ML Researcher
Most applications go out cold — see where you stand first. No sign-up to start.
Don't just apply. Show up ready.
Olive works from this exact posting — no sign-up to start.
At a glance
Requirements
Credentials this posting asks for.
Job overview
Fundamental is hiring a ML Researcher. Fundamental is an AI company specializing in enterprise decision-making, founded by DeepMind alumni. They have developed NEXUS, a Large Tabular Model (LTM) for structured records. The company is backed by investors and trusted by Fortune 100 companies, aiming to unlock significant value by enhancing predictive capabilities for businesses. This role involves working on foundation model development and contributing to transformative AI technology.
Key focus areas include Contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models, Focus on the entire lifecycle of the models, and Be responsible for models’ performance, including evaluation scores through novel architectures and training methods.
Important skills include Machine Learning Research Cycle, Software Engineering Fundamentals, Python, ML Frameworks, AI Model Development Lifecycle, and Developing New ML Methods. Preferred (not required): Architecture Research, Distillation (Model Compression), Evaluation, and Code Generation.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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 As part of the Research team, you will contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models that will be deployed in the real world. Your work will be focused on the entire lifecycle of the models. Alongside the rest of the ML researchers in the team, you will be responsible for our models’ performance in every meaning of this word - 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. The greatest research is done through solid engineering, so alongside the research you will also 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.
Must have
-
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:
-
Full lifecycle of AI model development
-
ML infrastructure frameworks and tools
-
Developing new ML methods, algorithms and models
-
GPUs (or TPUs) and distributed training
-
Scaling up models and training regimes
-
Knowledge of:
-
Classical ML methods and algorithms
-
Deep Learning techniques
Nice to have
-
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
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
You've read the whole posting — now see how you match it.