Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
About the role
- Machine Learning Engineer at Snap Inc. building and deploying models for core products. Collaborating with teams to prototype and enhance features serving millions of users.
Responsibilities
- build and deploy machine learning models that power core products, serving millions of Snapchatters
- apply modern ML techniques to solve large-scale, real-world problems
- own the full ML lifecycle from data analysis to production deployment
- partner with cross-functional teams to prototype and launch ML-driven features
Requirements
- Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
- 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
- experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
- advanced degree in computer science or related field (preferred)
- experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- experience working with machine learning, ranking infrastructures, and system design
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.
Software Engineer I developing machine learning models and applications at Smart Data Solutions. Collaborating to improve infrastructure and automate processes using AI technology.
Intermediate Machine Learning Engineer at Aviva Canada implementing ML pipelines with required collaboration in AI/ML Operations. Join a team dedicated to operationalizing ML models for optimizing solutions.