This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Scientist, Gen AI and Vision based in the United States.
This is a senior technical leadership role focused on advancing the next generation of generative AI and computer vision systems, including multimodal models, diffusion-based architectures, and simulation-grounded visual intelligence. You will define and drive the strategy for building scalable, production-ready AI systems that balance cutting-edge research with real-world performance constraints. The role spans the full model lifecycle—from experimentation and prototyping to deployment and optimization—within complex, high-impact environments. You will play a central role in shaping how models interpret, generate, and control visual and structured outputs across advanced AI applications. Working closely with engineering, evaluation, and platform teams, you will help establish technical standards, improve system reliability, and ensure models meet rigorous production requirements. This is a high-ownership position where your decisions directly influence architecture, product direction, and long-term AI capability development.
Accountabilities:
- Define and lead the technical strategy for generative AI and computer vision systems, including multimodal and simulation-grounded model architectures.
- Own the end-to-end model lifecycle, from research exploration and prototyping to production deployment and performance optimization.
- Design and improve model controllability, realism, temporal consistency, robustness, and scalability across visual AI systems.
- Establish evaluation frameworks, benchmarks, and release criteria in collaboration with evaluation and platform engineering teams.
- Drive fine-tuning, adaptation, and hybrid modeling strategies to meet domain-specific and production requirements.
- Identify and mitigate model failure modes such as drift, instability, and output inconsistency across complex systems.
- Guide architectural decisions, inference optimization strategies, and model deployment tradeoffs for production readiness.
- Mentor and provide technical leadership to data scientists and machine learning engineers within the team.
Requirements:
- Master’s or PhD in Computer Science, Machine Learning, AI, or a related field.
- 10+ years of experience in deep learning, computer vision, generative AI, or multimodal model development.
- Deep expertise in generative modeling techniques such as diffusion models, world models, or advanced vision systems.
- Strong proficiency in PyTorch and modern ML workflows, including training, fine-tuning, evaluation, and inference optimization.
- Proven experience adapting large pre-trained models to complex, real-world production environments.
- Strong understanding of model evaluation, quality assessment, and tradeoff analysis between accuracy, performance, and scalability.
- Demonstrated technical leadership at a principal or staff level, with experience owning architecture or end-to-end systems.
- Experience working across research and engineering teams to deliver production-grade AI solutions.
- Exposure to areas such as synthetic data, robotics, geospatial AI, or large-scale inference systems is a plus.
Benefits:
- Competitive base salary with performance-based annual bonus eligibility
- Comprehensive health coverage, including medical, dental, and vision insurance
- Retirement savings plans and long-term financial support options
- Generous paid time off and flexible leave policies
- Remote-first work environment with flexible location options across the United States
- Opportunities to work on cutting-edge generative AI and computer vision technologies
- Inclusive, innovation-driven culture focused on advanced AI research and real-world impact