Machine Learning Engineer, Siri Speech

We are looking for a skilled Machine Learning Engineer to design, build, and deploy machine learning systems that solve real-world problems at scale. You will work closely with data scientists, software engineers, and product teams to bring ML models from research into production., * Design, train, and evaluate machine learning models for production use cases

• Build and maintain scalable ML pipelines (data ingestion, feature engineering, training, evaluation, serving)
• Collaborate with data scientists to translate research prototypes into robust, production-grade systems
• Monitor deployed models for performance degradation and data drift
• Optimize models for latency, throughput, and resource efficiency
• Contribute to ML infrastructure, tooling, and best practices

• MSc in Computer Science, Machine Learning, Statistics, or a related field
• Proven experience in machine learning or a related engineering role
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX)
• Experience with the full ML lifecycle: data processing, training, evaluation, deployment

Preferred Qualifications

• Familiarity with distributed training and large-scale data pipelines
• Solid understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, regularization
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
• Strong software engineering practices: testing, code review, version control
• Experience with LLMs, fine-tuning, RLHF
• Familiarity with MLOps tools (MLflow, Weights & Biases, Kubeflow)
• Background in a specific domain (audio generation, speech-to-speech, NLP)
• Experience with feature stores or real-time serving infrastructure