Synthesia Internship 2027–2028: How to Get In Without a Formal Program
Last updated: July 2026
Synthesia does not run a formal internship program. The $4 billion AI video platform, whose avatars are used by over 90% of the Fortune 100, employs 900 people and focuses almost exclusively on experienced hires. There are no intern listings on their Ashby job board, no university recruiting pipeline, and no structured summer cohort as of July 2026. But internships have happened on an ad-hoc basis, and a 2025 Reddit thread confirms that cold-emailing about intern openings is a viable path in. The challenge is not surviving the interview. It is getting one.
Quick Facts
| Fact | Detail |
|---|---|
| Where to apply | jobs.ashbyhq.com/synthesia (Ashby ATS). No intern roles listed as of July 2026. Cold outreach to engineering managers or the People team is the primary pathway |
| Application window (2027–28) | No formal window. Begin networking in Q4 2026. Monitor the Ashby job board starting January 2027. Any intern openings are ad-hoc and filled on a rolling basis |
| Rolling? | Yes. No structured cycle exists. Positions are created based on team needs. Average time from application to offer is 26 days across all roles (Glassdoor, 280 interviews) |
| Eligibility | Pursuing BSc, MSc, or PhD in CS, ML, Computer Vision, or a related field. Strong Python and PyTorch or TensorFlow. PhD candidates or published researchers (NeurIPS, ICML, CVPR) have a significant advantage for ML tracks |
| Duration | Estimated 10 to 12 weeks, based on standard UK tech internship norms. No formal documentation confirms exact length |
| Compensation | No public intern salary data. Estimated GBP 2,500 to 4,000 per month for ML interns in London based on comparable AI startups at $2B to $5B valuation. Full-time SWE median: $193K total comp (Levels.fyi) |
| Visa sponsorship | Synthesia Limited is a registered UK visa sponsor. CEO states roughly 80% of London HQ staff are immigrants. UK Tier 5 visa may apply for interns. No confirmed US intern sponsorship |
| Locations | London, UK (HQ, primary engineering and ML hub). New York City and Austin, TX (commercial and sales). Remote options where offices are not maintained |
| # Programs | No formal program. 4 to 5 possible tracks inferred from company structure: ML/Research Engineering, Platform SWE, Product/Design, Customer Success, Sales/BizDev |
One number frames the challenge: zero. As of July 2026, Synthesia has zero intern-titled positions listed. The company fills its 900-person roster with experienced hires and creates intern openings only when a specific team identifies a project need. Cold outreach, academic connections to the founders' universities (Stanford, Cambridge, UCL, TUM), and employee referrals are the realistic pathways in.
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 ML engineering and data-analysis evidence a cold email to Synthesia needs to carry. Explore all Externships.
What Is a Synthesia Internship?
A Synthesia internship, when it exists, is an ad-hoc placement at the world's leading AI video generation platform. The company's technology creates photorealistic AI avatars that speak in over 140 languages, and its client list reads like a Fortune 100 directory: Amazon, Zoom, Microsoft, Heineken. Founded by researchers from Stanford, Cambridge, UCL, and the Technical University of Munich, Synthesia has raised approximately $536 million from Google Ventures, Accel, NEA, and Sequoia. There is no structured intern cohort, no rotation, and no guaranteed slot. Instead, teams occasionally create intern roles when a specific project warrants it, and the company's culture of shipping meaningful features every few days means interns are expected to contribute production-level work immediately. The trade-off for the lack of structure is direct access to a world-class ML engineering team working on generative video, avatar synthesis, and diffusion models at commercial scale.

When Do Synthesia Internship Applications Open for 2027–2028?
Synthesia does not run a structured internship recruiting cycle, so there are no confirmed deadlines or application windows. The timeline below is estimated from UK tech startup norms, the company's 26-day average hiring speed, and the absence of any formal intern program. Any intern openings are created ad-hoc based on team needs and filled on a rolling basis. The critical insight: cold outreach and networking are the primary pathways, not a job-board application. Begin building connections in Q4 2026 and monitor the Ashby board weekly starting January 2027.
No intern postings are live. This is the build window: develop ML and generative-AI projects, study Synthesia's technology stack (avatar synthesis, diffusion models, video generation), and identify target teams and hiring managers for cold outreach in Q4.
Begin cold outreach to engineering managers or the People team. Reference specific Synthesia technology in your email. Leverage academic connections to Stanford, Cambridge, UCL, or TUM. Employee referrals account for 16% of interviews (Glassdoor).
Monitor the Ashby job board (jobs.ashbyhq.com/synthesia) weekly. Apply immediately when any junior or intern-titled role appears. Also check synthesia.io/careers and set Glassdoor alerts.
Estimated interview period. Expect a recruiter screen, hiring manager screen, technical round (timed take-home of approximately 8 hours for ML roles, no LeetCode), and a team/culture fit interview. Average 26 days from application to offer.
Estimated internship period. 10 to 12 weeks based on standard UK tech internship length. Expect immediate ownership of production-level features.
Why You Must Apply the Week Applications Open
Synthesia does not run a structured intern cycle, which means there is no deadline to beat. But the absence of structure is itself the challenge. Any intern openings are created when a specific team identifies a project need, filled through the Ashby ATS, and closed as soon as the right candidate appears. Glassdoor data shows 49% of interviews come from online applications, 27% from recruiters, and 16% from employee referrals. The move is to start cold outreach in Q4 2026, target engineering managers or the People team with a personalized email referencing specific Synthesia technology, and monitor the Ashby board weekly starting January 2027. When a relevant posting appears, apply within 24 hours. The 26-day average from application to offer means the window is narrow.
Which Synthesia Internship Programs Should You Target?
Synthesia does not have named internship tracks. The following are possible placements based on the company's active teams, hiring patterns, and core product areas. Any intern role would be created ad-hoc to fill a specific team need, so the actual track depends on what is available when you apply or what your cold outreach convinces a team to create.
| Program | Focus | Duration | Key skills |
|---|---|---|---|
| ML / Research Engineering Intern | Deep learning for AI video generation, avatar synthesis, generative models (GANs, diffusion), and video processing pipelines | ~12 weeks | Python, PyTorch/TensorFlow, computer vision, GANs, diffusion models, transformers |
| Software Engineering Intern (Platform) | Building and scaling the Synthesia platform, API development, frontend and backend systems | ~12 weeks | Full-stack development, cloud platforms (AWS/GCP), Docker, Kubernetes, system design |
| Product / Design Intern | UX/UI design for video creation tools, user research, product iteration, and prototyping | ~12 weeks | UX research, prototyping, design tools (Figma), user testing, design thinking |
| Customer Success / Solutions Intern | Enterprise customer onboarding, solution architecture, and technical support for Fortune 100 clients | ~12 weeks | Communication, technical product knowledge, data analysis, CRM tools |
| Sales / Business Development Intern | SDR activities, enterprise prospecting, market research, and pipeline development | ~12 weeks | Sales tools, market research, communication, data analysis |
Monitor the Synthesia Ashby job board for any junior or intern-titled openings. The company's rapid growth to 900+ employees suggests new teams and roles are being created regularly. Also check the careers page for new team announcements.
What Are the Eligibility Requirements?
Since Synthesia does not run a formal intern program, there are no published eligibility requirements. The following is inferred from the company's hiring patterns, interview data, and team composition:
• Degree level: pursuing a BSc, MSc, or PhD in Computer Science, Machine Learning, Computer Vision, or a related field. PhD candidates and those with published research at NeurIPS, ICML, CVPR, or ICCV have a significant advantage for ML tracks.
• Technical baseline: strong Python skills and familiarity with PyTorch or TensorFlow. Understanding of deep learning fundamentals including CNNs, GANs, diffusion models, and transformers.
• Work authorization: Synthesia Limited is a registered UK visa sponsor. The CEO has stated roughly 80% of London HQ staff are immigrants. UK Tier 5 (Government Authorised Exchange) visa may apply for interns. No confirmed data on US intern visa sponsorship.
• Culture fit: the company emphasizes ownership and speed, describing its engineering culture as one where people deliver meaningful features every few days. Demonstrated builder mentality and open-source ML contributions are valued.
• Non-technical tracks: Customer Success and Sales roles in New York and Austin may be accessible to business, communications, or analytics students without deep ML backgrounds.

Can I Get a Synthesia Internship Without Published Research?
For ML and research engineering tracks, published papers are a significant advantage given that the founders are researchers from Stanford, Cambridge, UCL, and TUM. However, the company's 73% positive interview rating and emphasis on practical problem-solving suggest that strong portfolio projects, open-source contributions, and demonstrated ability to ship working ML systems can compensate. For non-engineering tracks (Customer Success, Sales, Design), the bar is lower and more focused on communication, product knowledge, and relevant experience. The real barrier is not the qualification threshold but the absence of a formal program, which means you must convince a team that creating an intern role for you is worth their time.
What Skills Does Synthesia Look For, and How Do You Build Them?
Read across Synthesia's Glassdoor interview reports and active engineering job descriptions, and the pattern tracks the product. Python and deep learning frameworks appear in every technical role. Computer vision and video generation are core to the company's avatar technology. And the interview process for ML roles emphasizes practical problem-solving over algorithmic puzzles, with a timed take-home assignment replacing LeetCode-style coding. But the skill that separates candidates at Synthesia is cross-functional ownership. With 900 employees serving 90% of the Fortune 100, the engineering culture demands people who ship quickly and communicate clearly across teams.
What Synthesia looks for in interns
Skills across 6 Synthesia intern & analyst job descriptions · 2025–26 Glassdoor interview reports and active Synthesia engineering JDs, projecting 2026–2027
Method: full-text analysis of Glassdoor interview reports (280 reviews, 73% positive) and active Synthesia engineering job descriptions. Prior-cycle basis; the company does not publish intern-specific JDs, so skills are inferred from junior and mid-level engineering roles.
How Is Demand for ML and Generative-AI Interns Moving Right Now?
ML and generative-AI intern hiring right now: July 2026
Across US machine-learning-intern and software-engineer-intern postings tracked this week · aggregate market data, all employers
July 2026 is this tracker's baseline month, so month-over-month shifts show up at the August update. Generative-AI video is a growth niche within ML hiring, driven by companies like Synthesia, Runway, and Pika scaling production teams.
Method: aggregate analysis of US software-engineer-intern and machine-learning-intern postings via Adzuna, July 2026 baseline. The sample indexes a fraction of all US postings, so 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 cold email lands.
| Skill (from real JDs) | JD evidence | Externship that builds it |
|---|---|---|
| ML engineering, deep learning & generative models | ML Engineer interviews: "timed take-home on ML fundamentals, system design, practical problem-solving" | Wayfair AI Agent Engineering |
| Data analysis, metrics & model evaluation | Engineering culture: "deliver meaningful features every few days" with measurable outcomes | Beats by Dre Data Analytics |
| Cross-functional communication & system design | Interview question: "Describe how you align in cross-functional work" and behavioral rounds on ownership | Wayfair AI Agent Engineering |
How close is the overlap? The Wayfair project involves agent-engineering work that exercises the same build-ship-evaluate cycle Synthesia's take-home assignment tests, and the Beats project produces the data-analysis deliverable a cold email to an engineering manager needs to carry.
What Is the Synthesia Application and Interview Process Like?
Since Synthesia does not run a formal internship program, the application process has two phases: getting noticed and then clearing the standard interview loop. The interview itself averages 26 days and is rated 73% positive on Glassdoor:
1. Research and cold outreach. Study Synthesia's product, technology, and recent developments. Craft a personalized cold email to engineering managers or the People team referencing specific Synthesia technology that interests you. Attach a brief portfolio or link to relevant projects and publications. A Reddit thread from 2025 confirms cold emails about intern openings are a viable path.
2. Monitor and apply. Check jobs.ashbyhq.com/synthesia weekly starting January 2027. Apply immediately when any junior or intern-titled role appears. Also check synthesia.io/careers. Seek employee referrals where possible; 16% of Glassdoor interviews come through referrals.
3. Recruiter and hiring manager screens. A phone screen covering logistics, background, and role fit, followed by a one-on-one with the hiring manager focused on technical background, motivation, and team fit. Expect behavioral questions: 'What drives you?' and 'Describe how you align in cross-functional work.'
4. Technical round. For ML roles, a timed take-home assignment of approximately 8 hours focused on ML fundamentals, practical problem-solving, and system design. No LeetCode-style coding has been reported. Non-engineering roles may have a conversational technical discussion or presentation instead.
5. Team and culture fit, then offer. A final round with a panel or one-on-one interview covering values, cross-functional alignment, and personal motivation. Offers arrive within approximately 26 days of the initial application.
Two skills to drill are clear: practical ML fluency for the take-home (be ready for an 8-hour deep-dive into a real-world ML problem, not toy puzzles) and a compelling cold-outreach narrative (why does your work connect to Synthesia's avatar and video-generation technology?). The 73% positive interview rating suggests a well-organized process once you are in it. The challenge is getting to the front door.
What Students on Reddit Say
Four community threads provide context on working at and applying to Synthesia, all paraphrased.
A user mentioned cold-emailing Synthesia about intern openings, indicating that direct outreach to companies without formal internship programs is a recognized strategy in the YC and startup community.
Someone who received an offer from Synthesia before the company scaled reported being offered 20% less than their ask during the interview, with an equity bump used to bridge the gap, confirming the company is legitimate and fast-growing but negotiates aggressively on base salary.
Synthesia was mentioned in a discussion of top UK employers from a pay, culture, and growth perspective, with commenters grouping it alongside other high-growth London tech companies known for competitive compensation and strong engineering teams.
How Do You Stand Out When There Is No Application?
Three moves, all before a posting exists. First, write a cold email that earns a response: reference specific Synthesia technology (avatar synthesis, diffusion-model video generation, the 140-language pipeline), attach a portfolio of relevant ML work, and explain concretely what you could build during a 12-week placement. A generic 'I am interested in AI' message will not survive the inbox of an engineering manager at a 900-person company. Second, leverage academic networks. The founders come from Stanford, Cambridge, UCL, and TUM, and university career services or professor connections at these institutions can open doors that cold email cannot. Third, bring finished artifacts. Synthesia's culture is about shipping features fast, so a completed Externship, an open-source contribution, or a published paper on generative video or computer vision gives you evidence of output speed, not just interest. The company's 16% referral rate on Glassdoor means that if you can connect with a current employee who vouches for your work, you skip the hardest part of the process entirely.

What Other Companies Should You Consider?
Synthesia is not the only generative-AI company worth targeting. If you are building an AI internship list, these are the obvious neighbors:
- OpenAIFoundation model leader with generative video (Sora) and research internships that overlap in diffusion and transformer expertiseGuide →
- Google DeepMindWorld-class AI research lab with structured intern programs and deep computer-vision teamsGuide →
- NVIDIAGPU platform powering generative-AI training, with the largest intern program in the hardware-AI spaceGuide →
- AnthropicAI safety research lab with structured internships and a strong new-grad pipelineGuide →
- MetaFAIR research group with large intern cohorts working on generative video, avatars, and embodied AIGuide →
Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.

FAQ
Does Synthesia have a formal internship program?
No. As of July 2026, Synthesia does not run a structured summer internship program or university recruiting pipeline. There are no intern-titled positions on their Ashby job board, Glassdoor listings, or careers page. The company focuses on experienced hires at mid-to-senior levels. However, internships have been created on an ad-hoc basis, and a Reddit thread from 2025 confirms cold-emailing about intern openings is a viable path.
How do I get an internship at Synthesia without a formal program?
Cold outreach is the primary pathway. Craft a personalized email to engineering managers or the People team referencing specific Synthesia technology. Leverage academic connections to the founders' universities (Stanford, Cambridge, UCL, TUM). Use LinkedIn to connect with team leads. Monitor the Ashby job board (jobs.ashbyhq.com/synthesia) for any junior or intern roles. Employee referrals account for 16% of interviews on Glassdoor.
Does Synthesia sponsor visas for interns?
Synthesia Limited is a registered UK visa sponsor, confirmed as of July 2026. The CEO has stated roughly 80% of London HQ staff are immigrants. UK Tier 5 (Government Authorised Exchange) visa may apply for interns. However, visa sponsorship has not been explicitly confirmed for intern-level roles, and no data exists for US intern visa sponsorship.
What is the interview like at Synthesia?
The process averages 26 days and is rated 2.98 out of 5.0 difficulty (average) with 73% of candidates reporting a positive experience. For ML roles, expect a timed take-home assignment of approximately 8 hours focused on ML fundamentals and system design, with no LeetCode-style coding. The typical flow is recruiter screen, hiring manager screen, technical round, team and culture fit, and offer.
What compensation can a Synthesia intern expect?
No public intern salary data exists for Synthesia. Based on comparable London AI startups at similar valuation ($2 billion to $5 billion), an ML intern could expect approximately GBP 2,500 to 4,000 per month. Full-time Software Engineers earn a median of $193,000 total compensation (Levels.fyi), suggesting competitive intern pay if a position is created.
Is a Synthesia internship remote or in-person?
Engineering and ML roles are most likely based at the London headquarters (20 Triton Street, Regent's Place). Commercial roles may be based in New York City or Austin, TX. Some remote options exist where offices are not maintained. The London office is the primary hub for the ML team, so an ML internship would most likely require London presence.
What skills do I need for a Synthesia ML internship?
Strong Python and PyTorch or TensorFlow are baseline requirements. Understanding of deep learning fundamentals including CNNs, GANs, diffusion models, and transformers is essential. Experience with computer vision, video generation, or NLP is highly valued. The take-home assignment tests practical ML problem-solving and system design rather than algorithmic puzzles.
What are the best alternatives if Synthesia is not hiring interns?
Comparable generative-AI companies include Runway, Pika, HeyGen, and D-ID for video-AI specifically. Broader AI labs such as OpenAI, Google DeepMind, Anthropic, and Meta FAIR also hire ML interns with overlapping skill sets. If you want to build portfolio evidence before any application opens, a remote Externship provides finished project work on a shorter timeline.
Synthesia has no formal intern program, but every ad-hoc slot is won by someone who made the case before a posting existed. Spend the runway building proof: a remote Externship turns 'interested in generative AI' into a finished project you can attach to a cold email that earns a reply.
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.



