ZipRecruiter

Log In

1

Pattern Making Internship Jobs in California (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsPattern Making JobsPattern Making Internship JobsPattern Making Internship Jobs in California

Pattern Making Internship information

What is a pattern making internship?

A Pattern Making Internship is a training opportunity where aspiring fashion professionals learn how to create patterns for garments under the guidance of experienced pattern makers. Interns gain hands-on experience with drafting, cutting, and modifying patterns, which are the templates used to assemble clothing. This internship often involves working with both manual and digital tools, and offers exposure to the fashion design and production process. It's an essential step for those interested in a career in fashion design, garment construction, or technical design.

What are the typical responsibilities and learning opportunities for a pattern making intern?

As a Pattern Making Intern, you’ll assist senior pattern makers in drafting, modifying, and digitizing garment patterns, often using both manual and computer-aided design tools. You’ll likely attend fittings, help adjust patterns based on feedback, and work closely with designers and sample makers to ensure high-quality prototypes. This internship offers hands-on exposure to the full product development process, from initial sketches to finished samples, and is a great way to build technical skills while learning industry standards and workflows. Collaboration and communication with various departments, such as design and production, are common and provide valuable networking opportunities.

What are the key skills and qualifications needed to thrive as a pattern making intern, and why are they important?

To thrive as a Pattern Making Intern, you need a solid understanding of garment construction, basic sewing techniques, and familiarity with pattern drafting principles, often backed by coursework or a degree in fashion design. Proficiency with pattern making software like Gerber AccuMark or CLO 3D, along with experience using manual drafting tools, is highly valuable. Attention to detail, creativity, and effective communication are important soft skills for collaborating with design teams and interpreting creative briefs. These abilities ensure accurate pattern development, efficient workflow, and successful translation of designs into production-ready pieces.

What is the difference between Pattern Making Internship vs Pattern Designer?

AspectPattern Making InternshipPattern Designer
Required CredentialsBasic sewing skills, coursework in fashion design or pattern makingAdvanced knowledge of pattern drafting, fashion design degree or equivalent experience
Work EnvironmentInternship setting, supervised, entry-level tasksProfessional studio or fashion house, independent work, creative responsibilities
Industry UsageTraining role, learning phase in fashion industryFull-time role, responsible for creating patterns for collections

While a Pattern Making Internship provides hands-on training and foundational skills in pattern drafting, a Pattern Designer is a professional responsible for creating detailed patterns for garments. Internships are ideal for beginners, whereas Pattern Designers typically have more experience and advanced skills.

What are the most commonly searched types of Pattern Making jobs in California?

The most popular types of Pattern Making jobs in California are:

What cities in California are hiring for Pattern Making Internship jobs?

Cities in California with the most Pattern Making Internship job openings:

Pattern Making Internship jobs near you
Infographic showing various Pattern Making Internship job openings in California as of September 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Data Scientist - Fraud Detection

Mountain View, CA • On-site

DataVisor
Software Development • 1 - 10 employees
Learn more about DataVisorexternal

Full-time

Medical, PTO

Posted 18 days ago

Job description

About DataVisor:
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview:
We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilities:
  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
  • Collaborate with engineering and business teams to integrate ML models into production systems.
  • Continuously monitor model performance and refine algorithms to improve accuracy.
  • Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements
  • Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus.
  • Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
  • Experience with SQL and data manipulation/analysis in large datasets.
  • Strong problem-solving skills and patience for deep-dive data exploration.
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
  • Excellent communication skills and ability to work in a collaborative environment.

Nice to have
  • Familiarity with big data tools (Spark, Hadoop, Dask).
  • Knowledge of graph-based fraud detection techniques.
  • Experience with cloud platforms (AWS, GCP, Azure).

Benefits
PTO, Stock Option, Health Benefits

Apply