Machine Learning Research Engineer, Scientific AI

Just Food Company is on a mission to build a healthier, safer, and more sustainable food system—starting with what’s on your plate. From pioneering plant-based eggs to making real meat without slaughter, we’re reimagining the future of food in ways that are better for people and the planet.

We’re a lean, passionate team of scientists, chefs, engineers, and operators who believe that doing hard things well can make a meaningful difference. We’ve brought groundbreaking innovations to market, like Just Egg and GOOD Meat, and we’re just getting started.

If you’re excited by big challenges, real impact, and the chance to shape what the future tastes like—we’d love to meet you.

Learn more about us and our products →

Just Food Company uses science and technology to build a better food system.

Our work brings together protein science, food science, machine learning, product development, and commercial execution. We investigate proteins, understand how their properties translate into food functionality, and use those insights to create products that can compete on taste, performance, nutrition, affordability, and scale.

We believe machine learning can fundamentally change both how we conduct scientific research and how we operate as a company. We are looking for an exceptional Machine Learning Research Engineer to help us build that capability.

This role has two connected mandates.

You will build machine learning systems that help us identify, evaluate, and validate proteins with valuable food functionalities. Our goal is to create a faster learning loop between prediction and experimentation: identify promising proteins, predict how they may perform in food, select the most informative experiments, and use experimental results to continuously improve subsequent predictions and decisions.

You will work with teams across the organization to identify important workflows that AI can materially improve and build practical systems that help people access knowledge, analyze information, make decisions, and execute their work more effectively.

This is an opportunity for someone who wants to apply modern machine learning to challenging scientific problems while also helping shape how an organization uses AI more broadly.

As a Machine Learning Research Engineer, you will work at the intersection of machine learning, scientific research, and practical implementation.

Within R&D, you will develop models that connect protein sequence, structure, biochemical properties, and experimental data to functional performance in food. You will work closely with protein scientists, food scientists, and product developers to determine which proteins to investigate, what experiments to run, and how to learn systematically from every result.

Depending on the problem, your work may involve protein representation learning, graph and geometric deep learning, multimodal models, generative or diffusion models, active learning, Bayesian optimization, or other approaches. We are not committed to a particular model family. We care about selecting the right method for the scientific problem and rigorously evaluating it against real experimental outcomes.

Beyond R&D, you will apply the same problem-solving mindset to opportunities across the company. Working directly with teams in product development, sales, operations, and other functions, you will identify high‑value applications for AI, rapidly develop and evaluate solutions, and turn successful prototypes into reliable tools.

This is a highly hands‑on role. You will have significant ownership and autonomy while working closely with scientists, functional teams, and company leadership.