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About the Role

Visionary and highly technical Senior Data Platform Engineer to architect, implement, scale, and maintain the data engine powering next-generation frontier models. This role bridges cutting-edge AI research and high-performance engineering, treating the data platform as an internal product with researchers as primary customers. Responsibilities include building automated, petabyte-scale data processing pipelines and ensuring efficiency, reliability, and traceability. The role requires evolving the technical environment, staying abreast of industry trends, and making sustainable decisions in collaboration with Research and Product teams.

Responsibilities

Scale and automate the data processing stack to handle petabytes of data and ensure its smooth operation.
Design the execution layer for pipeline stages of differing computational shape, matching each stage to an appropriate engine and keeping the pipeline saturated end to end.
Ensure efficient use of compute resources, including GPU access for compute-intensive data processing tasks.
Make pipelines reliable at scale, with graceful failure recovery, restartability, and observability that attributes bottlenecks and cost to the responsible stage.
Ensure all datasets, including intermediate outputs, are versioned, reproducible, and fully traceable to meet specific and dynamic experiment needs, and are accompanied by datasheets, in accordance with internal Data Governance policies.
Partner with the Research team to ensure the datasets produced integrate seamlessly with training pipelines.

Requirements

5+ years of experience designing, implementing, and managing large-scale distributed data processing systems, or working within large-scale distributed ML data frameworks, with recent experience using e.g. Ray, Apache Spark, workflow orchestrators, Apache Arrow, and/or Parquet.
Demonstrated ownership of a data processing system under real throughput, reliability, and cost pressure.
Experience profiling and optimizing throughput and cost across heterogeneous workloads, including GPU-accelerated stages.
Experience with dataset versioning, lineage, and reproducibility tooling.
Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in large-scale data processing and software development.
Experience with workload managers (e.g., Ray, Kubernetes, Slurm).
Familiarity with containerization tools (e.g., Docker, Enroot).
Familiarity with data infrastructures and platforms (e.g., vector databases).

Skills

Ray
Apache Spark
workflow orchestrators
Apache Arrow
Parquet
GPU-accelerated stages
dataset versioning
lineage
reproducibility tooling
cross-functional collaboration
documentation
large-scale data processing
software development
Kubernetes
Slurm
Docker
Enroot
vector databases

Location

Montreal

Work Type

Full-time

Experience Level

Senior
5+ years

Education Level

Bachelor's degree in a relevant field (e.g., computer science, computer engineering, software engineering)

About the Company

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

Equal Opportunity

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.
Your personal information will be collected and processed by LawZero to evaluate your application for employment in compliance with our Privacy Policy. Under privacy laws in force in your country of residence, you may have several privacy rights, such as to request access to your personal information or to request that your personal information be rectified or erased. Details on how you can exercise your rights can be found in our Privacy Policy.