[Remote] Staff Software Engineer, Machine Learning

Note: The job is a remote job and is open to candidates in USA. ZipRecruiter is a leading online employment marketplace that connects businesses and job seekers through innovative technology. The Staff Software Engineer in Machine Learning will design and maintain advanced machine learning models, lead projects that address business challenges, and ensure the scalability and efficiency of machine learning systems.

Responsibilities

• Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems
• Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business
• Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness
• Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value
• Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation
• Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriate

Skills

• 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

Benefits

• Competitive compensation
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan
• Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

Company Overview

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