Data Research Lead
2 weeks ago
Lead Data ResearcherWe are seeking a highly skilled and experienced Data Researcher to join our team. As a key member of our research department, you will be responsible for leading the development and fine-tuning of transformer-based architectures.Job Responsibilities:Model Development & Fine-Tuning: Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT, multimodal models).Domain-Specific Applications:Audio: Lip-sync, emotional delivery (shouting, whispering, crying), regional language support.Video: Scene/character consistency, quality benchmarks comparable to Veo3/Sora.Text: Extend LLMs to handle regional languages and domain-specific adaptation.Evaluation & Optimization: Design automated evaluation frameworks for objective quality scoring (images, video frames, audio clips). Balance trade-offs in speed, quality, and efficiency.Cross-Modality Integration: Experiment with audio-video synchronization, background score integration, and text-to-video alignment.Research & Experimentation: Stay ahead of rapidly evolving models and tools, testing architectural variations and scaling solutions for production use.Ownership & Execution: Drive initiatives independently with strong problem-solving, accountability, and first-principles thinking.Requirements:Experience: 4–10 years in applied Data Science/ML with a strong focus on generative AI.Core Fundamentals: Solid grasp of transformer architectures, LLMs, training dynamics, and optimization techniques.Modality Depth: Expertise in at least one modality (text, audio, or video), with demonstrable end-to-end project experience.Hands-On Skills: Strong coding and debugging ability in Python, with deep learning frameworks (PyTorch, TensorFlow).Deployment Knowledge: Experience with ML pipelines (FastAPI or similar) for inference and deployment.Evaluation Metrics: Proven ability to design/implement automated evaluation methods for generative outputs.Adaptability: Ability to experiment quickly with new tools, libraries, and models in a dynamic environment.Benefits:Competitive Salary: We offer a competitive salary based on experience and qualifications.Opportunities for Growth: Work with a talented team of researchers and engineers, and contribute to cutting-edge projects that drive innovation in the field.Flexible Work Environment: Enjoy a flexible work environment that allows you to balance your work and personal life.About Us:Our company is a leader in the field of data science and machine learning, with a proven track record of delivering innovative solutions to complex problems. We are committed to staying at the forefront of industry trends and best practices, and we invest heavily in the ongoing education and training of our employees.
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