Software Engineer, Machine Learning
You will join the Research team as the first software engineer to own the core codebase for model development.
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On-site in Barcelona·Full-time·Added 6 months ago
This job was published 6 months ago
12 open roles
Full-time hours
Per the ad.
A relocation package
Help with the move, per the ad.
Relocation help
Indicative — the ad doesn’t promise sponsorship.
Work in English
English is required, per the ad.
Work on-site in Barcelona
A relocation package offered.
Have senior-level experience
Senior-level role.
Competitive compensation with salary and equity
Comprehensive health coverage for you and your dependents
Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
Relocation support for employees moving to join the team in one of our office locations
A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Strong understanding of modern ML architectures and large-scale training pipelines
Experience running distributed training jobs on multi-GPU systems
Advanced profiling and debugging skills across CPU, GPU, memory usage, latency, and inter-GPU communication
Strong programming skills in Python
Experience with model scaling and parallelization strategies, including tensor and pipeline parallelism
Familiarity with NCCL, MPI, and distributed communication primitives
Knowledge of PyTorch and Triton internals
Programming experience with C++ and CUDA
Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.
At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
Profile end-to-end distributed training runs to identify bottlenecks across compute, GPU memory, and inter-GPU communication
Contribute to architectural decisions that improve the efficiency and reliability of large-scale training jobs, including developing Triton/CUDA kernels when needed
Design and implement model scaling, parallelization, and memory optimization techniques for training workloads with very large context sizes
Collaborate closely with ML Researchers to diagnose architectural inefficiencies, ensure new research ideas scale efficiently in practice, and spread internal knowledge about model efficiency and optimization
Drive the productionization and serving of our models from the research side, including improving inference efficiency through techniques such as quantization
Fundamental is a London-based AI research and engineering company that develops advanced machine learning systems and developer tools. The company focuses on applied AI, bridging cutting-edge research with production-grade engineering to build products that serve developers and enterprises. Its team is composed of researchers, ML engineers, and software engineers working on model serving, MLOps, and applied AI challenges.
Fundamental is expanding its engineering and research presence in Spain, with a dedicated hub that hosts roles across ML research, MLOps, backend, and full-stack development. The company offers a research-driven culture with a strong emphasis on technical excellence, making it an attractive destination for international engineers and researchers looking to work on challenging AI problems while based in Spain.
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