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Apprentice Machine Learning Testing Jobs in Santa Clara, CA

Machine Learning Video Processing Engineer

Cupertino, CA

$129K - $194K/yr

  • Medical

  • Dental

  • Retirement

... testing/validation. - Investigate the latest learning-based low-level vision technologies and tasks. Preferred Qualifications Experience with performance (power and speed) optimization: GPGPU SIMD ...

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$195K - $264K/yr

  • Medical

  • Dental

  • Life

  • Retirement

ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ... Apply CI/CD principles including automated testing, model validation, and deployment strategies ...

Machine Learning Engineer

San Jose, CA · On-site

$62K - $100K/yr

Develop and implement comprehensive testing protocols, including smoke tests and unit tests, to ensure solution reliability. * Support the debugging process and issue triage to maintain solution ...

Senior Machine Learning Scientist

San Jose, CA · On-site

$187 - $262/hr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Apply causal inference and experimental design (A/B testing) to accurately measure impact and guide ...

Senior Machine Learning Scientist

San Jose, CA

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Apply causal inference and experimental design (A/B testing) to accurately measure impact and guide ...

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a ... Important skills include data wrangling, feature engineering, developing models, and testing ...

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching ... Experience designing and analyzing offline and online evaluations, including A/B testing and ...

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a ... Important skills include data wrangling, feature engineering, developing models, and testing ...

Showing results 21-40

Apprentice Machine Learning Testing information

See Santa Clara, CA salary details

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How much do apprentice machine learning testing jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for apprentice machine learning testing in Santa Clara, CA is $22.74, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $24.86 per hour, depending on experience, location, and employer.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Santa Clara, CA?

For Apprentice Machine Learning Testing jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Santa Clara, CA look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Apprentice Machine Learning Testing jobs?

Cities near Santa Clara, CA with the most Apprentice Machine Learning Testing job openings:

Infographic showing various Apprentice Machine Learning Testing job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,292 per year, or $22.7 per hour.

Director, Machine Learning - User Value

Unity Technologies

Mountain View, CA • On-site

$250K - $325K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Job description

The opportunity
Unity Vector represents the next generation of our AI-powered advertising ecosystem-a forward-looking evolution of our machine learning infrastructure and models. We are seeking a visionary Director of Machine Learning to lead our User Value team, a group at the heart of Unity's ambitious machine learning modeling initiatives.
As a leader, you will bridge the gap between complex machine learning paradigms and core product strategy. You will manage and scale a high-performing organization of scientists and ML engineers, ensuring our models translate into high-value user acquisition for advertisers.
What You'll Do
  • Shape the ML Vision: Define 1-3 year technical roadmap for user value modeling, aligning algorithmic capabilities with product and business growth goals.
  • Lead and Scale Teams: Mentor, recruit, and retain a team of applied scientists and machine learning engineers. Foster a culture of technical excellence, continuous learning, and rapid experimentation.
  • Drive Product Impact: Partner closely with leadership in Product, Design, and Data Science to identify new opportunities where ML can solve customer pain points and unlock tangible value.
  • Advance the Technical Stack: Oversee the development, deployment, and maintenance of scalable ML systems-spanning personalization, content recommendation, multi-task learning, reinforcement learning, and large language model (LLM) integration-ensuring high availability and low latency.
  • Balance Innovation and Execution: Establish rigorous frameworks for A/B testing, model evaluation, and guardrails to ensure algorithmic changes measurably improve customer trust and retention without introducing regression.

What We're Looking For
  • Proven Leadership: 8+ years of experience in machine learning and software engineering, with 4+ years of experience managing teams
  • Domain Expertise: A strong track record of shipping ML systems at scale, specifically in areas like personalization, recommendation system, information retrieval, or behavioral modeling.
  • Product-Minded Engineering: A deep understanding of how technical ML metrics (e.g., accuracy, NDCG, precision-recall) connect to macro user and business metrics (e.g., retention, lifetime value).
  • Strategic Communication: Ability to articulate complex technical concepts clearly to non-technical executives and cross-functional partners.
  • Technical Foundations: An advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

Gross pay annually, Mountain View, SF/Bay: $250,300 - $325,400
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.
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