Researcher Intern (Vision and Graphics)- 2026 Start (PhD)

Ellis Technologies, Inc.; San Jose (CA); On-site; USD 68,191 - 97,120; Part time

Benefits offered by this job

Health insurance

Life insurance

10 paid holidays per year

Paid sick time

Possible housing allowance

Job summary

Ellis Technologies, Inc. is seeking a Researcher Intern for Summer 2026 in San Jose, California. This role involves building impactful features and conducting cutting-edge research in vision and graphics.

PhD candidates in Computer Science or related fields with a strong research background are encouraged to apply. Interns will receive $60 per hour and access to health insurance and paid holidays.

Qualifications

• Able to commit to 12 weeks during Summer 2026.
• Strong research track record in computer vision, graphics, machine learning.
• Demonstrated software engineering experience.

Responsibilities

• Build new features impacting millions worldwide.
• Conduct research in computer vision and machine learning.
• Work with Research Scientists on advanced technologies.

Skills

Algorithms and programming

Collaboration

Creativity

Problem-solving

Education

PhD in Computer Science or related technical discipline

Job description

Researcher Intern (Vision and Graphics) - 2026 Start (PhD)

Location: San Jose

Employment Type: Intern

Job Code: A113073

Responsibilities

• Build new features that touch hundreds of millions of people around the world.
• Solve unique, large-scale, highly complex technical problems.
• Build the next-generation monetization platform to help millions of customers grow their businesses.
• Work with your mentor to deliver product features and make engineering improvements.
• Build world‑class web applications that combine usability, accessibility, elegance, performance, and maintainability.
• Conduct cutting‑edge research and development in computer vision, machine learning and other related fields.
• Work with Research Scientists to deliver advanced technologies to TikTok products.

Qualifications

• Able to commit to working for 12 weeks during Summer 2026.
• Currently pursuing a PhD in Computer Science or a related technical discipline.
• Strong track record of research in one or more areas of computer vision, computer graphics and machine learning, preferring candidates with publications in top‑tier venues such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR.
• Highly competent in algorithms and programming.
• Work and collaborate well with team members.
• Ability to work independently.
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• High levels of creativity and quick problem‑solving capabilities.

Job Information

The hourly rate range for this position in the selected city is $60–$60.

Benefits

Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Equal Employment Opportunity

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
3. Exercising sound judgment.