Job Description

Machine Learning Data Engineer

Key Responsibilities:

• Collaboration: Collaborate with cross-functional teams including data scientists, machine learning engineers, and domain experts to understand data requirements and objectives.
• Data Strategy: Design and develop data collection strategies for large-scale image, video, and audio datasets, considering factors such as diversity, quality, and representativeness.
• Pipeline Development: Design, develop, and maintain robust data pipelines to collect, store, and process large volumes of data efficiently and reliably.
• Automation: Develop and implement automation tools to streamline data collection, processing, and curation tasks.
• Infrastructure Management: Oversee the infrastructure required for data storage and processing, ensuring scalability and performance.
• Data Curation: Curate and manage datasets, ensuring they are clean, well-organized, and suitable for training and testing ML models.
• Data Quality Assurance: Implement data validation and quality assurance processes to ensure the integrity and accuracy of datasets.
• Documentation: Document processes, methodologies, and best practices related to data collection and management.
• Innovation: Stay up-to-date with the latest advancements in data collection, machine learning, and related fields, contributing insights and ideas to the team.

Qualifications:

• Education: Bachelor's or Master’s degree in Computer Science, or a related field.
• Experience: 3+ years of experience in designing and implementing data collection pipelines for image, video, or audio datasets.
• Skills:
• Strong programming skills in languages such as Python or Java.
• Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
• Experience with data preprocessing, cleaning, and transformation techniques.
• Proficiency in using databases and data storage solutions (e.g., SQL, NoSQL, Hadoop).
• Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their services.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills with the ability to work collaboratively in a team environment.
• Experience with distributed computing and big data processing is a plus.
• Background in computer vision, natural language processing, or audio processing is a plus.

Compensation and Benefits:

• Competitive salary and stock options
• Comprehensive health, dental, and vision insurance
• Generous paid time off and company holidays
• Professional development opportunities
• Hybrid work environment, with 3 days per week expected in office in Atlanta, GA or Austin, TX

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