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Geoscience Internships Jobs in California (NOW HIRING)

Geoscience Internships information

What are geoscience internships?

Geoscience internships are temporary, structured work experiences for students or recent graduates interested in earth sciences. These internships provide hands-on training in areas such as geology, environmental science, hydrology, or geophysics, often involving both fieldwork and lab analysis. Interns gain practical skills, industry knowledge, and networking opportunities, which are valuable for pursuing a career in geosciences. Many organizations, including research institutions, government agencies, and private companies, offer these internships to help bridge the gap between academic studies and professional work.

What is the difference between Geoscience Internships vs Geoscientist?

AspectGeoscience InternshipsGeoscientist
Required CredentialsTypically pursuing or holding a bachelor's degree in geoscience or related fieldBachelor's degree required; often a master's or Ph.D. for advanced roles
Work EnvironmentField sites, laboratories, officesResearch institutions, consulting firms, government agencies
Employer & Industry UsageInternship programs offered by universities, companies, government agenciesFull-time professional roles in geology, environmental consulting, energy, and mining

In summary, Geoscience Internships are entry-level positions designed for students or recent graduates to gain practical experience, while Geoscientists are fully qualified professionals conducting research, analysis, and consulting in the geoscience industry.

What are the key skills and qualifications needed to thrive as a Geoscience Intern, and why are they important?

To thrive as a Geoscience Intern, you generally need a strong background in earth sciences, geology, or a related field, often supported by progress toward a relevant bachelor's or master's degree. Familiarity with GIS software, data analysis tools, and laboratory equipment is typically required, and some internships may prefer candidates with safety or fieldwork certifications. Strong analytical thinking, attention to detail, and effective communication skills help interns excel in both independent research and collaborative projects. These competencies ensure interns contribute meaningfully to scientific investigations and adapt to the technical and teamwork demands of geoscience work.
What cities in California are hiring for Geoscience Internships jobs? Cities in California with the most Geoscience Internships job openings:
Infographic showing various Geoscience Internships job openings in California as of July 2026, with employment types broken down into 64% Internship, 3% As Needed, 27% Full Time, 4% Part Time, 1% Temporary, and 1% Summer. Highlights an 87% Physical, 8% Hybrid, and 5% Remote job distribution.
Senior Applied AI Engineer, Early Stage Project, X

Senior Applied AI Engineer, Early Stage Project, X

X, The Moonshot Factory

Mountain View, CA • On-site

$124K - $170K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
X, The Moonshot Factory is an innovative company focused on early-stage geoscience AI projects. The Senior Applied AI Engineer will translate cutting-edge AI research into real-world products, driving high-impact outcomes through experimentation and scalable training infrastructure.
Responsibilities:
• Act like an owner; be fearless in diving deep, asking questions, proposing solutions, establishing consensus and then making things happen.
• Define ML experiments, perform data reviews, train and test various multimodal ML architectures.
• Extensive use of AI for code tooling.
• Get your hands dirty! Identify, design, and implement a set of experiments and move them to MVPs.
• Have fun, learn from your teammates and teach them as well!
Qualifications:
Required:
• MS/PhD in CS or equivalent practical experience in ML, and 6+ years of professional experience building and releasing production software (in addition to internships)
• 3+ years of hands-on industry experience in AI research, scalable model training, evals, and model deployments.
• ML Ops experience - setting distributed training and eval pipelines.
• Hands-on experience building scalable data pipelines and managing ML workflows.
• Substantial experience with machine learning frameworks and libraries, such as PyTorch, Hugging Face, or TensorFlow.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform).
• Experience using AI code generation tools.
• Strong Python proficiency.
Preferred:
• Experience with multi-model models is strongly preferred.
• We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.
Company:
X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet. Founded in 2010, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.