About the job
Play a part in the next revolution in human-computer interaction. Build groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. The Machine Translation team is looking for exceptional Software Engineers passionate about delighting customer's experience, building and improving the Machine Learning Automation and Tooling with a strong focus on model automation pipelines development and deployment.
Responsibilities
Developing and maintaining automation pipelines and tools for training, evaluating and deploying machine learning models for machine translation and related NLP tasks
Building and optimizing distributed data processing systems with emphasis on efficiency, reliability, and scalability
Designing and implementing CI/CD pipelines for ML model deployment and monitoring
Qualifications
Minimum
4+ years of software engineering experience building scalable, production-quality systems
Proficient coding skills in Python and experience with software infrastructure tools
Experience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing
Strong understanding of CI/CD practices, hands on experience in pipeline building, orchestration system and deployment workflows
Excellent communication and problem solving skills
Familiarity with ML concepts (model training, evaluation, experiment tracking) is a plus
Experience with ML frameworks such as PyTorch or JAX is a plus
Preferred
5+ years of software engineering experience building scalable, production-quality systems
Excellent coding skills in Python and experience with software infrastructure tools
Experience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing
Strong experience with ML concepts (model training, evaluation, experiment tracking) is a plus
Strong experience with ML frameworks such as PyTorch or JAX is a plus