High-CTR: Handshake AI Research Intern Careers at Handshake - San Francisco, CA | Apply Now!
Handshake
High-CTR: Handshake AI Research Intern Careers at Handshake - San Francisco, CA | Apply Now!
Job Description
Handshake AI Research Intern, Summer 2026
Role Overview
As an AI Research Intern at Handshake, you'll play a crucial role in building the data engines that power the next generation of large language models. This internship offers a unique opportunity to contribute to cutting-edge research at the intersection of model post-training, rigorous evaluation, and data efficiency. Your work will have a direct impact on Handshake's production stack and has the potential to become a publishable research contribution.
Day in the Life
A typical day for an AI Research Intern might involve:
- Conducting literature reviews on relevant research topics.
- Designing and implementing experiments to evaluate different LLM training techniques.
- Analyzing experimental results and drawing meaningful conclusions.
- Collaborating with senior scientists to refine research directions.
- Writing code to implement new algorithms and models.
- Presenting research findings to the team.
- Contributing to open-source projects.
- Participating in internal reading groups.
Why San Francisco, CA?
San Francisco is a global hub for technology and innovation, particularly in the field of artificial intelligence. By interning in San Francisco, you'll be immersed in a vibrant ecosystem of startups, research institutions, and industry leaders. This location provides unparalleled opportunities for networking, learning, and career advancement. Handshake's office in San Francisco offers a dynamic and collaborative work environment.
Career Path
This internship can serve as a stepping stone to a variety of career paths in the field of AI research. Potential career options include:
- AI Research Scientist
- Machine Learning Engineer
- Natural Language Processing Engineer
- Data Scientist
- Research Engineer
Successful interns may also have the opportunity to join Handshake as a full-time employee after graduation.
Salary & Benefits
The salary for this internship is competitive and commensurate with experience. In addition to the base salary, Handshake offers a comprehensive benefits package that includes:
- Paid time off
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) plan
- Employee stock options
- Professional development opportunities
- Company-sponsored events
Mission
Handshake's mission is to democratize opportunity and help every student and professional find the right career path. By joining Handshake, you'll be contributing to a meaningful mission that has a positive impact on millions of people around the world.
How to Apply
To apply for the Handshake AI Research Intern, Summer 2026 position, please submit your resume, cover letter, and a brief research proposal through the Handshake careers website. Be sure to highlight your relevant skills, experience, and research interests. We encourage you to showcase any publications or open-source contributions you have made.
FAQ
- What is Handshake? Handshake is the career network for the AI economy, connecting students, professionals, educational institutions, and employers.
- What does Handshake AI do? Handshake AI builds the data engines that power the next generation of large language models.
- What kind of projects will I work on as an intern? You could tackle projects related to LLM Post-Training, LLM Evaluation, or Data Efficiency.
- What are the desired capabilities for this role? We are looking for current PhD students with a strong publication record, hands-on experience with LLMs, and a passion for AI research.
- Is prior experience with RLHF required? Prior work on RLHF, evaluation tooling, or data selection methods is a plus, but not required.
- Will I have the opportunity to publish my research? Yes, the goal of the internship is to produce an archive-ready manuscript or top-tier conference submission.
- Who will I be working with? You will be mentored by a senior scientist and collaborate with other members of the Handshake AI team.
- What is the duration of the internship? The internship is for the Summer of 2026, starting between May and June.
- What is the application deadline? Please check the Handshake careers website for the most up-to-date application deadline.
- Does Handshake offer visa sponsorship for international students? Please check the Handshake careers website or contact the recruiting team for information on visa sponsorship.
Locations
- San Francisco, CA, USA
Salary
80,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Large Language Models (LLMs)intermediate
- Reinforcement Learning from Human Feedback (RLHF)intermediate
- Generative Pre-trained Transformer with Reward Preference Optimization (GRPO)intermediate
- Instruction-Following Refinementsintermediate
- Reasoning-Trace Supervisionintermediate
- Multilingual Benchmarkingintermediate
- Long-Horizon Benchmarkingintermediate
- Domain-Specific Benchmarkingintermediate
- Automatic Preference Studiesintermediate
- Human Preference Studiesintermediate
- Robustness Diagnosticsintermediate
- Active-Learning Loopsintermediate
- Data Value Estimationintermediate
- Synthetic Data Generationintermediate
- Low-Resource Fine-Tuningintermediate
- PyTorchintermediate
- JAXintermediate
- DeepSpeedintermediate
- Distributed Trainingintermediate
- Model Evaluationintermediate
- Data Selectionintermediate
- Open-Source LLM Frameworksintermediate
- Public Speakingintermediate
- Teachingintermediate
- Researchintermediate
- Experimentationintermediate
- Manuscript Writingintermediate
- Conference Submissionsintermediate
Required Qualifications
- Current PhD student in CS, ML, NLP, or related field (experience)
- Publication track record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.) (experience)
- Hands-on experience training and experimenting with LLMs (experience)
- Experience with PyTorch, JAX, DeepSpeed, and distributed training stacks (experience)
- Strong empirical rigor (experience)
- Passion for open-ended AI questions (experience)
- Prior work on RLHF (experience)
- Experience with evaluation tooling (experience)
- Experience with data selection methods (experience)
- Contributions to open-source LLM frameworks (experience)
- Public speaking or teaching experience (experience)
Responsibilities
- Own a scoped research project
- Collaborate with a senior scientist as a mentor
- Develop and implement LLM Post-Training pipelines (RLHF/GRPO)
- Refine instruction-following capabilities of LLMs
- Implement reasoning-trace supervision
- Design and implement new multilingual benchmarks
- Design and implement new long-horizon benchmarks
- Design and implement new domain-specific benchmarks
- Conduct automatic vs. human preference studies
- Perform robustness diagnostics
- Implement active-learning loops
- Develop data value estimation techniques
- Generate synthetic data
- Implement low-resource fine-tuning strategies
- Prepare archive-ready manuscripts for publication
- Prepare submissions for top-tier conferences
- Participate in internal reading groups
- Contribute to the Handshake AI data engine
Benefits
- general: Competitive internship stipend
- general: Opportunity to contribute to cutting-edge AI research
- general: Mentorship from senior scientists
- general: Potential for publication in top-tier conferences
- general: Hands-on experience with large language models
- general: Exposure to real-world AI applications
- general: Networking opportunities with industry leaders
- general: Access to state-of-the-art computing resources
- general: Opportunity to shape the future of AI in the career space
- general: Work with a mission-driven team
- general: Impactful work that helps students and professionals
- general: Opportunity to learn from experts in AI, ML, and NLP
- general: Gain experience with various AI research areas
- general: Develop skills in experiment design and data analysis
- general: Contribute to open-source projects
- general: Build your professional network
- general: Company social events
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Handshake AI Research Intern Careers at Handshake - San Francisco, CA | Apply Now! @ Handshake.
Related Books and Jobs
High-CTR: Handshake AI Research Intern Careers at Handshake - San Francisco, CA | Apply Now!
Handshake
High-CTR: Handshake AI Research Intern Careers at Handshake - San Francisco, CA | Apply Now!
Job Description
Handshake AI Research Intern, Summer 2026
Role Overview
As an AI Research Intern at Handshake, you'll play a crucial role in building the data engines that power the next generation of large language models. This internship offers a unique opportunity to contribute to cutting-edge research at the intersection of model post-training, rigorous evaluation, and data efficiency. Your work will have a direct impact on Handshake's production stack and has the potential to become a publishable research contribution.
Day in the Life
A typical day for an AI Research Intern might involve:
- Conducting literature reviews on relevant research topics.
- Designing and implementing experiments to evaluate different LLM training techniques.
- Analyzing experimental results and drawing meaningful conclusions.
- Collaborating with senior scientists to refine research directions.
- Writing code to implement new algorithms and models.
- Presenting research findings to the team.
- Contributing to open-source projects.
- Participating in internal reading groups.
Why San Francisco, CA?
San Francisco is a global hub for technology and innovation, particularly in the field of artificial intelligence. By interning in San Francisco, you'll be immersed in a vibrant ecosystem of startups, research institutions, and industry leaders. This location provides unparalleled opportunities for networking, learning, and career advancement. Handshake's office in San Francisco offers a dynamic and collaborative work environment.
Career Path
This internship can serve as a stepping stone to a variety of career paths in the field of AI research. Potential career options include:
- AI Research Scientist
- Machine Learning Engineer
- Natural Language Processing Engineer
- Data Scientist
- Research Engineer
Successful interns may also have the opportunity to join Handshake as a full-time employee after graduation.
Salary & Benefits
The salary for this internship is competitive and commensurate with experience. In addition to the base salary, Handshake offers a comprehensive benefits package that includes:
- Paid time off
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) plan
- Employee stock options
- Professional development opportunities
- Company-sponsored events
Mission
Handshake's mission is to democratize opportunity and help every student and professional find the right career path. By joining Handshake, you'll be contributing to a meaningful mission that has a positive impact on millions of people around the world.
How to Apply
To apply for the Handshake AI Research Intern, Summer 2026 position, please submit your resume, cover letter, and a brief research proposal through the Handshake careers website. Be sure to highlight your relevant skills, experience, and research interests. We encourage you to showcase any publications or open-source contributions you have made.
FAQ
- What is Handshake? Handshake is the career network for the AI economy, connecting students, professionals, educational institutions, and employers.
- What does Handshake AI do? Handshake AI builds the data engines that power the next generation of large language models.
- What kind of projects will I work on as an intern? You could tackle projects related to LLM Post-Training, LLM Evaluation, or Data Efficiency.
- What are the desired capabilities for this role? We are looking for current PhD students with a strong publication record, hands-on experience with LLMs, and a passion for AI research.
- Is prior experience with RLHF required? Prior work on RLHF, evaluation tooling, or data selection methods is a plus, but not required.
- Will I have the opportunity to publish my research? Yes, the goal of the internship is to produce an archive-ready manuscript or top-tier conference submission.
- Who will I be working with? You will be mentored by a senior scientist and collaborate with other members of the Handshake AI team.
- What is the duration of the internship? The internship is for the Summer of 2026, starting between May and June.
- What is the application deadline? Please check the Handshake careers website for the most up-to-date application deadline.
- Does Handshake offer visa sponsorship for international students? Please check the Handshake careers website or contact the recruiting team for information on visa sponsorship.
Locations
- San Francisco, CA, USA
Salary
80,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Large Language Models (LLMs)intermediate
- Reinforcement Learning from Human Feedback (RLHF)intermediate
- Generative Pre-trained Transformer with Reward Preference Optimization (GRPO)intermediate
- Instruction-Following Refinementsintermediate
- Reasoning-Trace Supervisionintermediate
- Multilingual Benchmarkingintermediate
- Long-Horizon Benchmarkingintermediate
- Domain-Specific Benchmarkingintermediate
- Automatic Preference Studiesintermediate
- Human Preference Studiesintermediate
- Robustness Diagnosticsintermediate
- Active-Learning Loopsintermediate
- Data Value Estimationintermediate
- Synthetic Data Generationintermediate
- Low-Resource Fine-Tuningintermediate
- PyTorchintermediate
- JAXintermediate
- DeepSpeedintermediate
- Distributed Trainingintermediate
- Model Evaluationintermediate
- Data Selectionintermediate
- Open-Source LLM Frameworksintermediate
- Public Speakingintermediate
- Teachingintermediate
- Researchintermediate
- Experimentationintermediate
- Manuscript Writingintermediate
- Conference Submissionsintermediate
Required Qualifications
- Current PhD student in CS, ML, NLP, or related field (experience)
- Publication track record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.) (experience)
- Hands-on experience training and experimenting with LLMs (experience)
- Experience with PyTorch, JAX, DeepSpeed, and distributed training stacks (experience)
- Strong empirical rigor (experience)
- Passion for open-ended AI questions (experience)
- Prior work on RLHF (experience)
- Experience with evaluation tooling (experience)
- Experience with data selection methods (experience)
- Contributions to open-source LLM frameworks (experience)
- Public speaking or teaching experience (experience)
Responsibilities
- Own a scoped research project
- Collaborate with a senior scientist as a mentor
- Develop and implement LLM Post-Training pipelines (RLHF/GRPO)
- Refine instruction-following capabilities of LLMs
- Implement reasoning-trace supervision
- Design and implement new multilingual benchmarks
- Design and implement new long-horizon benchmarks
- Design and implement new domain-specific benchmarks
- Conduct automatic vs. human preference studies
- Perform robustness diagnostics
- Implement active-learning loops
- Develop data value estimation techniques
- Generate synthetic data
- Implement low-resource fine-tuning strategies
- Prepare archive-ready manuscripts for publication
- Prepare submissions for top-tier conferences
- Participate in internal reading groups
- Contribute to the Handshake AI data engine
Benefits
- general: Competitive internship stipend
- general: Opportunity to contribute to cutting-edge AI research
- general: Mentorship from senior scientists
- general: Potential for publication in top-tier conferences
- general: Hands-on experience with large language models
- general: Exposure to real-world AI applications
- general: Networking opportunities with industry leaders
- general: Access to state-of-the-art computing resources
- general: Opportunity to shape the future of AI in the career space
- general: Work with a mission-driven team
- general: Impactful work that helps students and professionals
- general: Opportunity to learn from experts in AI, ML, and NLP
- general: Gain experience with various AI research areas
- general: Develop skills in experiment design and data analysis
- general: Contribute to open-source projects
- general: Build your professional network
- general: Company social events
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Handshake AI Research Intern Careers at Handshake - San Francisco, CA | Apply Now! @ Handshake.
Related Books and Jobs