Machine Learning Engineer developing and deploying AI systems for Personio's HR platform. Collaborating with teams to integrate ML features and products ensuring data privacy and security.
About the role
- Senior Machine Learning Engineer designing and developing generative AI systems for Adobe Firefly Services. Collaborating with other engineering teams on innovative solutions and optimizing performance in large-scale environments.
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
- 4-7+ years of experience in machine learning, including production-scale deployments
- 2+ 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
Benefits
- Comprehensive benefits programs
- Opportunities for professional growth and development
- Paid time off
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Machine Learning Engineer leading AI and Machine Learning systems at Bumble for recommendations and personalization. Driving improvements in user engagement and safety across Bumble products.
Software Engineer delivering MLOps solutions for Generative AI at DataGalaxy. Focusing on reliability and collaboration with product engineering teams in a hybrid environment.
Senior Machine Learning Engineer responsible for designing, building, and deploying ML solutions. Joining a global tech group tackling high - impact projects in Buenos Aires.
Principal Machine Learning Engineer at Qodea responsible for leading ML model lifecycle and collaborating on AI solutions in Buenos Aires delivery center.
Lead ML Ops Engineer for a fast - growing AI startup focused on scalable infrastructure. Drive hands - on execution across the entire model lifecycle in a collaborative environment.
Lead Machine Learning Engineer creating personalized item recommendations for Target.com and the Target App. Designing and optimizing production ML solutions with a team of data scientists and engineers.
Senior Machine Learning Engineer at Doctrine focusing on developing NLP models for legal document processing. Join an ambitious team to innovate within the field of legal technology.
Senior ML Engineer developing scalable production ML systems across various teams in JobCloud. Leading innovation in the AI - driven recruitment landscape, improving job ad visibility and performance.
MLOps Engineer responsible for designing and maintaining ML pipelines at JobCloud. Collaborating with teams to productionize ML models and ensuring robust system performance.