Machine Learning / AI Software Engineering Internship

About Pathway

At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans.

Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.

Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.

The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California.

The Opportunity

We are currently seeking Machine Learning/AI Software Engineering interns with a strong track record in research on machine learning models.

You Will

• Support training of LLMs,
• Benchmark LLMs,
• Prepare and evaluate training datasets,
• Support the core Pathway Research Team.

The results of your work will play an important role in advancing the AI field.

Requirements:
Cover letter

It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.

You are expected to meet at least one of the following criteria:

• You were an ICPC World Finalist, or an IOI, IMO, IOAI or IPhO medalist in High School.
• You have published a research paper at an A-rated o A*-rated venue (according to ICORE).
• You have completed coding projects - ideally with a GitHub repository showcasing previous work.
• You were an intern at a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA).
• You can get a warm recommendation from you university faculty member.

You

• Have some experience in deep learning research, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply).
• Are interested in improving foundational architectures and creating new benchmarks.
• Are experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow).
• Have a good understanding of GPU architecture, memory design, and communication.
• Have a good understanding of graph algorithms.
• Have some familiarity with model monitoring, git, build systems, and CI/CD.
• Are respectful of others.
• Are fluent in English .

Benefits:
Why You Should Apply

• Join an intellectually stimulating work environment.
• During your internship, you will collaborate on a cutting edge research project.
• Be a pioneer: you get to work with a new type of "Live AI" challenges.
• Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.

Further details

• Preferable joining date: August 2025. The positions are open until filled – please apply immediately.
• Duration: 3-6 months
• Compensation: based on profile and location.
• Location: Hybrid - regular presence in our office in Palo Alto, CA is required. Possibility to work or meet with other team members in one of our other offices: Paris, France or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or Canada.

If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.