Junior Data Scientist at Arva

• Job Location San Francisco, CA
• Seniority Internship
• Type Full-time

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Description

Department: Science / Research & Innovation Reports to: Director of Research Sciences Location: San Francisco, CA / Berkeley (Hybrid schedule) Base Salary Range: $65,000 to $85,000 annually General Position Description The Junior Data Scientist plays a key role in supporting AI and machine learning initiatives by building and maintaining data processing pipelines, training and validating models, and contributing to the development of deep learning solutions.

This role involves working with PyTorch Lightning, applying best practices in model experimentation, and exploring a range of deep learning architectures, both current and historical.

The position is ideal for someone eager to grow hands-on experience in regenerative agriculture and deep learning solutions while collaborating closely with a cross-functional teams of researchers, data scientists, and technology.

In this role, you’ll benefit from direct mentorship by experienced data scientists, meaningful exposure to real-world, high-impact projects, and the chance to grow your skills in a fast-moving, supportive environment.

Whether you're experimenting with new modeling techniques or contributing to scalable solutions, you’ll be part of a team that values curiosity, collaboration, and continuous learning while being part of a team that values curiosity, collaboration, and continuous learning, all in service of creating a future with regenerative ingredients that nourish both people and the planet for generations to come.

Primary Job Responsibilities Build, train, and evaluate deep learning models using PyTorch Lightning.

Design and implement data processing pipelines for structured and unstructured data, ensuring data quality and integrity throughout the workflow.

Apply and compare current and historical deep learning architectures to support sustainable solutions in agriculture.