Staff Software Engineer, Machine Learning
Quick Summary
To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology,
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
- 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
Requirements
~1 min read- 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.
Requirements
~1 min read- 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
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
#LI-Remote
The US base salary range for this full-time position is $180,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
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.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Listing Details
- Posted
- October 29, 2025
- First seen
- March 26, 2026
- Last seen
- April 20, 2026
Posting Health
- Days active
- 25
- Repost count
- 0
- Trust Level
- 34%
- Scored at
- April 20, 2026
Signal breakdown
Please let Ziprecruiter know you found this job on Jobera.
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