Designing, developing, and implementing machine learning models and algorithms at PayPal. Collaborating with data scientists and software engineers to enhance services through innovative AI/ML solutions.
About the role
- ML Engineer developing and implementing cutting-edge software solutions at CloudFactory. Focus on building computer vision products and collaborating with cross-functional teams.
Responsibilities
- Developing and implementing cutting-edge software solutions that enhance machine learning and core business capabilities
- Building models that help humans annotate faster with as little data as possible
- Simplifying the complexities of vision AI for users
- Collaborating closely with ML engineers and communicating complex issues clearly to stakeholders from the tech, product, or business teams
Requirements
- Degree in applied mathematics, statistics, computer science, physics, engineering, a quantitative or computation field. MS or PhD preferred
- 3+ years applying machine learning to practical uses
- Experience working in computer vision
- Fluent in Python and writing production ready code
- Experience with deep learning frameworks such as PyTorch and TensorFlow
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
- End-to-end experience bringing ML models to production or building ML pipelines
- Knowledge of LLMs or generative AI systems, including prompt engineering, fine-tuning, or retrieval-augmented generation (RAG)
- Experience with model optimization techniques
- Experience using Golang
- Comfortable with SQL databases
- Knowledgeable about docker/kubernetes
Benefits
- At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!
- Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can’t wait to meet you!
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