Senior Software Engineer - Machine Translation Automation
Apple
Software Engineering
Seattle, WA, USA
Posted on Dec 5, 2024
Summary
Posted:
Weekly Hours: 40
Role Number:200579750
Join our innovative AI/ML - Machine Translation team and be at the forefront of revolutionizing human-computer interaction. As a Senior Software Engineer, you will focus on developing and enhancing our Machine Learning Automation and Tooling. You will work closely with cross-functional teams to build scalable, robust, and efficient model automation pipelines that power our language technologies.
Description
Responsibilities: Design and Develop Model Automation Pipelines: Lead the design and implementation of highly scalable and efficient model automation pipelines for machine translation. ML Lifecycle Management: Implement and manage the ML lifecycle, including model deployment, monitoring, and retraining. Big Data Processing: Utilize expertise in big data technologies such as Spark and MapReduce to handle large quantities of data efficiently. Deep Learning Integration: Integrate state-of-the-art deep learning methods into our existing pipelines to solve real-world machine translation problems. ML CI/CD Pipelines: Set up and maintain continuous integration/continuous deployment (CI/CD) pipelines for machine learning models. Collaboration: Work closely with researchers, ML engineers, and other engineers to deliver high-quality products.
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field.
- 5+ years of experience in software engineering, with a focus on machine learning or natural language processing.
- Proficiency in Python programming language.
- Experience with big data technologies like Spark or Hadoop.
- Knowledge of model management systems (e.g., MLflow, Kubeflow).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Key Qualifications
Preferred Qualifications
- Knowledge of machine translation (MT), natural language processing (NLP), or automatic speech recognition (ASR).
- Experience with ML frameworks such as PyTorch or TensorFlow.
- Experience with cloud computing platforms (AWS, Azure, Google Cloud).
Education & Experience
Additional Requirements
Pay & Benefits
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. Learn more about your EEO rights as an applicant.