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Senior Software Engineer (Machine Learning)

ZipRecruiter

On-siteSanta Monica, CAsenior$140k–$200kPosted 8h ago

Job description

  • Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs

  • We’re tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries

  • But the fun doesn’t stop at model-building

  • Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights

  • This role will design, develop, and maintain machine learning models and algorithms to solve complex business problems

  • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools

  • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets

  • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability- Deep experience in machine learning algorithms, techniques, and best practices

  • 3+ year of professional software development experience with a focus in machine learning

  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience

  • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices

  • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn

  • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

  • Experience with 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)

  • 5+ year of professional software development experience with a focus in machine learning