Research Engineer
ML/AI Research Engineer with 3-8 years of experience in generative AI, diffusion models, and production machine learning systems.
ML/AI Research Engineer with 3-8 years of experience in generative AI, diffusion models, and production machine learning systems.
About this role
Research Engineer
About Dashverse
Dashverse is building the next-gen platform for AI-native visual storytelling. Three platforms — Dashtoon (comics), Dashreels (vertical drama), and Studio (creator tools) — let creators around the world make and monetise high-quality content at scale. 100K+ MAUs, creators in 20+ countries, backed by world-class investors. Founders have built at Udaan, PocketFM, and more.
The Role
This is a research seat, not a forward-deployed engineering one. You'll work close to the frontier of generative AI — diffusion models, character consistency, video generation, multimodal systems — and ship real models to real users.
We're building proprietary models for proprietary problems. Not chasing open-source releases — staying just behind frontier labs, reading their research, prototyping quickly, productionising what works.
Must Haves
- 3-8 years of ML / research engineering experience
- Strong fundamentals: PyTorch, model training, optimisation, evaluation
- Track record of building or training real models — not just API integration
- Comfort reading recent papers and reproducing them
- Production sensibility — you can take a model from notebook to scaled inference
Nice to Have
- Publications at top venues (CVPR, NeurIPS, ICML, WACV, ICLR, ACL, EMNLP, etc.)
- Patents or notable open-source contributions
- Diffusion model experience (image, video, or audio)
- Multimodal / vision-language model experience
- GPU optimisation, inference engineering, or training infrastructure
- Experience with character consistency, video generation, or AI content pipelines
- Background in computer vision, NLP, or speech
What You'll Work On
- Push the frontier on visual storytelling models — character consistency, scene composition, video generation
- Read frontier research, prototype quickly, productionise what works
- Own the full model lifecycle: data, architecture, training loop, evaluation, deployment
- Collaborate with product and engineering on what to build next
- Help shape the research agenda for visual storytelling
What We Offer
- Real research environment with serious compute (H100/H200)
- Frontier-adjacent work, building proprietary models for proprietary problems
- Well-funded, growing fast — no near-term existential pressure
- Bangalore office (remote considered for exceptional candidates)
- 50-80 LPA based on experience and depth