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Freelance Machine Learning Testing Jobs in California

Motorola

Machine Learning Engineer

Los Angeles, CA

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Apple

Machine Learning Engineer

Cupertino, CA

$212K - $318K/yr

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Conduct rigorous model evaluation, testing, and iteration to continuously improve model quality and ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

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Machine Learning Engineer

2T Consulting

Santa Clara, CA

Full-time

Posted 13 days ago

Job description

Overview

We are seeking a highly motivated Machine Learning Engineer to help build next-generation AI-powered search and generative experiences. In this role, you will leverage state-of-the-art machine learning techniques, large language models, and software engineering best practices to develop scalable solutions that enhance user experiences. You will work closely with cross-functional teams to design, deploy, evaluate, and optimize machine learning systems while contributing to a culture of technical excellence and innovation.

Key Responsibilities

  • Leverage and advance the latest developments in Machine Learning, Deep Learning, and Generative AI to deliver high-impact product features.

  • Design, develop, train, and deploy machine learning models for search relevance, ranking, query understanding, question answering, and generative experiences.

  • Build robust evaluation frameworks and metrics to accurately measure model quality, performance, calibration, and user impact.

  • Translate product requirements into machine learning solutions, modeling strategies, and engineering deliverables.

  • Collaborate with Infrastructure, Data Engineering, Product Management, Design, and Quality teams to develop innovative AI-driven features and exceptional search experiences.

  • Optimize model performance, scalability, reliability, and production deployment pipelines.

  • Conduct experiments, analyze results, and iterate on model improvements using data-driven methodologies.

  • Mentor junior engineers and applied scientists, fostering technical growth and promoting engineering best practices.

  • Contribute to the development of a high-performing, world-class AI and Machine Learning team.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Retrieval, or a related field, or equivalent practical experience.

  • 6+ years of industry experience developing and deploying machine learning solutions in collaborative environments.

  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

  • Strong understanding of machine learning model development, training, evaluation, and deployment.

  • Experience translating business and product requirements into machine learning and software engineering solutions.

  • Proficiency in at least two programming languages, including Python, C/C++, Java, or Go.

  • Strong software engineering fundamentals, including system design, testing, and scalable application development.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Experience with Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks.

  • Prior experience developing machine-learned models for search relevance, ranking, query understanding, recommendation systems, or question-answering applications.

  • Experience building and optimizing consumer-facing AI products at scale.

  • Familiarity with model evaluation, experimentation frameworks, A/B testing, and responsible AI practices.

  • Experience working in fast-paced, cross-functional product organizations.

Technical Skills

  • Machine Learning & Deep Learning

  • Generative AI and Large Language Models (LLMs)

  • Search Relevance and Information Retrieval

  • Query Understanding and Ranking Systems

  • PyTorch, TensorFlow, JAX

  • Python, Java, Go, C/C++

  • Model Training, Evaluation, and Deployment

  • Distributed Systems and Scalable ML Infrastructure

  • Data Analysis and Experimentation

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