Applied Research Engineer

Fundamental

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Join Fundamental, a groundbreaking AI company founded by DeepMind alumni, at the forefront of revolutionizing enterprise decision-making. We are pioneering the future with NEXUS, the world's most powerful Large Tabular Model (LTM), meticulously engineered for the structured data that powers critical business choices. Our innovative technology is backed by premier investors and trusted by Fortune 100 companies, unlocking trillions of dollars in value by empowering businesses with unparalleled predictive capabilities.
• As an Applied Research Engineer, you will play a pivotal role at the critical intersection of cutting-edge AI research and robust production deployment. Your primary mission will be to collaborate closely with our esteemed research team, ensuring that the advanced models we develop are not only effective but also seamlessly productionized and efficiently served to our users.
• This role demands a unique blend of deep technical expertise and a practical understanding of real-world application. You will be instrumental in bridging the gap between theoretical advancements in AI and their tangible impact on enterprise users, guaranteeing an optimal user experience through the reliable and efficient delivery of our models.
• Your responsibilities will encompass a broad spectrum of critical tasks aimed at enhancing model performance, scalability, and usability. This includes spearheading efforts to significantly improve model inference efficiency, ensuring that our complex models can process data and deliver results with remarkable speed and minimal latency.
• You will also be deeply involved in model size optimization techniques. This involves exploring and implementing innovative methods to reduce the memory footprint and computational requirements of our models without compromising their accuracy or predictive power, making them more accessible and deployable across various environments.
• A key aspect of your role will be to enhance user-facing functionalities and libraries. This means contributing to the development of intuitive and powerful tools that enable our clients to easily integrate and leverage our AI capabilities within their existing workflows, making advanced AI accessible and actionable.
• Furthermore, you will be responsible for rigorous benchmarking and testing of our models. This involves establishing and executing comprehensive evaluation frameworks to assess model performance, identify potential bottlenecks, and validate improvements, ensuring that our solutions consistently meet the highest standards of quality and reliability.
• You will work with state-of-the-art machine learning frameworks and contribute to the development of novel techniques for accelerating model execution, particularly for large-scale tabular data processing.
• This position offers an exceptional opportunity to work on unprecedented technical challenges in foundation model development, contributing directly to technology that transforms how the world's largest companies make critical decisions.
• You will be an integral part of a category-defining company, helping to shape its trajectory from the ground up and defining the future of enterprise AI.
• Embrace a culture that fosters innovation, collaboration, and a relentless pursuit of excellence. Your work will have a direct and measurable impact on the success of our clients and the advancement of AI in the enterprise space.
• This is more than just a job; it's a chance to be at the vanguard of AI innovation, working alongside brilliant minds on problems that matter and building technology that will shape industries.

🎯 Requirements

• Strong proficiency in Python, coupled with extensive experience using core data science libraries such as Scikit-learn, NumPy, and Pandas.
• Proven experience in accelerating the performance of machine learning models, encompassing both classical ML pipelines and modern deep learning systems.
• Demonstrated experience working with and optimizing ML models beyond the scope of Large Language Models (LLMs), with a focus on tabular data or similar structured data domains.
• Minimum of 3 years of hands-on experience with PyTorch.
• Minimum of 3 years of dedicated experience in model efficiency techniques and implementation.

🏖️ Benefits

• Competitive compensation package including a base salary and significant equity options.
• Comprehensive health coverage, encompassing medical, dental, and vision insurance.
• Robust retirement savings plan with a 401K matching program.
• Supportive fertility benefits and generous paid parental leave for all new parents, including adoptive and surrogate journeys.
• Relocation assistance for individuals or families moving to join our office locations.
• A mission-driven, low-ego work environment that champions diversity of thought, encourages ownership, and promotes a bias toward action.

Skills & Technologies

Python

GitHub

REST

PyTorch

Pandas

Remote

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About Fundamental

Fundamental is a company focused on providing innovative solutions and services. They aim to empower businesses by leveraging cutting-edge technology and expert insights. Their offerings span various sectors, addressing complex challenges with tailored approaches. The company is committed to driving growth and efficiency for its clients through a blend of strategic planning and practical execution. With a strong emphasis on research and development, Fundamental continuously seeks to advance its capabilities and deliver value-added services. Their client-centric model ensures that solutions are aligned with specific business objectives, fostering long-term partnerships and mutual success. Fundamental strives to be a reliable partner in navigating the evolving business landscape.

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