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Weekend Machine Learning Software Engineer Jobs (NOW HIRING)

Point72

Machine Learning Engineer

New York, NY

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

Point72

Machine Learning Engineer

New York, NY · On-site

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137.20K - $180.90K/yr

This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software ...

Nvidia

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143.90K - $189.70K/yr

This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

... with machine learning software libraries such as TensorFlow or PyTorch • Excellent analytical ... Context engineering is strongly preferred • Experience with natural language processing ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • ...

FOCUSKPI INC

Be Seen First

Software Engineer - Machine Learning

Mountain View, CA · On-site

$95 - $110/hr

FocusKPI is seeking a Software Engineer - Machine Learning to join one of our clients, a high-tech SaaS company. We are looking for an experienced Machine Learning Engineer to lead the development of ...

FOCUSKPI INC

Be Seen First

Software Engineer - Machine Learning

Mountain View, CA · On-site

$95 - $110/hr

FocusKPI is seeking a Software Engineer - Machine Learning to join one of our clients, a high-tech SaaS company. We are looking for an experienced Machine Learning Engineer to lead the development of ...

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Weekend Machine Learning Software Engineer information

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

As of May 30, 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 Engineer

Machine Learning Engineer

Point72

New York, NY

Other

Posted 16 days ago

Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role/Responsibilities:

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team.

This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.

This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.

Requirements:

  • PhD or PhD candidate in machine learning, computer science or other AI related research fields
  • Experience with sequential modeling and time series forecasting using deep learning
  • Experience with deep neural networks and representation learning
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code
  • Proficiency in programming languages such as Python and R
  • Experience with machine learning software libraries such as TensorFlow or PyTorch
  • Experience implementing Agent or Context engineering is strongly preferred
  • Experience with natural language processing technology is strongly preferred
  • Excellent analytical skills, with strong attention to detail
  • Collaborative mindset with strong independent research ability
  • Strong written and verbal communication skills
  • Commitment to the highest ethical standards

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