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.

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.