SupportYourApp is hiring a
Machine Learning Engineer, Remote - United States
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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
This job is filled or no longer available
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