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Intern Vector Jobs in California (NOW HIRING)

MYR Group

DoD SkillBridge Intern- Safety

Chino Hills, CA · On-site

$15.25 - $20.25/hr

Gain experience in hazard identification, energy-based safety principles, safety observations, incident prevention, and safety systems (QuickBase and Vector) while working alongside field leadership ...

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Intern Vector information

What typical projects or tasks can an Intern Vector expect to work on during their internship?

As an Intern Vector, you can expect to support projects involving data analysis, algorithm development, and software testing, often under the guidance of senior engineers or data scientists. Your daily responsibilities may include assisting with coding, debugging, and documentation, as well as collaborating with team members during meetings or code reviews. This role provides valuable exposure to real-world technical challenges and the opportunity to contribute to meaningful projects, helping you build practical skills and professional relationships that can aid in your future career growth.

What is the difference between Intern Vector vs Intern Data Analyst?

AspectIntern VectorIntern Data Analyst
Required CredentialsBasic coursework in vector mathematics, computer science, or related fieldsCoursework in statistics, data analysis, or related fields
Work EnvironmentTech companies, research labs, or software development teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in fields involving computer graphics, simulations, or machine learningCommon in industries analyzing data for insights and decision-making
Search & Comparison IntentUnderstanding roles involving vector computations or graphicsRoles focused on data analysis and interpretation

Intern Vector typically involves working with mathematical vectors in tech or research settings, focusing on algorithms or graphics. Intern Data Analyst centers on analyzing data sets to generate insights, often in business or healthcare. While both are internships, their focus areas and skill requirements differ significantly, catering to distinct industry needs.

What are Intern Vectors?

Intern Vector positions are typically internship roles focused on vector mathematics, data structures, or computational tasks involving vectors, often in fields like computer science, data analysis, or engineering. Interns in these roles may assist with coding, machine learning projects, or research that involves vector operations and algorithms. These internships provide hands-on experience, mentorship, and a chance to develop technical skills relevant to the industry. Intern Vectors help bridge academic knowledge with real-world applications, giving students a valuable entry point into their chosen fields.

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

To thrive as an Intern Vector, you typically need a background in mathematics, computer science, or engineering, supported by ongoing pursuit of a relevant degree. Familiarity with programming languages (such as Python or C++), data analysis tools, and version control systems like Git is often expected. Strong communication, teamwork, and adaptability help you integrate into professional environments and contribute effectively to projects. These skills and qualities are crucial for successfully applying academic knowledge in practical settings and for building a foundation for future career growth.
What are the most commonly searched types of Vector jobs in California? The most popular types of Vector jobs in California are:
What are popular job titles related to Intern Vector jobs in California? For Intern Vector jobs in California, the most frequently searched job titles are:
What job categories do people searching Intern Vector jobs in California look for? The top searched job categories for Intern Vector jobs in California are:
What cities in California are hiring for Intern Vector jobs? Cities in California with the most Intern Vector job openings:
Intern Vector jobs near you
PhD Research Intern AI Memory & Personalized Education

PhD Research Intern AI Memory & Personalized Education

7Edu Impact Academy

Cupertino, CA • On-site

$5.0K/mo

Full-time

Retirement

Posted 8 days ago

Be an early applicant

Job description

Benefits:
  • 401(k) matching
  • Flexible schedule
  • Opportunity for advancement

About 7EDU

7EDU is an education technology organization dedicated to long-term academic planning and student development. For over a decade, we have supported K12 learners through structured advising, college admissions strategy, and personalized mentorship, while building proprietary tools and frameworks to support scalable, data-informed guidance.
Our AI systems are designed to support longitudinal educational decision-making integrating student progress, parental input, and instructional context to enable personalized, responsible, and evidence-based support.

About the Role
We are seeking a PhD-level researcher for a 1012 week summer internship focused on a critical technical and design challenge: Educational AI Memory. The selected candidate will define how an AI system effectively retains, synthesizes, and utilizes long-term context from multiple perspectives to drive truly personalized education.
We are building an advanced AI platform designed to facilitate long-term educational planning and decision-making across three key stakeholders: Students, Parents, and Teachers. This role combines theoretical framework design, applied AI prototyping, and empirical validation in a live product environment.
Key Responsibilities
Framework Design: Develop a theoretical framework for Triangulated AI Memory within an educational context.
Applied Research: Collaborate with the engineering team to prototype memory architectures (e.g., RAG systems, vector stores, long-term context management) aligned with pedagogical objectives.
User Modeling: Explore and formalize methods for representing evolving student, parent, and teacher perspectives within AI systems.
Validation Studies: Design and conduct qualitative and/or quantitative research to evaluate system utility, trust, and personalization effectiveness.
Product Translation: Translate research concepts into actionable technical specifications.
Publication: Contribute to a co-authored paper targeting top-tier venues (e.g., CHI, LAK, EDM, NeurIPS) based on the summers research.

Qualifications
Currently enrolled in a PhD program in Computer Science, Human-Computer Interaction, Artificial Intelligence, Learning Sciences, or a related field, with a research focus in machine learning, memory architectures, user modeling, or human-centered AI
Strong track record of research in AI and machine learning
Demonstrated experience in User Modeling, Recommender Systems, Large Language Models (LLMs), or related areas
Solid understanding of the ethical, privacy, and design implications of AI in human-centered environments
Ability to translate theoretical research concepts into clear, actionable product and technical specifications
Please email your application to: hiringteam@7edu.org
Email Subject: AI Research Internship FULL NAME

  • Resume
  • A brief cover letter outlining your research interests regarding AI memory or user modeling.
  • A link to Google Scholar or an attachment of one relevant writing sample/paper.

Flexible work from home options available.