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Part Time Data Scientist Machine Learning Jobs in Santa Clara, CA

AI Researcher II (Intern) - United States

San Jose, CA · On-site +1

$17.50 - $23.50/hr

Develop scalable data curation and processing methods that improve model training and task-specific ... Science, Machine Learning, Mathematics, Statistics, Physics,Engineeringor a related field.or a ...

AI Researcher II (Intern) - United States

Milpitas, CA · On-site +1

$17.50 - $23.25/hr

Develop scalable data curation and processing methods that improve model training and task-specific ... Science, Machine Learning, Mathematics, Statistics, Physics,Engineeringor a related field.or a ...

... clean data pipelines for machine learning and behavioral cloning models. * Physical Skill ... Open to part-time or full-time configurations (3 to 5 days a week) tailored to your skill ...

Showing results 21-40

Part Time Data Scientist Machine Learning information

See Santa Clara, CA salary details

$44K

$144.1K

$230.8K

How much do part time data scientist machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for part time data scientist machine learning in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 per year, depending on experience, location, and employer.

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.

What are the key skills and qualifications needed to thrive as a part time data scientist machine learning?

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

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

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

What cities near Santa Clara, CA are hiring for Part Time Data Scientist Machine Learning jobs?

Cities near Santa Clara, CA with the most Part Time Data Scientist Machine Learning job openings:

AI Researcher II (Intern) - United States

Cisco

San Jose, CA • On-site, Remote

$17.50 - $23.50/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

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

Meet the Team

At Foundation AI, we are leading frontier AI research across Cisco. Our mission is to advance the state of AI. We translate that research into purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques that solve real-world problems at scale.

We explore new model architectures, pre-training and post-training methods, inference optimization, evaluation techniques, and data pipelines. Together, we are advancing AI at Cisco and for the broader AI community!

Your Impact

As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and enterprise-scale AI applications. We are looking for researchers who will help translate frontier research into practical systems by designing experiments, developing new methods, and turning research insights into impactful, scalable AI solutions.

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive improvements to training algorithms, curate and optimize data at scale, and design infrastructure needed to train purpose-built models that can compete with frontier models on specific tasks aligned with Cisco's business priorities and Foundation AI's research agenda.

We place a strong emphasis on publishing research and contributing meaningfully to the AI community. In this role, you willwritescientific articles for top-tier machine learning and AI conferences, publish technical blog posts, and contribute to the open-source AI community!

In this role, you will:

  • Develop scalable data curation and processing methods that improve model training and task-specific performance.

  • Build production-ready AI systems using strong software engineering practices.

  • Optimizelarge language models and agentic systems for enterprise and security-focused use cases.

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, Machine Learning, Mathematics, Statistics, Physics,Engineeringor a related field.or a relatedfield ora related field.

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

  • Strong experience with Python,PyTorch, production-grade software engineering practices, and common AI/ML libraries

  • Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization

  • Strong understanding of data pipelines, model experimentation, and scalable AI system design

  • Strong communicationskills, with the ability to explain complex research and engineering concepts to cross-functional partners

Preferred Qualifications

  • Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training, evaluation, inference, and deployment

  • Experience deploying high-performance inference engines such asvLLM, NVIDIA Triton, orTorchServe, and working with cloud-native deployment, Docker, Kubernetes,MLOpspipelines, and major cloud platforms such as AWS, GCP, or Azure

  • Demonstrated history of publishing research in top-tier AI/ML conferences such asNeurIPS, ICML, ICLR, or ACL, or contributing to significant open-source AI projects

  • Experience designing and scaling agentic AI workflows, multi-agent frameworks, and autonomous AI systems

  • Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and robust machine learning

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:

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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