Research Scientist, Multimodal AI

Join a Research Team in SOTA Multimodal AI

Are you ready to shape the future of generative AI? We’re looking for a passionate Researcher / Scientist to join a team pushing the limits of foundational multimodal models.

You’re an expert in complex AI systems with a track record of impactful research publications in at least one of these areas :

• Vision Generation : Video, image, 3D, or large vision models (LVMs)
• Generation : Audio, speech / TTS, or music
• Text Generation : Natural language generation (NLG) or large language models (LLMs)

Your expertise lies in generative models—researching, building, and training them from the ground up. You thrive on solving tough challenges, whether it’s training and fine-tuning Diffusion models, optimizing performance of LVMs, or inventing new techniques to push latency / inference to the next level. Naturally, you’re a Python pro and fluent in deep learning frameworks like PyTorch or TensorFlow.

What You’ll Do

You’ll join a team of innovators tackling groundbreaking research that’s redefining multimodal AI. Your work won’t just sit in a lab—it’ll ship to millions of users, powering a product that’s accelerating the field. This is your chance to see your ideas come to life at scale.

Who You’ll Work With

You’ll collaborate with a seasoned crew, including alumni from DeepMind, OpenAI, NVIDIA, and Meta. Backed by top-tier VCs and fueled by fast-growing revenue, this team has the resources and ambition to make waves—and they’re just getting started.

What You’ll Get

Salary : $220k–$350k base, plus a generous equity package.

Benefits : Comprehensive healthcare (health, dental, vision), unlimited PTO, and more.

Location : San Francisco preferred; remote possible for standout candidates (those at top tier AI labs or industry leading published authors).

If you’re ready to leave your mark on the future of AI, apply now or reach out to Marc Powell at techire.ai for immediate consideration.

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Salary : $220,000 - $350,000