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Weekend Machine Learning Software Engineer Jobs (NOW HIRING)

Apple

Machine Learning Software Engineer

Sunnyvale, CA

$181.10K - $318.40K/yr

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields. Strong experience in Python. Working experience in C++ or Swift. Foundational understanding ...

Apple

Machine Learning Software Engineer

Sunnyvale, CA · On-site

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.Strong experience in Python.Working experience in C++ or Swift.Foundational understanding of ...

CAREERS | vector

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

Vector Resources, Inc

$110K - $150K/yr

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

Microsoft

Machine Learning Software Engineer

New York, NY · On-site

$188K - $304.20K/yr

Overview As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, NY · On-site

$176K - $206K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work ...

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

As of May 29, 2026, the average yearly pay for weekend machine learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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 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 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.

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 cities are hiring for Weekend Machine Learning Software Engineer jobs? Cities with the most Weekend Machine Learning Software Engineer job openings:
What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Weekend Machine Learning Software Engineer jobs? States with the most job openings for Weekend Machine Learning Software Engineer jobs include:
Weekend Machine Learning Software Engineer jobs near you

Machine Learning Software Engineer

Google

Mountain View, CA • On-site

Full-time

Posted 13 days ago

Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

37th of 183 rated software companies

Job description

Job Summary:
Google is a leading technology company that develops next-generation technologies to enhance user interaction and information access. They are seeking a Machine Learning Software Engineer to build and optimize deep learning models for travel ads, bridging the gap between generative AI and core ads infrastructure.
Responsibilities:
• Build, train, and scale deep learning models for ranking, retrieval and generation use cases using Adbrain, TensorFlow, or JAX, alongside efficient GenAI inference integration.
• Own the end-to-end design implementation, and deployment of robust ML features and data pipelines across AI surfaces, ensuring high code quality and system performance.
• Design, launch, and analyze A/B experiments to evaluate model performance, monitor user engagement, and drive improvements in ad relevance and business.
• Work closely with immediate teammates and cross-functional partners (Product, Data Science, UX) to clarify requirements and resolve technical blockers.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in software development (e.g., C++, Python).
• 2 years of experience in testing, maintaining, or launching software products.
• Experience building, training, and deploying machine learning models using TensorFlow, JAX, or Adbrain.
• Experience working with ranking, retrieval and other recommendation systems models.
Preferred:
• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience with generative AI techniques (e.g., LLMs, natural language processing) and integrating them into production systems.
• Proven track record of managing large-scale ML systems, conducting analysis of quality systems, and identifying bottlenecks to improve performance.
• Excellent investigative and quantitative reasoning skills, with a foundation in statistics and experiment design (A/B testing).
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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