Pika Internship 2027–2028: Programs, Deadlines & How to Apply
Last updated: July 2026
Pika pays its interns $10,000 per month to work on frontier AI video generation at a startup valued at roughly $700 million with only about 108 employees. Founded in April 2023 by Demi Guo and Chenlin Meng, two Stanford AI PhD dropouts, Pika has raised $135 million and competes directly with OpenAI Sora, Runway, and Google DeepMind for the same talent. For the 2027–2028 cycle, the company currently lists just one intern slot at a time on its Ashby board, and rolling intake means the posting can close the day it fills. Applying the week it appears is the only timing strategy that works.
Quick Facts
| Fact | Detail |
|---|---|
| Where to apply | jobs.ashbyhq.com/pika and pika.art/careers. Apply the day a research intern posting appears |
| Application window (2027–28) | Expected October to December 2026 for summer 2027 roles. Rolling intake; the previous summer listing was removed September 2025, suggesting a similar rhythm |
| Rolling? | Yes. The current Research Intern listing offers flexible part-time and full-time terms with no fixed deadline, suggesting continuous hiring. Apply as soon as the posting is live |
| Eligibility | BS, MS, or PhD candidate. Demonstrated video generation (Videogen) experience strongly preferred. Proficiency in Python and PyTorch required. Understanding of diffusion models, Transformers, or similar generative architectures |
| Duration | Flexible part-time or full-time terms. Summer internships typically run 12 weeks, May or June through August or September |
| Compensation | $10,000/month (from prior BuiltInSF listing). Catered lunch and dinner in office. Weekly team events. Housing and transportation not included |
| Visa sponsorship | Not explicitly confirmed. Likely supports OPT/CPT for F-1 students given Palo Alto location and funding level. Verify during recruiter screen |
| Locations | Palo Alto, CA (HQ). All positions on-site only; no remote option |
| # Programs | 3 active research focus areas (Videogen, Multimodal Generation, Agentic Platforms) plus 1 expired summer track. Typically 1 intern slot listed at a time |
Pika is a 108-person, $700M-valued AI video startup that typically lists just one intern slot at a time, making it one of the most competitive research internships in generative AI. Rolling review, a $10K/month salary, and a team of Stanford-caliber researchers mean early submission and demonstrated Videogen experience do the work.
Externships are short, remote projects where you finish real work for a real company. The Wayfair AI Agent Engineering Externship and Beats by Dre Data Analytics Externship build the Python, ML pipeline, and product-thinking evidence a Pika application rewards. Explore all Externships.
What Is a Pika Internship?
A Pika internship is a research-focused placement at a 108-person AI video generation startup where interns work directly on the models that power one of the most-used text-to-video platforms in the world. Unlike internships at large tech companies, Pika places you on a small research team building production-scale video generation systems, with responsibilities spanning algorithm design, model training, and pipeline optimization. The company was founded in April 2023 when CEO Demi Guo, an IOI silver medalist and Harvard graduate, and CTO Chenlin Meng dropped out of Stanford's AI PhD program because existing video tools frustrated them. With $135 million raised at a $700 million valuation and only about 108 employees, every intern's work ships directly to millions of users. Interns earn $10,000 per month, eat catered meals in the Palo Alto office, and join weekly team events. The combination of startup speed, frontier research, and direct product impact makes Pika one of the highest-signal AI internships for anyone serious about generative video.
When Do Pika Internship Applications Open for 2027–2028?
Pika does not publish a fixed internship calendar, so the timeline below is projected from the previous cycle and startup hiring norms. The Summer 2025 Research Internship listing appeared on BuiltInSF and was removed in September 2025, suggesting applications opened several months before the summer start. A current Research Intern listing on the Ashby board has no fixed deadline and offers flexible terms, indicating continuous rolling intake. For the Summer 2027 cycle, expect postings between October and December 2026, with interviews running November through February and offers by March. The critical insight: with only one intern slot typically listed at a time and about 108 total employees, the window between a posting going live and the slot filling can be days, not weeks.
Summer 2027 intern postings are not yet live. This is the build window: deepen your video generation research, get hands-on with diffusion models and Transformers in PyTorch, and actively use Pika's product so you can speak to its output quality with genuine opinions.
Research intern postings expected on the Ashby board and pika.art/careers. Rolling intake means applying the day the posting appears is critical. Only one slot is typically listed at a time.
Interview window. Expect a recruiter screen (15 to 30 minutes), a technical phone screen with live coding (60 minutes), and a virtual onsite with 4 to 5 rounds covering DSA, system design for GPU inference, a craft deep-dive, and a behavioral round.
Offers extended. Application to offer typically takes 3 to 5 weeks end-to-end given Pika's small team and fast decision-making.
Approximately 12 weeks, full-time, on-site in Palo Alto. Work directly on Videogen models, multimodal generation, or agentic AI platforms. Catered meals and weekly team events included.
Why You Must Apply the Week Applications Open
Rolling intake at a 108-person company that lists one intern slot at a time means the posting can close within days of appearing. Pika does not batch applications into review cycles; positions fill the moment a strong candidate clears the loop. The previous Summer Research Internship listing was removed from BuiltInSF in September 2025, and the current Research Intern listing has no fixed deadline, both signals of a first-come, first-served model. So set alerts on jobs.ashbyhq.com/pika and pika.art/careers, and submit the day a relevant posting goes live. Having your resume, a project portfolio showing Videogen experience, and genuine product opinions about Pika's output quality ready before October 2026 is the difference between getting reviewed and finding a closed requisition.
Which Pika Internship Programs Should You Target?
Pika does not run a large multi-track internship program. Instead, research intern roles map to specific focus areas within the company's AI video generation pipeline. The current listing identifies three active research focus areas, and one additional track appeared in a prior summer cycle.
| Program | Focus | Duration | Key skills |
|---|---|---|---|
| Research Intern: Videogen (Mid-Training & Post-Training) | Large-scale mid-training, post-training, and optimization for Videogen models | Flexible (12 weeks typical) | Python, PyTorch, diffusion models, video generation, large-scale training optimization |
| Research Intern: Multimodal Generation | Multimodal generation research, applying new techniques to production-scale workflows | Flexible (12 weeks typical) | Python, PyTorch, Transformers, multimodal LLM inference, generative architectures |
| Research Intern: Agentic Platforms | Agentic AI systems for video generation workflows and automation | Flexible (12 weeks typical) | Python, agentic AI systems, video pipeline design, collaboration with senior researchers |
| Summer Research Internship: Generative AI Features (prior cycle) | Designing generative AI features, fine-tuning models, dataset creation, model evaluation | 12 weeks (summer) | Python, PyTorch, diffusion models, Transformers, visual AI technologies |
See current openings on jobs.ashbyhq.com/pika or pika.art/careers. Also check the Lightspeed portfolio board for alternate listings. Note that the Research Intern listing explicitly requires demonstrated Videogen experience, so this is not an entry-level role despite accepting BS candidates.
What Are the Eligibility Requirements?
Pika's intern requirements are unusually specific for a startup, reflecting the depth of the research work involved:
• Degree level: BS, MS, or PhD candidate. The listing does not require a PhD, but the requirement for demonstrated Videogen experience heavily skews toward graduate students or undergrads with significant research backgrounds.
• Technical stack: Proficiency in Python and ML toolkits (PyTorch, TensorFlow). Understanding of diffusion models, Transformers, or similar generative architectures.
• Domain experience: Demonstrated video generation experience is strongly preferred. This is the single most important differentiator.
• Nice-to-haves: Publications at top AI conferences (NeurIPS, CVPR, ICLR, ICML). Exposure to multimodal LLM inference. Experience with Stable Diffusion or equivalent open-source projects. Familiarity with GPU parallelism and large-scale training.
• Location: On-site in Palo Alto, CA. No remote option. Visa sponsorship not explicitly confirmed; verify during recruiter screen.
What Does 'Demonstrated Videogen Experience' Actually Mean?
The Research Intern listing calls for significant experience working on Videogen, which sets a high bar for what is nominally open to BS candidates. In practice, this means you need at least one of the following: a research project or publication involving video generation models (diffusion-based, autoregressive, or GAN-based), hands-on experience training or fine-tuning models like Stable Video Diffusion or similar open-source video generators, or meaningful contributions to a production video-AI pipeline. Simply using Pika's product or other AI video tools as an end user does not qualify. On r/csMajors, Pika is mentioned alongside Luma as the kind of startup where Stanford CS students with NeurIPS papers find traction, illustrating the caliber of the typical applicant pool.
What Skills Does Pika Look For, and How Do You Build Them?
Read across two Pika intern listings (one active, one expired) and cross-reference with the virtual onsite format, and the pattern is clear. Python and PyTorch appear in both, diffusion models and Transformers in both, and video generation expertise is the throughline. But the skill list only tells half the story: Pika's interview includes a system design round focused on GPU-backed inference infrastructure and video pipelines, not standard web scalability. You need to think in terms of video codecs, tensor parallelism, and temporal consistency, because the company ships a product where generation quality and speed are the business.
What Pika looks for in interns
Skills across 4 Pika intern & analyst job descriptions · 2025–26 Pika intern listings and interview format, projecting 2026–2027
Method: full-text analysis of two Pika intern listings (active Research Intern and expired Summer Research Internship) plus TechPrep interview round descriptions. Prior-cycle basis; Pika's emphasis on Videogen experience and product taste is evaluated in interview rounds rather than listed as formal JD qualifications.
How Is Demand for AI Video Generation Interns Moving Right Now?
AI video generation intern hiring right now: July 2026
Across US generative-AI and video-AI intern postings tracked this week · aggregate market data, all employers
AI video generation is a white-hot hiring category, but intern seats are vanishingly rare. The companies building frontier video models are small enough that every intern is a potential full-time hire, which keeps the bar extremely high.
Method: aggregate analysis of US ML-intern, SWE-intern, and generative-AI market data from Adzuna (July 2026 baseline) and Pika full-time salary data from Ashby job postings. Figures show direction and relative level, not total market share.
Build These Skills Before You Apply
And every skill in that chart maps to a remote Externship where you finish a real project before a role opens.
| Skill (from real JDs) | JD evidence | Externship that builds it |
|---|---|---|
| Python, PyTorch & ML model development | Both listings: "proficiency in Python and ML toolkits (PyTorch, TensorFlow)" and "diffusion models, Transformers" | Wayfair AI Agent Engineering |
| Data pipelines, optimization & experiment evaluation | Research listing: "high-throughput multimedia data pipelines" and "production-scale workflows" | Beats by Dre Data Analytics |
| Product thinking & system design | Interview process: "system design for GPU inference, product taste, product ownership" | Wayfair AI Agent Engineering |
How close is the overlap? The Wayfair project is agent-engineering work that yields the build-and-debug evidence Pika's technical and system-design rounds probe for, and the Beats project delivers the data-pipeline and metrics narrative a craft deep-dive wants.
What Is the Pika Application and Interview Process Like?
Based on TechPrep candidate reports (third-party, not official Pika documentation), the interview loop spans 3 to 5 weeks from application to offer:
1. Apply on jobs.ashbyhq.com/pika or pika.art/careers. Find the Research Intern listing and submit via the Ashby ATS. Also check the Lightspeed portfolio board for alternate listings.
2. Recruiter screen (15 to 30 minutes). Background review, interest in AI and video generation, and logistics including compensation expectations and location confirmation.
3. Technical phone screen (about 60 minutes). Live coding in a shared editor, Python-focused. Data structures and algorithms at medium-to-hard difficulty. Recent question types include text justification, subarray optimization, and video chunk processing.
4. Virtual onsite (4 to 5 rounds). Four core rounds: DSA (arrays, dynamic programming, sliding window), System Design (GPU-backed inference infrastructure, video generation pipeline, temporal consistency, video codecs), Craft Deep-Dive (walk through a technically complex project with trade-offs and architectural decisions), and Behavioral (startup grit, product ownership, ambiguity tolerance, and genuine opinions about Pika's product quality).
The two skills to drill are clear: Python DSA fluency for the coding rounds (medium-to-hard, especially arrays, dynamic programming, and sliding window patterns) and deep knowledge of AI inference systems for the system design round. This is not a standard web-scalability interview; expect questions about GPU parallelism (tensor, sequence, pipeline), video codecs (HEVC, AV1), and temporal consistency in generated video. And critically: the behavioral round evaluates product taste. Use Pika actively before the interview and come with specific, informed opinions about output quality, because the founders dropped out of a PhD to build a better video tool, and they hire people who care about the same thing.
What Students on Reddit Say
Three community threads provide indirect signals about Pika's competitive landscape and the caliber of candidates, all paraphrased.
Even Stanford CS students with NeurIPS papers and YC startup co-founding experience report difficulty landing internships, and Pika and Luma are mentioned as the type of smaller startup where those top candidates find traction, illustrating the caliber required.
Users testing paid plans of AI video tools report high demand wait times of over nine hours even on paid Pika plans, showing the product scale and infrastructure challenges interns would help address.
Product managers considering career moves between big tech and AI video startups list Pika among the companies that spark genuine curiosity, reflecting its growing reputation as a destination for ambitious builders.
How Do You Stand Out When There Is Only One Slot?
Three moves, all before the posting appears. First, build demonstrated Videogen experience: train or fine-tune a video generation model (Stable Video Diffusion, an open-source text-to-video model, or your own architecture), because the listing explicitly requires it and this single qualifier filters out most applicants. Second, use Pika's product extensively and form real opinions about output quality, temporal consistency, and generation artifacts, because the behavioral round evaluates product taste, and the founders are PhD-level researchers who built Pika because existing tools frustrated them. Third, prepare a craft deep-dive that shows you can own a technically complex project end-to-end with clear trade-offs and architectural decisions, because Pika's onsite includes a dedicated round for exactly this. And remember: Pika competes for the same talent as OpenAI Sora, Runway, and Google DeepMind, so your application needs to answer why Pika specifically, not just why generative AI.
What Other Companies Should You Consider?
Pika competes for the same generative-AI and video-ML talent as a handful of other companies. If you are building a research-internship list, these are the obvious neighbors:
- OpenAISora video generation and broader foundation model research at a much larger scaleGuide →
- Google DeepMindVideo and multimodal research with the resources and publication culture of GoogleGuide →
- MetaVideo generation research (Make-A-Video) and large-scale generative AI across FAIR and product teamsGuide →
- NVIDIAGPU infrastructure and generative AI research with hardware-level optimization advantagesGuide →
- AnthropicFoundation model research with a safety-first approach; strong ML research internship programGuide →
Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.
FAQ
Does Pika offer internships?
Yes. Pika lists a Research Intern position on its Ashby job board with three active focus areas: Videogen, Multimodal Generation, and Agentic Platforms. A prior Summer Research Internship also appeared on BuiltInSF. However, only about one intern slot is listed at a time, making these positions extremely competitive.
How much does a Pika internship pay?
The verified intern salary is $10,000 per month, based on a prior BuiltInSF summer listing. Interns also receive catered lunch and dinner in the office and weekly team events. Housing and transportation are not included. This figure may change for future cycles.
Do I need a PhD to intern at Pika?
Not necessarily. The listing accepts BS, MS, or PhD candidates. However, the requirement for demonstrated Videogen experience heavily skews toward graduate students or undergrads with significant research backgrounds. Publications at top AI conferences (NeurIPS, CVPR, ICLR) are a strong differentiator.
Is Pika's internship remote?
No. All positions at Pika are on-site at their Palo Alto, CA headquarters. No remote option is listed for any of the company's current roles.
What is the Pika interview process like?
Based on TechPrep candidate reports, the process takes 3 to 5 weeks and includes a recruiter screen (15 to 30 minutes), a technical phone screen with live Python coding (about 60 minutes), and a virtual onsite with 4 to 5 rounds covering DSA, system design for GPU inference and video pipelines, a craft deep-dive on a past project, and a behavioral round evaluating startup grit and product taste.
Does Pika sponsor visas for interns?
Visa sponsorship is not explicitly stated on Pika's listings. As a well-funded AI startup in Palo Alto, Pika likely supports OPT and CPT for F-1 students, but this has not been publicly confirmed. Applicants should ask during the recruiter screen.
How competitive is a Pika internship?
Extremely competitive. With about 108 employees and typically only one intern slot listed at a time, the acceptance rate is estimated below 5%. Pika competes for the same talent pool as OpenAI, Runway, and Google DeepMind. Successful candidates typically have top-school backgrounds, NeurIPS-level publications, or hands-on Videogen model training experience.
When do Pika internship applications open for summer 2027?
Postings are expected between October and December 2026, based on the prior cycle where the summer listing was removed in September 2025. Pika uses rolling intake with no fixed deadline. Set alerts on jobs.ashbyhq.com/pika and pika.art/careers and apply the day a relevant posting appears.
Pika typically lists one intern slot at a time, but that slot goes to someone who showed up with real Videogen experience and product opinions. Spend the runway building proof: a remote Externship turns an interest in AI video generation into a finished project you can point at when the Ashby posting goes live.
About the Author
Bifei Wang has spent 17 years focused on human flow and the growth of young professionals, spanning international education, career training and coaching, and recruitment process outsourcing. Over 7 years at Extern, he has had one-on-one sessions with thousands of students exploring careers in consulting, finance, tech, marketing, and data, giving him a firsthand view of how the job market has shifted for early-career professionals and what it actually takes to break in.
