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Knit Programmer Jobs in California (NOW HIRING)

About Knit Health Knit Health is building a novel clinical foundation model to improve the way ... Partner with Data Engineering to build scalable processing pipelines across structured and ...

Senior Data Scientist

San Francisco, CA ยท On-site

$140K - $175K/yr

... and Knit's clinical models into scientifically sound solutions that can be used in healthcare ... Partner with Data Engineering to build scalable processing pipelines across structured and ...

The position offers a blend of technical work, project oversight, and leadership within a close-knit engineering environment. Key Responsibilities: * Conduct and oversee geotechnical engineering ...

Sr. Full Stack Engineer

San Francisco, CA ยท On-site

$175K - $200K/yr

Collaborate with a close-knit engineering team to develop and launch new features quickly and efficiently. * Work alongside product managers and designers to scope, refine, and prioritize initiatives.

About Knit Health Knit Health is building a novel clinical foundation model to improve the way ... You do not need to be an engineer, but you should be tech-forward and effective working alongside ...

The Unity Engineer Role: We are looking for an experienced game engineer with strong C# and Unity ... studio: close-knit, with high ownership and flexibility. You're excited about the potential of ...

The Unity Engineer Role: We are looking for an experienced game engineer with strong C# and Unity ... studio: close-knit, with high ownership and flexibility. You're excited about the potential of ...

The Unity Engineer Role: We are looking for an experienced game engineer with strong C# and Unity ... studio: close-knit, with high ownership and flexibility. You're excited about the potential of ...

Mechanical Engineer

Menlo Park, CA ยท On-site

$200K - $300K/yr

About the Role Join a tight-knit engineering team building the integrated lab systems that scale our materials synthesis and characterization, alongside our frontier models, scientific data, and the ...

Mechanical Engineer

Menlo Park, CA ยท On-site

$200K - $300K/yr

About the Role Join a tight-knit engineering team building the integrated lab systems that scale our materials synthesis and characterization, alongside our frontier models, scientific data, and the ...

Senior Software Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

Role Overview: We're hiring a Software Engineer to join our tight-knit engineering team of four. In this high-impact and fast-paced role, you'll collaborate directly with our founders to build ...

Senior Software Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

Role Overview: We're hiring a Software Engineer to join our tight-knit engineering team of four. In this high-impact and fast-paced role, you'll collaborate directly with our founders to build ...

Be Seen First

Three or more years programming and setting up CNC equipment * You have written complete programs ... We're a lean, tight-knit team that takes pride in building quality parts without the corporate ...

CNC Programmer

El Cajon, CA ยท On-site

$39.25 - $48.07/hr

Title: CNC Programmer Shift: 1st Shift (6:30am - 3:00pm) Monday - Friday Facility & Location ... Joining Zenix Aerospace means not only a rewarding career with a tight-knit and collaborative team ...

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Showing results 1-20

Knit Programmer information

What is a knit programmer?

Knit Programmers are specialized professionals who create and modify programs for computerized knitting machines. They use software to design patterns, set machine parameters, and ensure that the final knitted products meet specific design and quality requirements. Their role bridges the gap between textile design and manufacturing technology, requiring both creative and technical skills. Knit Programmers often collaborate with designers, engineers, and production teams to optimize efficiency and innovate new textile products.

What are the key skills and qualifications needed to thrive as a knit programmer?

To thrive as a Knit Programmer, you need a solid understanding of textile manufacturing, pattern design, and knitting machine operations, often supported by a degree or diploma in textiles or garment technology. Familiarity with programming software such as M1plus, Shima Seiki SDS-ONE, or Stoll M1, as well as knowledge of CAD systems, is crucial. Attention to detail, problem-solving skills, and effective communication help ensure accurate pattern creation and collaboration with design teams. These skills are essential for producing high-quality knitwear efficiently and meeting both design and production requirements.

What are some common challenges a knit programmer faces when working with new yarns or patterns?

Knit Programmers often encounter challenges when working with unfamiliar yarns or introducing new patterns, such as ensuring stitch consistency and machine compatibility. Each yarn type may behave differently, affecting tension, elasticity, and final fabric appearance, which requires careful calibration and test runs. Additionally, translating complex design concepts into machine-readable code demands precision and troubleshooting skills to avoid errors. Close collaboration with designers and production teams is essential to achieve the desired results while meeting production deadlines.

What is the difference between Knit Programmer vs Knitting Machine Operator?

AspectKnit ProgrammerKnitting Machine Operator
Required CredentialsTechnical training, certifications in knitting softwareOn-the-job training, technical skills in machine operation
Work EnvironmentDesign studios, manufacturing facilities, software development settingsFactory floors, textile manufacturing plants
Employer & Industry UsageFashion, textile, apparel companies, software firmsTextile mills, garment factories, textile production
Common Search & Comparison IntentUnderstanding programming roles in knittingLearning about machine operation in textile production

The main difference between a Knit Programmer and a Knitting Machine Operator lies in their focus: Knit Programmers develop and modify knitting software and patterns, often working in design or tech environments. Knitting Machine Operators, on the other hand, operate and maintain knitting machines on the factory floor. Both roles are essential in textile manufacturing but require different skills and work settings.

What jobs can you do as a knit programmer?

A knit programmer typically works in the fashion or textile industry, designing and developing knitting patterns and machine programs for automated knitting machines. They may work in manufacturing, product development, or custom design environments, often requiring knowledge of knitting software and technical skills. Job roles can include pattern designer, machine programmer, or technical specialist in textile production.

What cities in California are hiring for Knit Programmer jobs?

Cities in California with the most Knit Programmer job openings:

Infographic showing various Knit Programmer job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution.

Senior Data Scientist

San Francisco, CA โ€ข On-site

Knit Health
Fitness and Sports Centersย โ€ขย 1 - 10 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

About Knit Health
Knit Health is building a novel clinical foundation model to improve the way healthcare is delivered. We combine expertise in AI with deep clinical knowledge to develop safe, trustworthy systems that improve care, expand access, and reduce waste. Knit is led by a founding team from the University of California Berkeley who have developed a novel AI architecture which learns to reason like physicians. We're now closing the loop and using our novel foundation model, together with frontier clinical LLMs, to build a next generation clinical intelligence platform for providers. We are venture backed and have partnered with multiple US-based health systems and data providers.
Why this role
The data science team is responsible for understanding provider needs and clinical workflows, then turning patient-level clinical data from EHRs and Knit's clinical models into scientifically sound solutions that can be used in healthcare settings.
This role matters because model performance alone is not enough. The solutions must reflect how clinical data is actually generated through care delivery, fit into complex provider workflows, address meaningful operational needs, and produce insights that clinicians and healthcare organizations can use.
As a senior member of a small data science team, this person will also help establish strong scientific and analytical practices while supporting the growth of junior team members.
What you'll do
You'll own complex clinical problems from discovery through deployment: working with provider partners and clinicians to understand care workflows, extracting and shaping patient-level EHR data, designing scientifically sound solutions using Knit's data and models, and evaluating and deploying tools that can be used in real healthcare settings.
Clinical Data & Scientific Analysis
  • Work directly with patient-level EHR data to understand clinical events, care pathways, and how care delivery is represented in the underlying data.
  • Extract, curate, clean, and integrate longitudinal clinical datasets from multiple health systems, turning messy real-world data into reliable inputs for analysis, modeling, and deployed applications.
  • Design and execute analyses that answer important questions about clinical data, model performance, and healthcare outcomes.
  • Develop reproducible methodologies for preparing, interpreting, and validating datasets used across the organization.
  • Work closely with clinicians and provider partners to ensure analyses and solutions accurately reflect clinical context and real-world care delivery.

Model Evaluation
  • Develop evaluation frameworks that measure how well models capture clinically meaningful reasoning and decision patterns.
  • Design experiments that help improve model quality, robustness, and real-world usefulness.
  • Translate model outputs into insights that are meaningful for both technical and clinical audiences.

Data Infrastructure
  • Partner with Data Engineering to build scalable processing pipelines across structured and unstructured healthcare data (EHR, claims, medical text, ECG, etc.).
  • Improve data quality, governance, reproducibility, and documentation.
  • Help shape scalable infrastructure supporting model development.

Collaboration & Leadership
  • Mentor and support junior data scientists through technical guidance and best practices.
  • Partner closely with engineering, product, and clinical teams to prioritize work and solve complex problems.
  • Help establish strong scientific and analytical practices as our team grows.

Minimum Qualifications
  • 4+ years of experience in data science, analytics, or machine learning.
  • Demonstrated experience working directly with patient-level EHR data, including an understanding of the clinical workflows and care processes that generate it, and experience extracting, transforming, analyzing, or modeling that data.
  • Experience partnering directly with clinicians, physicians, or provider organizations to translate clinical problems into analytical or machine learning solutions.
  • Experience building or owning data products, models, or analytical tools that were deployed into real-world clinical or operational workflows.
  • Strong proficiency in Python and SQL, with experience applying machine learning methods, including deep learning, and working with modern ML frameworks such as PyTorch or TensorFlow.
  • Strong communication skills with the ability to translate complex analyses into actionable insights for diverse audiences.
  • Proven track record of leading complex analytical or technical projects; experience mentoring other data scientists is preferred.

Nice-to-Haves
  • Experience working at an early-stage startup or in a fast-moving, ambiguous environment.
  • Experience developing evaluation frameworks for AI/ML models in healthcare.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and their data engineering services.
  • Experience applying natural language processing (NLP) to clinical or medical text.

You'll join a small, highly collaborative team where data scientists work directly with AI engineers, clinicians, and company leadership. This is an opportunity to help define how clinical foundation models are evaluated and deployed in real healthcare settings, with meaningful ownership over both technical direction and product impact from an early stage.
Salary Range
Knit Health offers a competitive compensation package that includes base salary, equity, and opportunities for advancement. The starting salary range for the Senior Data Scientist is approximately $140,000 to $175,000 per year.
Benefits
Generous benefits for full-time employees include: medical, dental, and vision coverage with 100% of premiums paid for employees and dependents (full coverage for dental, vision, and our Gold medical plan; employees may choose to buy up to Platinum); coverage begins on the first day of employment. Additional benefits include a 401(k) plan and 24 days of PTO annually.
Final Notes
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Knit Health is an equal opportunity employer and is committed to a diverse workplace. People from diverse racial, ethnic and cultural backgrounds, women, LGBTQ+ individuals, and persons with disabilities are highly encouraged to apply.