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Summer 2026 Intern - AI Research

Salesforce

Summer 2026 Intern - AI Research

Salesforce logo

Salesforce

full-time

Posted: October 29, 2025

Number of Vacancies: 1

Job Description

Description Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products, and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drives AI innovation across pure research, applied research, and new product incubation—all built on our powerful AI platform. We bring companies and customers together using explainable, transparent, and accountable AI.As part of our team, you’ll gain unique skills, work with talented people, and influence the industry standard for the fair and ethical use of artificial intelligence to help us shape the future of AI.Check out our website to learn more about the groundbreaking work of the Salesforce AI Research Team.Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following core areas:Natural Language Processing (NLP)Computer Vision (CV)Reinforcement Learning (RL)General Machine Learning (ML) Our research focus includes, but is not limited to, the following cutting-edge areas:AI AgentsLarge Language/Action ModelingResponsible & Trusted AIHuman-AI InteractionAI for Software DevelopersAI for Operations / Time SeriesAI for Knowledge ManagementMobile AIMultimodal AIAutomatic Evaluation Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred. ROLE & RESPONSIBILITIES:Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference.Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem.Contribute to the AI community by focusing on pure research that aligns with your PhD focus area.Learn about exciting research and applications outside your expertise.Attend conferences with our researchers to showcase accepted papers (when applicable). MINIMUM REQUIREMENTS:PhD or MS candidate in a relevant research area.Strong background in machine learning, natural language processing, computer vision, or reinforcement learning.Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods.Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow).Strong algorithmic problem-solving skills.Programming proficiency in Python, Java, C/C++, Lua, or a similar language. INTERNSHIP DETAILS:This internship is a minimum of 12 weeks. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Locations

  • Palo Alto, California

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

8,000 - 12,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • strong background in machine learningintermediate
  • strong background in natural language processingintermediate
  • strong background in computer visionintermediate
  • strong background in reinforcement learningintermediate
  • understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methodsintermediate
  • Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow)intermediate
  • Strong algorithmic problem-solving skillsintermediate
  • Programming proficiency in Python, Java, C/C++, Lua, or a similar languageintermediate

Required Qualifications

  • PhD or MS candidate in a relevant research area. (degree in ms candidate in a relevant research area)
  • Strong background in machine learning, natural language processing, computer vision, or reinforcement learning. (experience)
  • Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods. (experience)
  • Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow). (experience)
  • Strong algorithmic problem-solving skills. (experience)
  • Programming proficiency in Python, Java, C/C++, Lua, or a similar language. (experience)

Preferred Qualifications

  • Ideal candidates have a strong background in one or more of the following core areas: Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), General Machine Learning (ML). (experience)
  • Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred. (experience)

Responsibilities

  • Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference.
  • Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem.
  • Contribute to the AI community by focusing on pure research that aligns with your PhD focus area.
  • Learn about exciting research and applications outside your expertise.
  • Attend conferences with our researchers to showcase accepted papers (when applicable).

Benefits

  • general: This internship is a minimum of 12 weeks.
  • general: For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

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Salesforce logo

Summer 2026 Intern - AI Research

Salesforce

Summer 2026 Intern - AI Research

Salesforce logo

Salesforce

full-time

Posted: October 29, 2025

Number of Vacancies: 1

Job Description

Description Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products, and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drives AI innovation across pure research, applied research, and new product incubation—all built on our powerful AI platform. We bring companies and customers together using explainable, transparent, and accountable AI.As part of our team, you’ll gain unique skills, work with talented people, and influence the industry standard for the fair and ethical use of artificial intelligence to help us shape the future of AI.Check out our website to learn more about the groundbreaking work of the Salesforce AI Research Team.Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following core areas:Natural Language Processing (NLP)Computer Vision (CV)Reinforcement Learning (RL)General Machine Learning (ML) Our research focus includes, but is not limited to, the following cutting-edge areas:AI AgentsLarge Language/Action ModelingResponsible & Trusted AIHuman-AI InteractionAI for Software DevelopersAI for Operations / Time SeriesAI for Knowledge ManagementMobile AIMultimodal AIAutomatic Evaluation Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred. ROLE & RESPONSIBILITIES:Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference.Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem.Contribute to the AI community by focusing on pure research that aligns with your PhD focus area.Learn about exciting research and applications outside your expertise.Attend conferences with our researchers to showcase accepted papers (when applicable). MINIMUM REQUIREMENTS:PhD or MS candidate in a relevant research area.Strong background in machine learning, natural language processing, computer vision, or reinforcement learning.Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods.Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow).Strong algorithmic problem-solving skills.Programming proficiency in Python, Java, C/C++, Lua, or a similar language. INTERNSHIP DETAILS:This internship is a minimum of 12 weeks. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Locations

  • Palo Alto, California

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

8,000 - 12,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • strong background in machine learningintermediate
  • strong background in natural language processingintermediate
  • strong background in computer visionintermediate
  • strong background in reinforcement learningintermediate
  • understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methodsintermediate
  • Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow)intermediate
  • Strong algorithmic problem-solving skillsintermediate
  • Programming proficiency in Python, Java, C/C++, Lua, or a similar languageintermediate

Required Qualifications

  • PhD or MS candidate in a relevant research area. (degree in ms candidate in a relevant research area)
  • Strong background in machine learning, natural language processing, computer vision, or reinforcement learning. (experience)
  • Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods. (experience)
  • Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow). (experience)
  • Strong algorithmic problem-solving skills. (experience)
  • Programming proficiency in Python, Java, C/C++, Lua, or a similar language. (experience)

Preferred Qualifications

  • Ideal candidates have a strong background in one or more of the following core areas: Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), General Machine Learning (ML). (experience)
  • Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred. (experience)

Responsibilities

  • Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference.
  • Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem.
  • Contribute to the AI community by focusing on pure research that aligns with your PhD focus area.
  • Learn about exciting research and applications outside your expertise.
  • Attend conferences with our researchers to showcase accepted papers (when applicable).

Benefits

  • general: This internship is a minimum of 12 weeks.
  • general: For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Target Your Resume for "Summer 2026 Intern - AI Research" , Salesforce

Get personalized recommendations to optimize your resume specifically for Summer 2026 Intern - AI Research. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Summer 2026 Intern - AI Research" , Salesforce

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Salesforce ResearchSalesforce Research

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