ZipRecruiter is looking to build new data-driven features to help millions of people find their dream job. This includes problems like predicting salaries for novel jobs based on historical data.
Requirements
- 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.
- 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
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
Other
- We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
