & Technologies
TensorFlowPyTorchGit
Industry Keywords
Natural Language ProcessingLLM TechnologiesFine-TuningAI Applications
Tech Stack
Tools & technologiesLinuxPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Work with the fine-tuning team to create state-of-the-art generative models
- Run autonomous work streams under the supervision of experienced scientists
- Explore state-of-the-art LLM algorithms for fine-tuning LLMs
- Assist in designing and implementing machine learning models and algorithms
- Conduct research on advancements in natural language processing and LLMs
- Contribute to developing and optimizing LLM systems
- Collaborate with cross-functional teams to integrate LLM technologies into applications
- Perform data analysis and visualization to support research and development
- Document research findings and contribute to technical reports and publications
- Participate in team meetings and brainstorming sessions
Requirements
What you’ll need- Currently doing a Master or PhD at a tier 1 engineering school / university
- High scientific understanding of generative AI
- Broad knowledge of AI, with specific knowledge or interest in fine-tuning and using language models for applications
- Strong programming skills in Python
- Experience with TensorFlow, PyTorch, or similar libraries
- Familiarity with natural language processing techniques and machine learning algorithms
- Ability to design complex software and make it usable in production
- Ability to navigate the full MLOps technical stack, with a focus on architecture development, model evaluation, and usage
- Previous experience with LLMs or related technologies
- Knowledge of deep learning frameworks and techniques
- Experience with version control systems such as Git
- Experience with a Linux shell environment
- Experience in fine-tuning LLMs is ideal
- Experience using complex HPC infrastructure with full autonomy is ideal
Benefits
Comp & perks- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
- Other location-specific perks