What's the tech stack?

Joblaze extracted these technologies from the posting: C++, PyTorch, Python, Rust.

What seniority level is this role?

Fundamental targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Applied AI Engineer role at Fundamental.

Joblaze summary

In this role, the Applied AI Engineer focuses on developing and optimizing a large neural network-based tabular model, primarily using Python and Rust. Key skills include strong software engineering fundamentals, experience with machine learning models in production, and proficiency in performance optimization. This position is ideal for someone with a solid background in software engineering and a deep understanding of neural networks, particularly those looking to tackle complex challenges in a pioneering AI company. Fundamental's mission-driven culture emphasizes collaboration and innovation in enterprise decision-making.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Fundamental's career page.
Fundamental has 17 other open roles including MLOps Team Lead, Full-Stack Engineer, Solutions Architect.
6517 active Python roles on Joblaze right now.
1661 active C++ roles on Joblaze right now.
768 active Rust roles on Joblaze right now.
Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3225 roles). See Python salary trends

Quick facts

What's the tech stack?: Joblaze extracted these technologies from the posting: C++, PyTorch, Python, Rust.
What seniority level is this role?: Fundamental targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Applied AI Engineer role at Fundamental.

From the original posting

About Fundamental

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by 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.

Key responsibilities

Take part in development and optimization of a large neural network-based tabular model implemented in Python
Profile training and inference pipelines to identify performance bottlenecks
Rewrite critical components in Rust (via PyO3 or custom extensions) where Python limits us, with C++ (via PyBind11 or custom extensions) as a secondary option where appropriate
Improve memory efficiency, latency, and throughput across model pipelines
Ensure correctness, numerical stability, and reproducibility as the model evolves
Collaborate with ML researchers on productionizing new capabilities
Maintain clean abstractions, comprehensive tests, and clear documentation
Shape architectural decisions for our ML systems handling tabular data

Must have

Strong software engineering fundamentals with expert-level Python and Rust
Hands-on experience bridging Python and Rust (PyO3, maturin, or custom extensions)
Experience developing and maintaining ML models in production
Strong understanding of neural networks
Track record of optimizing performance-critical code
Strong profiling and debugging skills (CPU, memory, latency)

Nice to have

Experience with tabular ML approaches (transformers, tree/NN hybrids, learned embeddings)
Working proficiency in C++ and experience bridging Python and C++ (PyBind11, Cython, or custom extensions)
Familiarity with PyTorch internals or writing custom ops (Rust or C++)
Experience optimizing training loops, data pipelines, or inference engines
Background in numerical computing or systems programming
Exposure to large-scale ML infrastructure (distributed training, batching, caching)
Experience with the Rust async ecosystem (tokio) or SIMD/parallelism crates (rayon, ndarray)

Benefits

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