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

Ellis Technologies, Inc.; Seattle (WA); On-site; USD 64,781 - 92,264; Full time

Benefits offered by this job

Health insurance

Paid holidays

Paid sick time

Housing allowance for onsite workers

Job summary

Ellis Technologies, Inc. is seeking a Researcher Intern for Summer 2026 in Seattle. The intern will develop impactful features and solve complex problems in cutting-edge research for computer vision and machine learning.

Candidates should be pursuing a PhD with a strong research background in relevant fields. The role offers a competitive hourly rate and valuable benefits like health insurance, paid holidays, and a housing allowance for onsite workers.

Qualifications

• Currently pursuing a PhD with strong research in computer vision or related areas.
• Able to commit to a 12-week internship during Summer 2026.
• Highly competent in algorithms and independent work.

Responsibilities

• Build new features impacting millions worldwide.
• Solve complex technical problems.
• Conduct R&D in computer vision and machine learning.

Skills

Algorithms and programming

Computer vision

Machine learning

Creativity and problem solving

Team collaboration

Education

PhD in Computer Science or related discipline

Job description

Researcher Intern (Intelligent Creation‑Vision and Graphics) – 2026 Start (PhD)

Location: Seattle

Employment Type: Intern

Job Code: A76660

Responsibilities

• Build new features that touch hundreds of millions of people worldwide.
• 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

• Minimum 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 conferences 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.
• Preferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications; High levels of creativity and quick problem‑solving capabilities.

Benefits

The hourly rate range for this position in the selected city is $57–$57.

Benefits may vary depending on the nature of employment and the country work location. 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 the first half of the year, 40 if hired in the second half of the year). Interns who are not working 100% remote may also be eligible for a housing allowance.

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

EEO Statement

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; and
3. Exercising sound judgment.