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Part Time Machine Learning Software Engineer Jobs

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Feature Engineering and Model Optimization * Experience with industry-standard frameworks such as ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Tempe, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Athens, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Part Time Machine Learning Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

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

As of Sep 9, 2026, the average yearly pay for part time 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 does a part time machine learning software engineer do?

A Part Time Machine Learning Software Engineer develops and deploys machine learning models and algorithms on a flexible, part-time schedule. They work on tasks such as data preprocessing, feature engineering, model training, and evaluation, often contributing to software projects that incorporate AI solutions. These engineers collaborate with teams to integrate machine learning models into applications, ensuring efficiency and accuracy, while balancing their workload within limited hours. Their role is ideal for those seeking flexible work arrangements in the rapidly evolving field of artificial intelligence.

What are the key skills and qualifications needed to thrive as a part time machine learning software engineer, and why are they important?

To thrive as a Part Time Machine Learning Software Engineer, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and relevant experience or a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is typically required. Excellent problem-solving abilities, time management, and clear communication are essential soft skills, especially when working independently or with remote teams. These skills ensure you can efficiently develop, implement, and maintain machine learning solutions while collaborating effectively on a flexible schedule.

How does working part-time as a machine learning software engineer impact collaboration with full-time team members?

As a part-time Machine Learning Software Engineer, you may encounter unique challenges in staying aligned with full-time colleagues, especially when working on fast-paced or iterative projects. Effective communication, clear documentation, and regular check-ins are essential to ensure seamless collaboration and project continuity. Many teams use asynchronous tools and flexible stand-up meetings to accommodate varying schedules, allowing part-time engineers to contribute meaningfully without missing critical updates. Proactively engaging with teammates and being transparent about your availability are key to maintaining strong collaborations and delivering successful outcomes.

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

AspectPart Time Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and software solutions; often collaborates with engineering teamsAnalyzes data, builds models, interprets results; may work in research or business teams
Industry UsageUsed in tech companies, startups, and industries applying ML solutionsCommon in finance, healthcare, marketing, and research sectors

While both roles involve working with data and algorithms, a Part Time Machine Learning Software Engineer primarily focuses on developing and deploying ML models within software applications, often in a part-time capacity. A Data Scientist emphasizes data analysis, interpretation, and modeling to inform business decisions. The roles overlap in skills and tools but differ in their core focus and responsibilities.

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 Part Time Machine Learning Software Engineer jobs?

States with the most job openings for Part Time Machine Learning Software Engineer jobs include:

What are popular job titles related to Part Time Machine Learning Software Engineer jobs?

For Part Time Machine Learning Software Engineer jobs, the most frequently searched job titles are:

Machine Learning Engineer II (Intern) - United States

Milpitas, CA • On-site, Remote

Cisco
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

$44K - $130K/yr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cisco Systems rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

46th of 161 rated electronics manufacturers


Job description

The application window is expected to close on: 09/04/2026

This role may be eligible for remote work in theUnited Statesdepending on business needs and hiring manager approval.


Meet the Team

Join our innovative engineering team focused on building next-generation AI/ML solutions.You'llcollaborate with skilled colleagues acrossplatform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation.

Your Impact

Dive into the development and implementation ofcutting-edgegenerative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machineperception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment.

Collaboration is at the heart of this role-workalongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation withnew technologiesand ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact!

Minimum Qualifications

  • Currently enrolled in one of the following:

-An undergraduate degree program(Associate's or Bachelor's)with 2 years of work experience; or

-A Master's degree programwith 0 years of work experience.

- Qualifying education and workexperience should be inComputer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram

- Expected to continue enrollment in degree program following completion of the internship.

  • Backend development skills in Go or Python,demonstratedthrough a technical assessment, coding challenge, or code sample.

  • Understanding ofLLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation.

  • Practical experience with model building and AI or LLM tasks,evidencedby a portfolio, code samples, technical evaluation, or academic/research project documentation.

Preferred Qualifications

  • Experience with inference engines such asvLLM, Triton, orTorchServe.

  • Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models.

  • Familiarity with agent frameworks and cloud-native platforms.

  • Experience with cybersecurity principles and Python programming, including common AI libraries.

  • Exposure toscalable computing environments and best practices for secure, efficient AI deployment.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $44,000.00 to $130,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$44,000.00 - $185,000.00

Non-Metro New York state & Washington state:

$44,000.00 - $185,000.00

* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.


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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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