Z
ZipRecruiter
Staff Software Engineer (Machine Learning)
Skills
Deep LearningPyTorchTensorFlowMachine LearningAINLP / Natural Language Processing
2 months ago
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Important information
Contract type:
Permanent
Salary:
$180,000 – $225,000 / year
Location:
Santa Monica, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features
- Working at ZipRecruiter, you will be helping literally millions of people find their dream job
- We’re working on problems like: given a training set of job postings, and known salaries, build a system that predicts salary for novel jobs.Of course, you know that while building models is fun, it’s also just one step in the process; gathering training data, cleansing it, digging into it, extracting features from it, etc, is a huge part of the job
- You’ll 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- Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design
- Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices
- 7+ year of professional software development experience with a deep focus in machine learning
- 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
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