Hiring: Staff Software Engineer, Machine Learning Company: ZipRecruiter Location: Santa Monica, CA Job Posted Time: 2026-09-17 00:27:10 Employment Type: Full-time / Hybrid Target Skills & Keywords : Android, Data Pipeline, Deep Learning, GANs, Linear, Machine Learning, NLP, NLTK, PyTorch, TensorFlow, iOS, scikit-learn, spaCy About the job Experience: •7+ year of professional software development experience with a deep focus in machine learning •10+ year of professional software development experience with an expertise in machine learning Required Skills: •Working at ZipRecruiter, you will be helping literally millions of people find their dream job. Qualifications: •7+ year of professional software development experience with a deep focus in machine learning •Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices •Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design. •10+ year of professional software development experience with an expertise in machine learning •BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience •Expert knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices •Profound knowledge of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn •Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs) •Deeply versed in NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT •As part of our team you’ll enjoy: Compensation: •$205,000 - $265,000 / year •Flexible Vacation & Paid Time Off Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!