SupportYourApp is hiring a
Machine Learning Engineer, Remote - United States

Summary

The job is for a Machine Learning Engineer at Label Your Data. The role involves automating and enhancing the data annotation process using machine learning models, collaborating with cross-functional teams, researching advanced techniques, designing scalable systems, conducting experiments, working with the annotation team, maintaining documentation, and staying updated with the latest trends in machine learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
• Proven experience as a Machine Learning Engineer or similar role
• Strong understanding of machine learning algorithms, models, and techniques
• Proficiency in programming languages such as Python, R, or Java
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc
• Knowledge of data preprocessing, feature engineering, and model evaluation

Responsibilities

• Develop, implement, and optimize machine learning models to automate and enhance the data annotation process
• Collaborate with cross-functional teams to understand client requirements and develop tailored solutions
• Research and apply state-of-the-art machine learning techniques and algorithms to improve annotation accuracy and efficiency
• Design and build scalable data pipelines and systems for managing large datasets
• Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
• Work with the annotation team to provide guidance on best practices and quality assurance
• Develop and maintain documentation for machine learning models and processes
• Stay up-to-date with the latest trends and advancements in machine learning and data annotation

Preferred Qualifications

• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Hadoop, Spark) is a plus
• Experience in the annotation or data labeling industry
• Knowledge of computer vision and natural language processing (NLP) techniques
• Experience with active learning, semi-supervised learning, and other advanced ML techniques
• Understanding of quality assurance processes and tools in the context of data annotation

Benefits

• Remote work
• Flexible working hours
• Competitive payment + commission
• Financial and professional growth
• Great management with no bureaucracy
• Open, collaborative, and dynamic culture
• Inclusive international environment
• Interesting and challenging tasks