How to Apply to Pika

7 min read Last updated March 8, 2026 2 open positions
Blake Crosley
Blake Crosley Researched using publicly available information, hiring data, and ATS analysis.

Key Takeaways

  • Pika is a research-first AI video generation startup with ~50 employees and significant funding ($135M+)
  • The company uses Ashby for recruiting — submit clean PDF resumes with standard formatting
  • Generative AI research experience (diffusion models, video synthesis, computer vision) is the top differentiator
  • With only 2+ open positions, every hire has outsized impact — tailor your application specifically to Pika
  • Interviews are technically rigorous with emphasis on practical skills and collaborative problem-solving
  • Founder conversations assess vision alignment and genuine passion for AI video generation

About Pika

Pika is an AI video generation startup that enables users to create and edit videos using artificial intelligence. Founded by Demi Guo and Chenlin Meng, both Stanford PhD researchers in computer science and AI, Pika has rapidly emerged as one of the most exciting companies in the generative AI space. The platform allows users to generate videos from text prompts, transform images into video, and edit existing video content using natural language — capabilities that were science fiction just a few years ago. With over $135 million in funding and a valuation of approximately $530 million, Pika has attracted investment from top-tier venture capital firms recognizing the enormous potential of AI-native video creation tools. The company is headquartered in San Francisco, keeping a deliberately small team of approximately 50 employees. This lean structure means every team member has outsized impact on the product and company trajectory. Pika's technology builds on cutting-edge research in diffusion models, video synthesis, and multimodal AI. The founding team's academic background — including publications at top AI conferences like NeurIPS, ICML, and CVPR — gives Pika a research-first culture where pushing the boundaries of what is technically possible is a daily pursuit. The company's models generate increasingly photorealistic video content with fine-grained control over motion, style, and composition. The product has gained significant consumer traction, with millions of videos generated on the platform. Pika targets both individual creators and professional content teams who need high-quality video content without traditional production overhead. The company's competitive landscape includes other AI video startups like Runway and Sora, making speed of innovation and model quality critical differentiators. Pika's culture is defined by its small team size, research intensity, and startup velocity. With approximately 50 people building a product used by millions, the company operates with minimal bureaucracy and maximum individual ownership. Every engineer, researcher, and designer works directly on problems that affect the core product. The environment is best suited for people who thrive with autonomy, can context-switch between research and production concerns, and want their work to have immediate, visible impact.

Application Process

  1. 1
    Review Open Positions on Pika's Career Page

    Visit pika.art/careers to view current openings. With approximately 2+ open positions and a team of roughly 50 people, each hire at Pika significantly shapes the company's direction. Roles typically span frontend engineering, backend engineering, research science, product design, and infrastructure. Read each listing carefully — Pika's job descriptions tend to be specific about the technical challenges the role will address and the qualifications that matter most.

  2. 2
    Submit Your Application via Ashby

    Pika uses Ashby as its applicant tracking system. Click 'Apply' on your target role to access the Ashby-powered application form. Upload your resume as a PDF, provide your contact information, and answer any role-specific questions. Given Pika's small team size, every application receives careful attention. Make your submission count — a clean resume paired with thoughtful responses to application questions creates a strong first impression.

  3. 3
    Initial Screen with Recruiter or Hiring Manager

    At a company of Pika's size, the initial conversation may be with a recruiter or directly with the hiring manager. This 30-to-45-minute call covers your background, technical interests, and why Pika appeals to you. Be prepared to discuss your familiarity with generative AI, video synthesis, or related technical areas. The conversation also covers logistics — compensation expectations, start date, and location requirements. Demonstrate genuine enthusiasm for AI video generation and an understanding of the technical challenges involved.

  4. 4
    Technical Deep-Dive

    Engineering and research candidates go through a rigorous technical evaluation. This may include a live coding session, system design discussion, or research presentation depending on the role. For research scientists, you may be asked to present your published work and discuss how it relates to video generation challenges. For engineers, expect problems related to ML infrastructure, video processing pipelines, or distributed training systems. Pika evaluates raw technical ability, creativity in problem-solving, and the ability to move quickly from idea to implementation.

  5. 5
    Team Collaboration Sessions

    Given Pika's small team, cultural fit and collaboration ability are critically important. You will meet with several team members in sessions designed to assess how you work with others, communicate ideas, and approach problems collaboratively. These are genuine working sessions — you might discuss a real technical challenge the team is facing, review a design proposal, or brainstorm approaches to a product problem. Pika wants to see how you contribute to a team's thinking, not just how you perform solo.

  6. 6
    Founder or Leadership Conversation

    For most roles at Pika, you will have a conversation with one or both founders (Demi Guo and Chenlin Meng) or a member of the leadership team. This is not a technical grilling but rather a discussion about your vision, motivation, and alignment with Pika's mission. The founders are deeply technical and will engage substantively on your area of expertise. Come prepared to discuss where you think AI video generation is heading and how you want to contribute to that future.

  7. 7
    Offer and Rapid Onboarding

    Successful candidates receive an offer including competitive base salary, significant equity (reflecting early-stage startup opportunity), and benefits. Given Pika's lean team, onboarding is fast and hands-on. New hires typically start contributing to production code or research within the first week. You will be working directly alongside the founders and senior team members from day one.

Resume Tips for Pika

critical

Showcase Generative AI or Computer Vision Research

Pika is a research-driven company building state-of-the-art video generation models. If you have published papers at top AI conferences (NeurIPS, ICML, CVPR, ICLR, SIGGRAPH), list them prominently. Mention specific research areas: diffusion models, video synthesis, image generation, 3D rendering, or multimodal learning. Include citation counts or notable results: 'Published 3 papers on video diffusion models at CVPR with 500+ combined citations.' Even without publications, relevant research experience in generative AI or computer vision is a strong signal.

critical

Highlight Full-Stack or ML Infrastructure Engineering

Pika's small team means engineers wear multiple hats. Experience building end-to-end ML systems — from model training to inference serving to frontend integration — is highly valued. Mention specific infrastructure: 'Built distributed training pipeline on 256 A100 GPUs reducing training time by 40%' or 'Designed inference service handling 10,000 video generation requests per hour with sub-5-second latency.' Pika needs engineers who can build the entire stack, not just one layer.

critical

Demonstrate Startup Speed and Ownership

With approximately 50 employees, Pika has no room for specialists who only work within narrow boundaries. Show evidence of moving fast, shipping products, and taking ownership of outcomes: 'Sole engineer on real-time video editing feature shipped in 3 weeks, reaching 100K users in first month.' Highlight situations where you identified a problem, proposed a solution, and executed independently. Pika's culture rewards self-starters who bias toward action.

critical

Use Clean, Ashby-Compatible Formatting

Submit your resume as a clean PDF with standard section headers. Ashby parses well-structured resumes reliably. Avoid tables, multi-column layouts, text boxes, or embedded images. For a research-focused AI company, your publications, technical projects, and quantified achievements matter more than visual resume design.

recommended

Include Links to Projects, Papers, or Demos

Pika values tangible evidence of technical ability. Include links to your GitHub profile, published papers (arXiv or conference proceedings), personal projects, or demo videos. If you have built anything related to image or video generation — even side projects or course work — link to it. Seeing your actual work is more compelling than reading about it in bullet points.

recommended

Emphasize Video or Rich Media Experience

If you have worked on video processing, streaming, encoding, computer graphics, or creative tools, highlight this experience. Mention specific technologies: FFmpeg, WebRTC, WebGL, CUDA, video codecs, or rendering engines. Pika's product is fundamentally about video, so any domain knowledge in video technology provides useful context for the role.

recommended

Show Consumer Product Sensibility

Pika builds for consumers and creators, not just enterprises. If you have experience building consumer-facing products with high user engagement, mention it. Include metrics like MAU, retention rates, or user satisfaction scores. Understanding how people use creative tools and what makes a delightful user experience is valuable across all roles at Pika.

ATS System: Ashby

Pika uses Ashby as its applicant tracking system. Ashby is a modern recruiting platform widely adopted by AI startups and high-growth technology companies. It provides structured interview workflows, automated scheduling, and candidate evaluation tools. Ashby's resume parser handles standard document formats well, making clean formatting essential for accurate information extraction.

  • Submit your resume as a PDF for reliable parsing by Ashby's system
  • Use standard section headers (Experience, Education, Publications, Skills, Projects)
  • Avoid tables, multi-column layouts, and embedded graphics
  • For research roles, include a dedicated Publications section with conference names and years
  • Answer application questions thoughtfully — at Pika's size, every response is read carefully

Complete Ashby Resume Guide →

Interview Culture

Pika's interview culture reflects its identity as a small, research-driven startup where every hire has outsized impact.

Interviews are technically rigorous, fast-paced, and designed to assess whether you can contribute from day one in a high-autonomy environment. For research and engineering roles, the technical bar is exceptionally high. Pika's founding team includes Stanford PhD researchers who published at the top AI venues, and they evaluate candidates against that standard. Expect questions that test your understanding of generative models, video synthesis, and the specific technical challenges of building production AI systems. If you have published research, be prepared to defend your methodology, discuss limitations, and explain how your work could apply to video generation. Coding interviews at Pika focus on practical engineering ability. You might implement a component of an ML pipeline, optimize a video processing algorithm, or design a system architecture. The emphasis is on writing clean, production-quality code and reasoning clearly about trade-offs — not on memorizing obscure algorithms. What distinguishes Pika's interview process from larger companies is the emphasis on collaborative problem-solving. In team sessions, interviewers are genuinely interested in how you think through problems, not just whether you arrive at the right answer. They want to see how you would function as a collaborator in a small team where everyone's contributions are visible and consequential. The founder conversations are intellectually stimulating rather than evaluative in a traditional sense. Demi and Chenlin are deeply technical and curious — they want to understand your research interests, your perspective on the future of generative AI, and what problems excite you most. Authenticity matters here — they can detect rehearsed responses. The overall process moves quickly by industry standards. Pika respects candidates' time and typically completes the full interview loop within one to two weeks. The company makes offers fast and communicates decisions clearly.

What Pika Looks For

  • Exceptional technical ability in generative AI, computer vision, or full-stack ML systems engineering
  • Research depth with publications or significant technical projects in relevant AI domains
  • Startup velocity — demonstrated ability to ship products quickly with high quality in resource-constrained environments
  • Ownership mentality and comfort operating independently with minimal direction
  • Creative problem-solving that bridges research innovation with production engineering
  • Passion for video creation, creative tools, and the potential of AI to democratize content production
  • Collaborative spirit and ability to contribute effectively in a small, high-performing team

Frequently Asked Questions

What ATS does Pika use for job applications?
Pika uses Ashby as its applicant tracking system. All applications submitted through pika.art/careers are processed through Ashby. Submit a clean PDF resume with standard section headers and avoid complex formatting for optimal parsing.
What is Pika's interview process like?
Pika's interview process includes an initial screen, technical deep-dive (coding or research presentation), team collaboration sessions, and a founder conversation. The process is technically rigorous but moves quickly — typically completing within one to two weeks. The small team size means every interviewer's assessment carries significant weight.
What technical skills does Pika look for in engineering candidates?
Pika values expertise in generative AI (diffusion models, video synthesis, GANs), ML infrastructure (distributed training, inference serving), and full-stack engineering (Python, PyTorch, CUDA, frontend frameworks). Research publications at top AI conferences (NeurIPS, CVPR, ICML) are a strong differentiator. Experience with video processing, computer graphics, or creative tools is also valuable.
How should I prepare my resume for Pika?
Lead with generative AI research or ML engineering experience. Include publications with conference names and citation counts. Quantify engineering achievements with specific metrics (latency, throughput, user impact). Use clean Ashby-compatible formatting. Include links to GitHub, papers, or project demos.
Does Pika offer remote work?
Pika is primarily based in San Francisco. Given the company's small size and collaborative culture, most roles involve significant in-person work. Check individual job listings on pika.art/careers for specific location requirements, as some positions may offer flexibility.
What is Pika's company culture like?
Pika has a research-first, startup-speed culture with approximately 50 employees. The company was founded by Stanford PhD researchers and maintains high technical standards while moving fast. Every team member has direct impact on the product. The environment rewards autonomy, creative problem-solving, and a bias toward shipping.
Who founded Pika?
Pika was founded by Demi Guo and Chenlin Meng, both Stanford PhD researchers in computer science and artificial intelligence. Their academic background in generative models and computer vision forms the technical foundation of Pika's AI video generation platform.
What compensation does Pika offer?
Pika offers competitive base salaries, significant equity (stock options reflecting the company's early-stage opportunity at a $530M valuation), and benefits. The equity component is particularly notable — as an early-stage company with strong funding and growth trajectory, the upside potential of Pika's equity is a meaningful part of the total compensation package.
How competitive is it to get hired at Pika?
Pika is extremely selective. With approximately 50 employees and roughly 2+ open positions, the company maintains an exceptionally high hiring bar, particularly for research and engineering roles. Candidates with published research in generative AI, production experience building ML systems, or demonstrated ability to ship consumer AI products have the strongest profiles.

Open Positions

Pika currently has 2 open positions.

Check Your Resume Before Applying → View 2 open positions at Pika

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Sources

  1. Pika Careers — Pika
  2. Pika Product — Pika
  3. Pika Blog — Pika