Remote Data Engineer (Speech Team)

Description:

• Pindrop is seeking a Data Engineer to join the Speech Research team, focusing on the development of deepfake detection products.
• The role involves designing and maintaining datasets for machine learning model training, including data collection, augmentation, and storage.
• Responsibilities include developing and maintaining tools for data collection, augmentation, and visualization, as well as contributing to research packages for training and testing ML models.
• The candidate will conduct experimental studies on audio processing tasks to assess the accuracy and quality of existing models and participate in regular research and code reviews.

Requirements:

• A Master's degree or PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or Artificial Intelligence, or equivalent experience is required.
• At least 1 year of professional experience as a data engineer in Deep Learning, preferably in areas like automatic speech recognition, natural language processing, or model compression.
• Experience in preparing data for ML model training and evaluation is essential.
• Strong Python skills are required, along with experience in at least one ML framework such as TensorFlow, Keras, or PyTorch.
• Preferably, candidates should have experience working with audio/visual data and data collection.
• Familiarity with JavaScript, HTML, CSS, or React JS is preferred.
• Knowledge of biometrics, authentication, fraud, or customer experience concepts is a plus.
• Experience in communicating with internal and external customers regarding proof-of-concepts and issues is preferred.

Benefits:

• Competitive compensation is offered to all employees.
• The company provides 4 company-wide rest days in 2025 for all employees to recharge.
• Monthly compensation for group English lessons is included as part of the education benefits.
• Comprehensive medical and dental insurance is provided as part of health benefits.
• A Work-From-Home stipend is available to support remote work.
• The company has an unlimited time off policy, allowing for flexible time off.
• Health-related time off is also included in the benefits package.
• A referral program is available for employees to recommend potential candidates.
• An IT kit is provided to support employees in their roles.