Staff Software Engineer (Machine Learning)
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Aug 29, 2026.
Join ZipRecruiter as a Staff Software Engineer specializing in Machine Learning. In this role, you will design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems. You will lead complex machine learning projects, design the overall architecture and infrastructure for machine learning systems, and push the boundaries of what's possible in machine learning. You will also provide leadership and set the tone for Machine Learning Engineers at ZipRecruiter.
Missions
- Concevoir, développer et maintenir des modèles et des algorithmes avancés d'apprentissage automatique pour résoudre des problèmes commerciaux complexes.
- Diriger des projets complexes d'apprentissage automatique qui résolvent des défis commerciaux et ajoutent de la valeur à l'entreprise.
- Fournir un leadership et définir le ton pour les ingénieurs en apprentissage automatique, en tirant parti des meilleures pratiques de l'industrie et de l'innovation.
Profil recherché
- Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design- Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices
- 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
- 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