Senior Software Engineer, Machine Learning

Job not on LinkedIn

🕒 April 1

🇺🇸 United States – Remote

💵 $140k - $225k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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ZipRecruiter

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🎯 Recruiter

👥 HR Tech

🤝 B2B

💰 $550M Post-IPO Debt on 2022-01

Recruitment • HR Tech • B2B

ZipRecruiter is an online employment marketplace that connects job seekers with employers. It offers a platform where candidates can create profiles and search for jobs, while employers can create accounts to list job openings. The platform sends instant job alerts to potential candidates using powerful matching technology, ensuring convenience for job seekers and efficient recruitment for businesses. ZipRecruiter's services are utilized by small & medium businesses, enterprise businesses, and individual job seekers alike, aiming to streamline the job search and recruitment process.

📋 Description

• 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

🎯 Requirements

• 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 (preferred) • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience (preferred) • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices (preferred) • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn (preferred) • Experience with deep learning architectures and techniques, such as CNNs, RNNs, LSTMs, and GANs (preferred) • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT (preferred)

🏖️ Benefits

• Competitive compensation • Exceptional benefits package • Flexible Vacation & Paid Time Off • Employer-matched 401(k) plan