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LeadFull-timePythonAWSMachine LearningData ScienceAgileAIMLData
Salary Range
$121,125 - $163,875 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Data Scientist with expertise in the GenAI stack (audio & video generation models) to join our AI native team focused on turning bold ideas into impactful products. This role involves independently executing complex projects and delivering actionable insights.
Key Responsibilities
- →Design, prototype, and refine deep learning models for text-to-video and image-to-video generation using cutting-edge techniques in generative AI
- →Develop robust pipelines for dataset curation, preprocessing, training, and model evaluation
- →Lead data science features from concept to production, ensuring they meet strategic goals
- →Work closely with product managers, engineering teams, and senior leadership to define use cases and bring production-grade AI systems to life
- →Run A/B tests, iterate based on performance feedback, and ensure alignment with product experience goals
- →Stay ahead of the curve in the fast-moving GenAI space, guiding strategy and representing the team in technical forums
Requirements
- ✓Proven experience with deep learning architectures for generative tasks
- ✓Strong understanding of LLMs, with hands-on experience in fine-tuning, prompt engineering, and evaluating foundation models
- ✓Preferred understanding of computer vision, natural language processing, and multimodal learning
- ✓Strong exposure to ML evaluation techniques, including perceptual quality metrics and user-in-the-loop testing
- ✓Proficiency in programming languages such as Python, R, and SQL
- ✓Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)
- ✓Excellent verbal and written communication skills
- ✓Preferred education and experience
- ✓Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 7+ years hands-on experience in data science, with last few years working with GenAI stack, especially audio & video modalities
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