Machine Learning Engineer - Machine Translation AutomationJoin our innovative Apple 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 Machine Translation is a critical technology that enables connecting people across language barriers.
The Apple MT organization is responsible for the R&D of state-of-the-art approaches to MT as well as applications of this technology (e.g., Translate app, Safari web page translation and System-wide translation).
We are seeking an experienced Software Engineer to focus on the end-to-end development and continuous optimization of our machine translation model automation pipelines.
You will leverage expertise in big data processing, deep learning, and ML CI/CD pipelines to drive model deployment from prototype to production scale.
Strong collaboration skills are essential as you will work closely with research, client and other engineering teams to deliver impactful solutions.
Minimum Qualifications Bachelor's or Master's degree in Computer Science or a related field.3+ 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 orchestration or model management systems (e.g., MLflow, Kubeflow).Preferred Qualifications Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.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).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.
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