Privasea
Machine Learning Development Engineer
NEWRemoteFull-timeGlobal
š Midš Remote
RemoteRemote work position availableActivePosted within the last 30 days
Job Description
[AI-summarized by JobStash]
You will build and optimize machine learning models to meet product needs, focusing on accuracy and performance. You will apply modern machine learning and deep learning algorithms to real-world identification problems, collect and preprocess data, extract features, train and tune models, analyze model performance, and write technical documentation to support deployment and updates.
Requirements
- āBachelor's degree or higher in Computer Science, Mathematics, Statistics, or a related field
- āAt least 2 years of experience in machine learning and deep learning
- āProficient in common machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch
- āStrong foundation in linear algebra, probability theory, and mathematical statistics
- āStrong programming skills in Python and familiarity with scikit-learn
- āExperience in facial recognition, voiceprint recognition, or related projects is preferred
Responsibilities
- āResearch and optimize machine learning models for facial recognition and voiceprint recognition
- āUse deep learning frameworks such as TensorFlow and PyTorch for model training and tuning
- āAnalyze model performance and enhance recognition accuracy and speed by adjusting algorithm parameters and network structures
- āCollaborate in data collection, preprocessing, and feature extraction
- āStay updated with latest research trends and introduce new technologies and ideas
- āWrite and maintain technical documentation to support deployment and updating of models
Tech Stack
PyTorchlinear algebramachine learningdata preparationscikit-learnTensorFlowstatisticsModel evaluationfacial recognitionModel training