Senior Software Engineer I - Machine Learning

Senior Software Engineer I – Machine Learning

3 – 5 years of software development experience and a minimum of 2 internships with direct experience in building and evaluating ML models and delivering large-scale ML products.
MS or PhD in a relevant field
Proficient in crafting machine learning models, including neural networks, transformer models, Large Language Models, decision trees, and other traditional machine learning models
Fluent in machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow
Proficient in Python and able to transform abstract machine learning concepts into robust, efficient, and scalable solutions
Strong Computer Science fundamentals and object-oriented design skills
History of building large-scale data processing systems
Background working in a fast-paced development environment
Strong team collaboration and communication skills

Collaborate with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection
Train and tune models and perform model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions of events
Design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders
Create robust evaluation frameworks and metrics to assess the performance of these algorithms
Implement and optimize stream processing solutions using technologies like Flink and Kafka

No preferred qualifications provided.