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Weekend Machine Learning Software Engineer Jobs in Chicago, IL

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms We are seeking a ... Experience implementing software solutions using object-oriented or functional languages (e.g ...

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

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Weekend Machine Learning Software Engineer information

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$211.7K

How much do weekend machine learning software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for weekend machine learning software engineer in Chicago, IL is $151,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and collaboration expectations for a Weekend Machine Learning Software Engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, machine learning, and data science can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, complex projects, or working at major tech companies often have compensation packages reaching or exceeding this level.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Software Engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is a Weekend Machine Learning Software Engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

Do software engineers work on weekends?

Software engineers, including those working on machine learning projects, typically work standard weekday hours, but may occasionally work on weekends to meet project deadlines or troubleshoot issues. Weekend work is more common in roles with tight schedules or on-call responsibilities, especially in fast-paced or critical environments.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

What engineers make $300,000 a year?

Senior machine learning software engineers, especially those with expertise in deep learning, data science, and cloud computing, can earn $300,000 or more annually. High compensation often depends on experience, location, company size, and advanced skills in programming languages like Python and frameworks such as TensorFlow or PyTorch.

Which 5 jobs will survive AI?

A Weekend Machine Learning Software Engineer is likely to find that roles involving complex problem-solving, creative tasks, interpersonal communication, strategic planning, and specialized technical skills are more resistant to automation. Jobs requiring human judgment, emotional intelligence, and adaptability are expected to persist despite advances in AI. Continuous learning and expertise in AI tools can also help professionals stay relevant in evolving tech environments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Chicago, IL? The most popular types of Machine Learning Software Engineer jobs in Chicago, IL are:
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Zocdoc

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms

We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will build scalable products to improve the healthcare search experience for patients and providers. You will balance your contributions as an applied Machine Learning Engineer with mentorship responsibilities.

Responsibilities
  • Contribute to the end-to-end development of search algorithms and ML models.
  • Implement ML Ops and CI/CD best practices.
  • Collaborate with other teams to incorporate features within Search.
  • Ship efficient and scalable code to millions of users.
  • Partner with product and design teams to develop product improvements.
  • Mentor other engineers.
  • Work with GenAI tools and technology.
Requirements
  • Passion for building and productionizing large-scale consumer-facing ML models.
  • Solid understanding of machine learning techniques.
  • Understanding of consumer-facing experiment design.
  • Passion for technology and the ability to think critically about software performance, scalability, and reliability.
  • Experience building data platforms with the latest technologies.
  • Experience implementing software solutions using object-oriented or functional languages (e.g., Scala, Spark, Databricks, Python, React, C#, Node.js).
  • Experience designing, building, and shipping applications that scale.
  • 7+ years of professional development experience (Data teams experience is a plus).
  • Experience mentoring other engineers.
  • Computer Science or related degree (preferred).
Benefits
  • Flexible, hybrid work environment.
  • Unlimited Vacation.
  • 100% paid employee health benefit options.
  • Commuter Benefits.
  • 401(k) with employer-funded match.
  • Corporate wellness programs with Headspace and Peloton.
  • Sabbatical leave (for employees with 5+ years of service).
  • Competitive paid parental leave and fertility/family planning reimbursement.
  • Cell phone reimbursement.
  • Catered lunch every day along with beverages and snacks.
  • Employee Resource Groups and ZocClubs.
  • Great Place to Work Certified.
How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

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About ZocDoc

Sourced by ZipRecruiter

Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone , we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences, and contributors make our community and our platform better. We're an equal-opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

Industry

Internet websites and web search portals

Company size

501 - 1,000 Employees

Headquarters location

New York, NY, US

Year founded

2007