Role: Senior Machine Learning Engineer
Location: Seattle, WA (Onsite role)
Duration: 6 + Months
 
Job Summary
The AI/ML - Machine Translation team is looking for exceptional Machine Learning 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.
 
You will be part of a team that's responsible for a wide variety of language technologies 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.
 
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 plus 

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

Education

• B.S. or M.S. in Computer Science, Machine Learning, Statistics, or related field.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 70.00/hr.