ML Research Intern
Samaya AI
| Company | Samaya AI |
| Category | Data & Analytics |
| Location | Mountain View |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Intern |
| Salary | Not stated by the employer |
| Posted | 20 Feb 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Role
We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our product delivers value to one of the most high-stake environments of AI applications - helping financial professionals make knowledge-informed decisions via key techniques such as RAG, RL and AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of publishing in top-tier ML and NLP conferences. The intern will collaborate closely with our team of experienced researchers on topics aligned with the company’s mission.
This role is ideal for a PhD or advanced Master’s student passionate about fundamental research and real-world AI applications. The intern will also have the opportunity to reshape Samaya’s key product roadmap using their research.
Responsibilities
Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences
Develop and experiment with new models, algorithms, and methodologies to improve AI agents performance in real-world tasks
Collaborate with in-house researchers to design, implement, and evaluate novel methods in alignment with the company’s mission
Present findings internally and externally through research papers and technical talks
Qualifications
Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field
Strong background in deep learning, large language models, and NLP techniques. Deep domain knowledge with RAG, RL and AI agent training and evaluation is a plus
A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)
Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills
Inclusive Hiring
Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us.
Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
About Samaya
Samaya builds Expert AI Agents that turn information from the global financial market into investment conviction. The global financial market is the largest and most valuable information ecosystem in the world, connecting billions of people, influencing every type of productive human activity, and driving tens of trillions of dollars of value. At its core is investment decision-making: identifying areas of productive activity, allocating resources, carried out by millions of people across the globe. But that process is at a breaking point. The past two decades have brought an exponential increase in market complexity: more information sources, more asset types, more disruptive themes like AI reshaping every corner of the market. For investors, this means exponentially more depth, breadth, and speed required on every decision. The response is a forced tradeoff: zoom in on a sector or basket of companies and manage the flood, but lose sight of adjacent dynamics that move markets. Or zoom out to track broad themes, but l
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