Senior Machine Learning Engineer Jobs in USA, WA, Seattle | Rose International Job

EducationB.S. or M.S. in Computer Science, Machine Learning, Statistics, or related field.Qualifications

• Strong machine learning expertise with hands-on experience in model fine-tuning, evaluation, experiment tracking, pipeline building and deployment
• 3+ years working experience in ML lifecycle, Model management, big data/Spark/MapReduce, large distributed system, cloud computing etc
• Proficient coding skills in Python and experience with ML infrastructure tools
• Excellent communication and problem-solving skills
• Experience with LLMs, neural machine translation is a plus
• Deep knowledge in ML frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures is a plusDescription: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 AI/ML - Machine Translation team is looking for exceptional Machine Learning Engineers passionate about delighting customers' experience, building and improving Machine Learning Automation and Tooling, with a strong focus on developing and deploying model automation pipelines.You will be part of a team responsible for a wide variety of language technology-related development activities. Your focus will be on developing the model automation pipelines which are highly scalable, robust, and efficient. The role will be part of the model automation team to deal with large quantities of data, apply the state-of-the-art methods in deep learning to tackle real world problems, create the production quality models at scale, and set up ML CI/CD pipelines.Key responsibilities include:
• Developing automation pipelines and tools for training, evaluating and deploying machine learning models for machine translation and related NLP tasks
• Implementing and optimizing ML pipelines with emphasis on distributed data processing, training and efficiency
• Collaborating with software engineers and QE to integrate ML models into production systems**Only those lawfully authorized to work in the designated country associated with the position will be considered.** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**