Note: The job is a remote job and is open to candidates in USA. ZipRecruiter is an online employment marketplace powered by AI-driven smart matching technology that connects businesses and job seekers. The Senior Software Engineer, Machine Learning will design, develop, and maintain machine learning models, analyze and visualize data insights, evaluate model performance, and optimize models for accuracy, performance, and scalability.
Responsibilities
- 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
Skills
- 3+ year of professional software development experience with a focus in machine learning
- Deep experience in machine learning algorithms, techniques, and best practices
- Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
- 5+ year of professional software development experience with a focus in machine learning
- 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
- 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)
- Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT
Benefits
- Hybrid work environment; most US-based positions can also be performed remotely
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
- Equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package
- Medical, financial, and other benefits
Company Overview
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