Principal Data Scientist, Gen AI and Vision at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Computer Vision, Multimodal Models, Diffusion Models, PyTorch, Deep Learning, Model Optimization, Technical Leadership, Inference Optimization, Fine-tuning, Model Evaluation, Simulation-grounded AI

Industry

Internet Marketplace Platforms

Description

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. \n 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 \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Lead the technical strategy and end-to-end lifecycle of generative AI and computer vision systems, focusing on multimodal and simulation-grounded architectures. Drive the development of scalable, production-ready AI models while mentoring data scientists and machine learning engineers.