Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
About the role
- Senior Machine Learning Engineer working with Adobe's Generative AI Services team. Designing scalable AI systems and optimizing GPU pipelines for Adobe's suite of products.
Responsibilities
- Design and development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
- Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
- Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those models.
- Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability.
- Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
Requirements
- MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
- 10+ years of experience in machine learning, including production-scale deployments.
- 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
- Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
- Good understanding of generative model architectures, including diffusion models, transformers, and GANs.
- Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.
Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.
Staff ML Engineer at GEICO leading the design and deployment of AI applications. Collaborating with teams to ensure scalability and reliability of generative AI solutions.
Senior Staff ML Engineer serving as a technical leader for Generative AI applications at GEICO. Collaborating with engineers to design and develop high - performance AI solutions.