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Ai Reimagination Engineer in India

4,057 active opportunities · Updated October 2026

Explore current ai reimagination engineer jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

S
📍 India· Full-time
✓ Quality checkedCompany trend -100%

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Most people think AI is coming for their job. We think it's coming for the boring parts of it. We’re not looking for a social media manager. We’re looking for a Culture Editor — someone who’s plugged into the conversation at a level that goes beyond posting. Someone who understands that the debate happening right now around AI and human creativity is one of the most consequential of our time, and who wants to be an active voice in shaping it. Less Gordon Ramsay, more Anthony Bourdain. You'd own how Synthesia shows up across LinkedIn, X, Instagram, TikTok, and YouTube. Not just posting. Thinking. Helping figure out what a leading AI company should sound like in culture, and then making it happen. You'll work within brand foundations built by people who've shaped some of the most iconic companies in the world. But social is its own language and we know that. You'll have a real say in how the voice evolves. The team You'll report into the Head of Social Media and work alongside a team of six, including videographers, editors, and creators who produce exceptional content in-house across every format and channel. This team can make anything. What they need from you is someone who knows how to make it t

S
📍 India· Full-time
✓ Quality checkedCompany trend -100%

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Most people think AI is coming for their job. We think it's coming for the boring parts of it. We’re not looking for a social media manager. We’re looking for a Culture Editor — someone who’s plugged into the conversation at a level that goes beyond posting. Someone who understands that the debate happening right now around AI and human creativity is one of the most consequential of our time, and who wants to be an active voice in shaping it. Less Gordon Ramsay, more Anthony Bourdain. You'd own how Synthesia shows up across LinkedIn, X, Instagram, TikTok, and YouTube. Not just posting. Thinking. Helping figure out what a leading AI company should sound like in culture, and then making it happen. You'll work within brand foundations built by people who've shaped some of the most iconic companies in the world. But social is its own language and we know that. You'll have a real say in how the voice evolves. The team You'll report into the Head of Social Media and work alongside a team of six, including videographers, editors, and creators who produce exceptional content in-house across every format and channel. This team can make anything. What they need from you is someone who knows how to make it t

S
📍 India· Full-time
✓ Quality checkedCompany trend -100%

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. What you'll do at Synthesia As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting-edge challenges in the Generative AI space, with a focus on creating high-quality, expressive and real-time synthetic voices. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses. If you are an expert in ML, LLMs, speech generation, conversational models , this is your chance to make a global impact. You will join our Audio Post-Training Team , which works on generative speech and voice synthesis , ensuring our in-house voice models reach production-level quality, speed, and robustness. Typical projects include: Develop and evaluate streaming and speech-to-speech systems, enabling low-latency, interactive voice synthesis. Adapt models for new conditioning inputs (emotion, speed, prosody, speaker control, etc.). Implement post-training optimization techniques (quantization, pruning, distillation) to improve efficiency and latency in real-time speech generation. Integrate and test novel architectures, such as neural codecs, diffusion, or

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