Time since we first saw it
Day 203
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
#LI-Remote The US base salary range for this full-time position is $205,000-$265,000. 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.Read the full posting
Listed location: RemoteRead the full posting
Design, develop, and maintain advanced machine learning models and algorithms
Lead complex machine learning projects that add business value
Design architecture and infrastructure for scalable, robust ML systems
Provide technical leadership to Machine Learning Engineers
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
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation
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
- 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
To actively connect people to their next great opportunity.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 203 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 203
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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)
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Staff Software Engineer, Machine Learning job there since April 2026. It is still up.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.)
Our Mission:
To actively connect people to their next great opportunity.
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
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
Key Focuses:
Preferred Qualifications:
As part of our team you’ll enjoy:
#LI-Remote
The US base salary range for this full-time position is $205,000-$265,000. 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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
#LI-Remote The US base salary range for this full-time position is $205,000-$265,000. 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.
Remote
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.) Our Mission:
- Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $205,000-$265,000. 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.
No clear work-authorization passage found. Eligibility is unconfirmed.