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Part Time Machine Learning Software Engineer Jobs

Censys

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

Leverage your experience in machine learning, data science, and software engineering to build various parts of the system, including components like: feature pipelines, training datasets, model ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Collaborate as part of a cross-functional Agile team to create and enhance software that enables ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Collaborate as part of a cross-functional Agile team to create and enhance software that enables ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

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

As of May 29, 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 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 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 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:
Part Time Machine Learning Software Engineer jobs near you

ML Software Engineer Intern - AI/CAD Integration

Falcomm

Atlanta, GA • On-site

Full-time, Part-time, Internship

Posted 19 days ago

Job description

Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.

We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.
Responsibilities

  • Design and implement code for training/serving ML models in chip design workflows
  • Automate creation of large datasets for training models
  • Integrate ML models into existing chip design software infrastructure
  • Write comprehensive tests and documentation
  • Collaborate with engineers to understand model requirements and deployment needs
  • Participate in code reviews and follow software engineering best practices
  • Research and evaluate new technologies for ML model serving and deployment

Requirements

  • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
  • Availability to work at least part-time starting in Fall 2026
  • Strong Python programming skills with experience in scripting and automation
  • Understanding of software engineering principles and code organization
  • Experience with data processing libraries (pandas, numpy, scipy)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Basic understanding of file I/O, data parsing, and format conversion
  • Experience with version control systems (Git) and collaborative development

Preferred Skills

  • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)
  • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)
  • Experience with shell scripting (bash) and command-line tools
  • Understanding of semiconductor design concepts
  • Familiarity with Linux environments
  • Experience with workflow automation and batch processing systems
  • Knowledge of data visualization tools (matplotlib, plotly) for design analysis
  • Understanding of software testing frameworks and debugging techniques

Benefits

  • Competitive Salary
  • Sick Leave
DISCLOSURE
  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.