Machine Learning Researcher
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Requirements
industry for new, relevant external benchmarks for tabular data. You will evaluate our models against these public benchmarks and maintain those pipelines. - Maintain Competitive Baselines: The AI landscape moves fast. You will monitor external foundation models and classical ML baselines, integrating and updating them within our system so we always know exactly how we stack up against the state-of-the-art. - Manage the Internal Leaderboard: Create and maintain a comprehensive leaderboard and characterization of our models. You will be responsible for reporting back to the research team exactly where our models are excelling and where they are falling short. Must have - Proven experience in Machine Learning, Data Science, or AI Engineering, with a strong focus on model evaluation, testing, or benchmarking. - Strong programming skills in Python and relevant libraries such as pandas. - A, solid understanding of traditional ML metrics alongside emerging ways to evaluate
Benefits & conditions
foundation model outputs, Experience building and maintaining automated testing pipelines or evaluation harnesses. - Excellent internal communication skills. You need to be comfortable telling the research team hard truths about model regressions, and adept at translating field requirements into technical metrics. - Experience with translating real-world problems into quantifiable metrics. Nice to have - Experience with tabular data or time series forecasting. 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
About the company
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. We are looking for a Machine Learning Researcher - Evaluations to establish the ground truth for what our models can actually do. In this role, you will take ambiguous, real-world data challenges and translate them
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production
What Are Large Language Models?
MLOps – What’s the deal behind it?
MLOps And AI Driven Development