NLP ML Engineer — Input & Multimodal UX

AI Chopping Block, Inc.; Northern (KY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

AI Chopping Block, Inc. is seeking a Machine Learning Research Engineer to build and refine model pipelines that enhance ML-driven user experiences across Apple platforms. You will conduct experiments, develop prototypes, and contribute evaluation metrics to measure progress.

The role involves building models for new UI experiences, researching techniques to improve model behavior, and collaborating with language experts to address language-specific requirements in production deployments.

Qualifications

• MS or PhD in Computer Science or related field with at least 2 years of industry experience.
• Strong Python programming skills, with experience developing production-quality Python modules.
• Solid background in machine learning, data science, natural language processing, or statistics.

Responsibilities

• Building models for new user interface experiences.
• Researching techniques to enhance model behavior.
• Development and maintenance of scalable modeling pipelines that support multiple languages and production deployment.
• Defining robust automated evaluation metrics to facilitate model quality improvement through hillclimbing.
• Conducting failure analysis to identify and address the shortcomings of our models.
• Curation and synthesis of representative training and evaluation data.
• Implementation of experiments and simulations to assess the value of model modifications.
• Collaboration with language experts and QA to refine modeling approach in consideration of language-specific requirements

Skills

Python programming

Machine learning

NLP research

Education

MS or PhD in Computer Science or related field

Job description

AI Chopping Block, Inc. is seeking a Machine Learning Research Engineer to build and refine model pipelines that enhance ML-driven user experiences across Apple platforms. You will conduct experiments, develop prototypes, and contribute evaluation metrics to measure progress.

The role involves building models for new UI experiences, researching techniques to improve model behavior, and collaborating with language experts to address language-specific requirements in production deployments.