AI Intern - Summer 2026 at UPSIDE Foods

Emeryville, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

25.0

Posted On

12 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML Models, Generative AI, Time-Series Neural Networks, Hybrid Modeling, LLM Agents, Python, SQL, PyTorch, API Integrations, Data Pipelines, Bioprocessing, Cell Biology

Industry

Food and Beverage Manufacturing

Description

About us: Based in Berkeley, CA, UPSIDE Foods grows meat, poultry, and seafood directly from real animal cells. These products are not vegan or vegetarian—they are delicious meat, made without the need to raise and slaughter billions of animals. In doing so, the company aims to address some of the most pressing environmental, animal welfare, and public health challenges, while still giving people the meat they love. Founded as the world’s first cultivated meat company in 2015, UPSIDE Foods (formerly Memphis Meats) has achieved numerous industry-defining milestones, including being the first company to produce multiple species of meat (beef, chicken, and duck) and to sell a cultivated meat product in the United States. The company believes that people shouldn’t have to choose between the foods they love and a thriving planet, and is working to build a better food system with access to delicious, humane, and sustainable meat, poultry, and seafood. UPSIDE Foods has won various industry awards, including New York Times’ Good Tech Awards, FastCo’s Next Big Thing in Tech and World Changing Ideas Awards, and the Best and Brightest Companies to Work For in the Nation by the National Association for Business Resources. UPSIDE Foods has raised a total of $608 million, including from the Abu Dhabi Growth Fund (ADG), Baillie Gifford, Bill Gates, Cargill, John Doerr, John Mackey, Kimbal and Christiana Musk, Norwest, Richard Branson, Softbank, Temasek, Threshold, Tyson Foods, and others. About this Internship: At UPSIDE Foods, we’re turning the promise of cultivated meat into a delicious, nutritious reality, and we’re using AI to do it, from faster R&D to scaled manufacturing and commercial. As an AI Intern within the Enterprise Intelligence team, you’ll join a tight‑knit group of data scientists and IT & software developers who partner with our sci/tech teams to use advanced computing to make meat. Your work will advance our AI portfolio and become central to the worldwide scale of cultivated meat, contributing to a sustainable global food system. This AI Internship is a chance to deliver full life-cycle AI deployments, from stakeholder design to shipping new services. You’ll start with data exploration and white‑boarding use‑cases with stakeholders. You might mine time-series data for hidden predictors, or engineer robust pipelines in Python and SQL, or prototype neural networks in PyTorch. Expect to juggle API integrations, Lambda‑style micro‑services, and data‑engineering touchpoints as you weave LLM‑powered chat, search, and automation features directly into existing UPSIDE infrastructure. You’ll partner with biologists to ensure your features honor metabolic reality, iterate with manufacturing engineers to translate raw sensor streams in algorithms and push models across scales, and ship crisp visualizations that make complex kinetics intuitive for non‑experts. This sixteen week internship will give you a front‑row seat to how AI integrates with mammalian and avian cell biology, and by the end, you’ll have deployed three or more applications that drive meaningful value and enable the future of food. Responsibilities include: Collaborate with stakeholders to envision and design AI-first workflows and AI agents that are teammates for UPSIDErs. Explore our R&D and MFG data landscape in search of predictive data and insights, and develop custom data pipelines where needed. Design and implement AI/ML workflows from data preprocessing to prediction, applicable across bioreactor scales and species. Integrate AI solutions within organizational tools (e.g., Slack, Jupyter) and data sources, and leverage dashboards or lower-tech solutions when appropriate. Work closely with IT and Data teammates to ensure infrastructure support. About you: Proficiency in ML and Generative AI models, particularly time-series neural networks, hybrid modeling, and/or LLM agents for scientific research. Strong coding skills in Python and SQL, with PyTorch experience; dashboard visualization skills are desired but not required. Demonstrated experience in building AI/ML integrations, including using API’s, Lambda (or equivalent) and pipelines / other transport & transform methodologies. Ability to gather requirements and translate them into technical solutions, and to integrate AI solutions with existing infrastructure. Familiarity with bioprocessing and cell biology concepts. Preference for recent graduates or those doing a Master’s program in AI, computer science, or data science. Required to be on-site 3-days a week at our facility near Berkeley, CA Who you’ll work with: Our Enterprise Intelligence team, who has instrumented our manufacturing and R&D data, steward our data lake, and design models. Bioprocess and cellular‑biology engineers and manufacturing staff who will translate model outputs and visualizations into real‑world operations and interventions that boost cell growth, flavor, and yield. Cross‑functional R&D partners in analytics, product, and sensory science who rely on your insights to shape the next generation of cultivated meat. Leaders across the whole organization who are eager for LLM‑driven data exploration, literature or document review, and workflow acceleration. Length of internship: 16 weeks Compensation Range: $25/hr UPSIDE Benefits! 3 Weeks PTO Accrued Annually Company-sponsored learning & development opportunities UPSIDE Foods is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our company-wide mission is to create a product for everyone, so we are deeply committed to having teams and leaders that reflect this mission.

Responsibilities

Collaborate with stakeholders to design AI-first workflows and explore R&D and manufacturing data for predictive insights. Develop and implement AI/ML workflows and integrate solutions within organizational tools.