Generative AI Applied Scientist

Location : Hybrid / Onsite

Team : AI / ML R&D

Type : Full-Time

We’re looking for a highly skilled, hands-on Data Scientist with 4–10 years of experience in applied AI / ML to join our fast-paced, research-driven team. This role demands deep expertise in transformer architectures along with strong fundamentals in model training, fine-tuning, and optimization.

You will work across text, audio, and video modalities , with the opportunity to specialize deeply in one area while maintaining the versatility to experiment across others. If you thrive in a startup-style, high-velocity R&D environment and enjoy taking ownership from architecture to deployment, this role is for you.

What You'll Do

Model Development & Fine-Tuning

• Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF / SFT, multimodal models).
• Prototype, benchmark, and push the limits of emerging generative AI techniques.

Domain-Specific Applications

Audio

Video

Text

Evaluation & Optimization

Cross-Modality Integration

Research & Experimentation

Ownership & Execution

What You'll Need

Experience

Core Fundamentals

Modality Expertise

Technical Skills

Evaluation Experience

Adaptability