Machine Learning Research Intern (Winter/Spring 2027)
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Before you apply
LocationSunnyvale, CA, Sunnyvale, United States
Typefull-time
SeniorityEntry
DepartmentAI/ML
Company size5+ people
PostedOct 24, 2026 · 1w ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
Ability to pose relevant questions, find answers in existing literature or plan and execute experiments
Ability to read and write research papers and technical articles
PhD student or student at any level with research experience and peer-reviewed published work
Machine learning tools: pytorch, huggingface, transformers, datasets
Applied deep learning and LLM experience
Training and evaluating deep models
Development environments and tools: unix, git, basic clouds usage on AWS and/or GCP
jupyter
python
finetuning LLMs, multi-modal LLMs
Familiarity with ML/NLP/LLM/Vision interpretability methods, sparse autoencoders, linear probes
programming languages well-roundedness
Experience in statically-typed and functional languages
Must be authorized to work in the USA or must be able to obtain CPT (Curricular Practical Training) approval from host university
The internship is expected to last at least 3 months and intersect most of the period starting from January, 2027 through end of March 2027
Skills
pytorch
huggingface
transformers
datasets
ML
NLP
LLM
Vision
sparse autoencoders
linear probes
unix
git
AWS
GCP
jupyter
python
Role Overview
This internship is focused on ML research mixed with applied ML and software engineering. Topic of the internship is around trust and safety in LLMs such as:
•
prompt injections
•
safety alignment and guardrails
•
privacy and confidentiality
•
interpretability
Other topics closer aligned with the student’s research may be considered.
Expected Background: ML
•
Research experience
•
Ability to pose relevant questions, find answers in existing literature or plan and execute experiments.
•
Ability to read and write research papers and technical articles.
•
PhD student or student at any level with research experience and peer-reviewed published work.
•
Machine learning tools: pytorch, huggingface, transformers, datasets.
•
Applied deep learning and LLM experience.
•
Training and evaluating deep models.
•
(nice to have) finetuning LLMs, multi-modal LLMs.
Nice to have
•
(nice to have) Familiarity with ML[NLP,LLM,Vision] interpretability methods, sparse autoencoders, linear probes.
Expected Background: Software Engineering
•
Development environments and tools:
•
unix, git, basic clouds usage on AWS and/or GCP
•
jupyter
•
Programming:
•
python
•
(nice to have) “programming languages well-roundedness”
•
experience in statically-typed and functional languages
Compensation & Benefits
•
Market aligned compensation for interns in the bay area.
Requirements
•
Must be authorized to work in the USA or must be able to obtain CPT (Curricular Practical Training) approval from host university.
•
The internship is expected to last at least 3 months and intersect most of the period starting from January, 2027 through end of March 2027.