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Apple Software Engineer Apple Pay United States, Texas, Austin 329082627
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Description
Your responsibilities will encompass designing and implementing ML/data infrastructure, platforms, and solutions tailored to our specific needs. This will involve developing infrastructure and platforms that empower others and facilitate collaboration to address a wide range of challenges within multifaceted production environments. You will be closely working with machine learning engineers, data scientists, software engineers to ensure a flawless integration and operation. Additionally, you will explore opportunities within our production and development processes to leverage computer vision, deep learning and other ML/software tools to drive continuous improvements and innovation.
Minimum Qualifications
- Solid software development skills in one or more general purpose languages such as Python, Java or Swift, adhering to the best coding practices
- Experience with object oriented analysis and design
- Proficient in network infrastructure, databases, telemetry, containerization and cloud technologies.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in Machine Learning Operations (MLOps) in deploying, operationalizing, and maintaining scalable AI/ML.
- Familiarity with data processing and ETL technologies, including NumPy, Pandas, Amazon S3, Kafka, Airflow, Kubeflow, Dataflow, etc.
- Basic knowledge of Machine Learning concepts and frameworks.
- Strong communication, collaboration & interpersonal skills
- BS degree in computer science or equivalent field plus 5-8 years of software development experience or equivalent experience
Preferred Qualifications
- Experience in machine learning, data science, statistics, computer vision, image processing
- Experience with building biometric fraud systems, digital identity management
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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