Pathway

www.pathway.com

2 Jobs

53 Employees

About the Company

Pathway is building Live AI(tm) systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think.

Listed Jobs

Company Name: Pathway
Job Title: Machine Learning Researcher / Engineer (Foundational Models)
Job Description: **Job title:** Machine Learning Researcher / Engineer (Foundational Models) **Role Summary:** Conduct research and engineering on next‑generation attention‑based models, focusing on large‑scale distributed training, architecture innovation, and experimental design to advance foundational AI capabilities. **Expectations:** - Deliver cutting‑edge model improvements that outperform current transformer baselines. - Publish research results in leading conferences or create benchmark‑setting code. - Manage GPU‑scale training pipelines and optimize resource utilization. - Mentor or coordinate data‑preparation activities when required. **Key Responsibilities:** 1. Execute distributed training of large neural models using PyTorch, Jax, or TensorFlow. 2. Analyze experiment outcomes and iterate on model architecture and hyper‑parameters. 3. Design new tasks, benchmarks, and evaluation protocols for foundational systems. 4. Integrate and maintain high‑quality code with version control, CI/CD, and model monitoring. 5. Collaborate with cross‑functional teams to ensure alignment with product and research goals. **Required Skills:** - Deep learning research experience, especially with language models and/or reinforcement learning. - Proficiency in GPU programming, memory management, and inter‑node communication. - Strong understanding of graph algorithms and distributed training techniques. - Familiarity with Triton, build systems, and continuous integration. - Excellent written and spoken English; collaborative team orientation. **Required Education & Certifications:** - Master’s degree (or higher) in Computer Science, Electrical Engineering, Machine Learning, or related field. - Minimum 6 months experience at a leading ML research center or an equivalent track record (e.g., publication as lead author in NeurIPS, ICLR, ICML). - Demonstrated contribution to a high‑profile LLM training effort or comparable benchmark achievement. ---

Paris, France

Hybrid

14-11-2025

Company Name: Pathway
Job Title: R&D AI Software Engineer/End-to-End Machine Learning Engineer/RAG and LLM
Job Description: **Job Title** R&D AI Software Engineer / End-to-End Machine Learning Engineer (RAG & LLM) **Role Summary** Design, prototype, and productionize end‑to‑end ML pipelines that process enterprise data streams and enhance large language model performance. Lead experimentation, benchmark development, and continuous integration for high‑quality AI solutions. **Expactations** - Deliver functional ML/AI pipelines within defined timelines. - Maintain code quality, documentation, and test coverage. - Collaborate with cross‑functional teams to translate client requirements into scalable solutions. - Stay current with research and emerging AI technologies. **Key Responsibilities** - Engineer experimental and production ML/AI pipelines from data ingestion to inference. - Prototype hybrid vector/graph indices to outperform RAG benchmarks. - Pre‑process and augment datasets to boost LLM accuracy and training efficiency. - Design benchmarks, run experiments, and analyze results. - Implement unit tests, model monitoring, and CI/CD pipelines. - Contribute production‑ready code to shared developer frameworks. - Iterate on model parameters, reranking strategies, and performance tuning. - Support client deployments involving live data streams. **Required Skills** - Strong software engineering fundamentals (Python, Git, build systems, CI/CD). - Hands‑on experience with ML/DL frameworks (PyTorch/TensorFlow). - Proficiency in data manipulation, feature engineering, and pipeline orchestration. - Familiarity with vector search, graph indexing, and RAG architectures. - Experience in model monitoring, logging, and performance evaluation. - Ability to write clean, maintainable, and testable code. - Curiosity for new AI research, arXiv, and industry developments. - Excellent communication and teamwork. **Required Education & Certifications** - Bachelor’s degree (minimum 4 years) in Computer Science or related field with strong performance in algorithms, graph theory, and machine learning. - Advanced coursework or experience in computational complexity, data structures, and ML theory is preferred. - Certifications in cloud ML services or relevant AI platforms are a plus.

Palo alto, United states

On site

30-01-2026