ML Research Intern

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.

Our Operating Principles

Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority.

Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We're kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team.

Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes.

Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren't attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking "outside the box" to consistently raise our standards.

Prioritize Outcomes over Egos. We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress.