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Machine Learning Qa Jobs in California (NOW HIRING)

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

The Machine Learning team is a central player in the Poshmark organization. Our mission is to build ... Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML ...

Western CNC

Quality Assurance Manager

Vista, CA · On-site

$90K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are a fast pace, large CNC machine shop looking for a Quality Assurance Manager 25+ Fanuc controlled vertical mills 16+ controlled horizontal mills 10+ CNC lathes with Fanuc controls 10+ Brother ...

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$120 - $150/hr

The Machine Learning team is a central player in the Poshmark organization. Our mission is to build ... Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML ...

Alcon3Pl

Machine Operator / QA - 1st Shift

Hayward, CA · On-site

$24 - $25/hr

Machine Operator / QA - 1st Shift Lobos Staffing is hiring an experienced Machine Operator with a strong Quality Assurance background. Schedule: Monday-Friday, 6:00 AM-2:30 PM Pay: $24-$25/hour ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

... quality user experience. Specific duties include: * Research, design, and implement machine ... Develop, test, and modify computer programs to apply machine learning models to real-world ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Train, and deploy machine learning models in production environments ... Work with senior team members to develop enterprise quality ML systems, spanning multiple ML ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Train, and deploy machine learning models in production environments ... Work with senior team members to develop enterprise quality ML systems, spanning multiple ML ...

Meta

Quality Assurance Engineering Lead

Burlingame, CA · On-site

$163K - $224K/yr

In this role, you will define and lead quality assurance frameworks, establish testing ... machine learning tools to accelerate test generation, defect classification, or coverage gap ...

General Atomics

Machine Learning Engineer IV

Poway, CA · On-site

... machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives ... Establish coding standards, documentation practices, and quality assurance processes for AI/ML ...

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All JobsMachine Learning Qa JobsMachine Learning Qa Jobs in California

Machine Learning Qa information

See California salary details

$14

$44

$63

How much do machine learning qa jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning qa in California is $44.29, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $53.85 per hour, depending on experience, location, and employer.

What is a machine learning QA?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

What does a machine learning QA do?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What skills and qualifications are needed for a machine learning QA?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What are popular job titles related to Machine Learning Qa jobs in California?

For Machine Learning Qa jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Qa jobs in California look for?

The top searched job categories for Machine Learning Qa jobs in California are:

What cities in California are hiring for Machine Learning Qa jobs?

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Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,115 per year, or $44.3 per hour.

Sr. Engineer, Machine Learning

Poshmark

Redwood City, CA • On-site

$127K - $175K/yr

Other

Re-posted 13 days ago

Job description

About Poshmark
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
Responsibilities:
  • Manage the entire ML lifecycle from data collection to deployment and monitoring
  • Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models
  • Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale
  • Manage and support current solutions while evolving them to incorporate newer technologies
  • Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner
  • Stay updated with the latest developments in data science and machine learning

Desired Skills & Experience:
  • 4+ years of experience applying Machine Learning to concrete problems at large scale
  • Bachelors or Masters in Computer Science, Statistics, or related field
  • Strong CS fundamentals. Should be able to write algorithms with ease.
  • Solid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
  • Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
  • Should have excellent understanding of ML lifecycle
  • Good understanding of system architecture. Have knowledge of big data technologies - streaming architecture, data pipelines, etc.
  • Experience with Python, SQL, Java or Scala
Good to Have:
  • Big data systems - Spark, EMR, S3, AirFlow
  • Production experience with LLMs and prompt engineering
  • Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs

Our Techstack:
  • Pytorch, Tensorflow, Sklearn
  • Flask, Fastapi, Gunicorn, Quarkus
  • MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog
  • Docker, Kubernetes, Jenkins
  • Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus

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