FI
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
About the role
- Machine Learning Engineer working on next-generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
Responsibilities
- You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.
- With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field,
- having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
Requirements
- Has exceptional engineering skills.
- Has deep ML knowledge with meaningful implementation track records.
- Prioritize deep and strategic thinking.
- Has dedication, patience and resilience to build exceptional product experience.
- Collaborative and win with teams.
- Proactive and bias to action, comfortable in fast-pacing environment.
- Top school majoring in CS (Stanford, Berkeley, CMU, MIT)
- Competitive coding winner (ACM-ICPC, etc). Look for global and competitive competition, Kaggle does not count.
- Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
- As first contributor, open source and maintain projects that gets traction (2k+ stars)
- For BS/MS, as first author, publish at least one high-impact paper (500+ citations). For PhD, the bar will be higher (2-3 first-author high impact (500+ citations) papers or 1 first-author stellar (3000+citations) paper)
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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