Senior ML Research Developer

LawZero; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

LawZero seeks a senior machine learning research developer to join our team working on a novel AI safety agenda. You will collaborate with ML research scientists to solve training and inference challenges using very large models and to design efficient workflows for research experiments.

The role involves building tools to optimize computing resources and establishing best practices for ML development. You will work at the intersection of research and implementation, deploying and evaluating

Qualifikationen

• Requires MSc or higher in ML or equivalent experience.
• 5+ years of industry experience designing ML workflows on HPC with PyTorch, TensorFlow, or JAX.
• Experience collaborating with cross-functional teams and documenting best practices.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with Docker and Kubernetes.

Aufgaben

• Collaborate with researchers to accelerate ML research, training, and inference for large models.
• Design and implement experiments across toy and large-scale projects.
• Develop tools to optimize computing resource use and workflows.
• Document and maintain ML development best practices.

Kenntnisse

ML research

Collaboration

Deep learning

Cloud platforms

Docker/Kubernetes

Vector databases

Ausbildung

MSc or higher in ML

CS degree

Tools

Docker

Kubernetes

Vector databases

HPC

Jobbeschreibung

We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
• Design and implement workflows for research experiments across toy scenarios and large scale projects.
• Develop tools and libraries to optimize the use of computing resources.
• Establish, document, and maintain best practices for ML model development workflows.

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

About LawZero

LawZero is a non-profit organization committed to advancing research and creating technical solutions that enable safe‑by‑design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non‑agentic AI that learns primarily to understand the world rather than to act in it, giving truthful answers to questions based on transparent and externalized probabilistic reasoning. Such AI systems could be used to accelerate scientific discovery, to provide oversight for agentic AI systems, and to advance the understanding of AI risks and how to avoid them. LawZero believes that AI should be cultivated as a global public good—developed and used safely towards human flourishing. For more information, visit www.lawzero.org

You belong here

At LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.

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