ML Researcher (remote)

Fundamental

1d • Remote

About The Position

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.

Requirements

• Strong familiarity with the full research cycle in Machine Learning
• Strong fundamentals of software engineering
• Strong knowledge of Python, and its ML frameworks
• Experience with the full lifecycle of AI model development
• Experience with ML infrastructure frameworks and tools
• Experience with developing new ML methods, algorithms and models
• Experience with GPUs (or TPUs) and distributed training
• Experience with scaling up models and training regimes
• Knowledge of classical ML methods and algorithms
• Knowledge of Deep Learning techniques

Nice To Haves

• Expertise within one of the following areas is a strong bonus: Architecture Research, Distillation (Model Compression), Evaluation, Code Generation, LLMs
• Experience with foundational models, e.g. LLMs
• Published research at AI conferences
• Contributions to open source ML projects
• Experience working with tabular data / predictive analytics
• High Kaggle rank
• BSc/MSc/PhD in computer science/machine learning

Responsibilities

• Contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models that will be deployed in the real world.
• Focus on the entire lifecycle of the models.
• Be responsible for our models’ performance, whether this means achieving high evaluation scores through novel architectures and training methods, establishing the evaluation protocols themselves, or implementing methods that allow for efficient training and inference.
• Take part in ensuring that our research code allows swift, rapid development and testing of new ideas - both your own and the rest of the team’s.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED