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Machine Learning Sdet Jobs (NOW HIRING)

NAVA Software Solutions

SDET Engineer

Jersey City, NJ · On-site

NAVA Software solutions is looking for a SDET Engineer Role: Software Development Engineer in Test Location: Remote Duration: Full time/ Direct Hire What You Will Do: * As a technical, hands-on ...

Futran Tech Solutions Pvt. Ltd.

SDET

$51.25 - $66/hr

SDET Remote - Milwaukee, WI Full-time/Permanent Skills : JavaScript, UI, API, QA, XPath, CSS Path * As a technical, hands-on Senior Software Development Engineer in Test (SDET) your job is to ...

Merican

SDET Consultant

Chicago, IL · On-site

$51.50 - $66.50/hr

Senior Software Development Engineer in Test (SDET) Duration: 6-18 months Work Mode: Onsite Location: Chicago, IL Purpose We are seeking a Senior Software Development Engineer in Test (SDET) to ...

Automox

Sr. Software Development Engineer in Test (SDET)

$51.25 - $66/hr

They are seeking a seasoned Software Development Engineer in Test (SDET) who will own test strategy ... learning. e.g. we mostly use Python today; we may move to other languages in the future. • ...

Rootshell Enterprise Technologies, Inc.

SDET

$51.25 - $66/hr

We are actively seeking SDET for one of our client, Please share your resume with current location & full contact info Title-SDET Location-Remote Responsibilities: As a SDET in the Data Platforms and ...

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How much do machine learning sdet jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for machine learning sdet in the United States is $51.54, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $60.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning SDET, and why are they important?

To thrive as a Machine Learning SDET, you need a solid background in computer science, software testing, and machine learning concepts, typically supported by a degree in a related field. Familiarity with testing frameworks (like PyTest), CI/CD tools, version control systems, and experience with ML libraries such as TensorFlow or PyTorch are essential. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across teams and ensure model reliability. These skills are crucial for building robust testing processes that ensure the quality and reliability of machine learning systems in production.

How do Machine Learning SDETs typically collaborate with data scientists and software engineers during the development lifecycle?

Machine Learning SDETs (Software Development Engineers in Test) play a crucial role in bridging the gap between data science and engineering teams. They work closely with data scientists to understand model requirements and design effective test strategies for validating model performance and reliability. At the same time, they collaborate with software engineers to ensure seamless integration of ML models into production environments, often contributing to CI/CD pipelines and automated testing frameworks. This cross-functional collaboration ensures the delivery of robust, scalable, and high-quality ML solutions.

What is a Machine Learning SDET?

A Machine Learning SDET (Software Development Engineer in Test) is a specialized role that focuses on testing and ensuring the quality of machine learning models and systems. They design, develop, and maintain automated testing frameworks specifically for ML pipelines, validate data integrity, and verify that models perform as expected. ML SDETs work closely with both data scientists and software engineers to identify issues, improve model reliability, and streamline the deployment process. Their work is crucial to catching errors early and ensuring that AI-driven products are robust and reliable.

What is the difference between Machine Learning Sdet vs Data Scientist?

AspectMachine Learning SdetData Scientist
Required CredentialsBachelor's in CS, Software Testing certifications, ML knowledgeBachelor's/Master's in CS, Data Analysis, Statistics
Work EnvironmentTesting teams, ML development projects, QA focusData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, software testing rolesTech, finance, healthcare, research institutions

While both roles involve working with machine learning, a Machine Learning Sdet primarily focuses on testing and validating ML models to ensure quality and reliability. In contrast, a Data Scientist analyzes data, develops models, and derives insights. The roles overlap in ML knowledge but differ in their core responsibilities and work focus.

Software Development Engineer in Test, Swift Platform Experience

Software Development Engineer in Test, Swift Platform Experience

Apple

Cupertino, CA • On-site

$61.75 - $79.50/hr

Full-time

Posted 8 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Join Apple's Quality Engineering organization as a Software Development Engineer in Test (SDET) focused on Swift Intelligence Frameworks, with an emphasis on Foundation Models Framework and App Intents. In this role, you will be at the forefront of quality for the frameworks that empower millions of developers to create the next generation of intelligent applications. Testing artificial intelligence requires rethinking traditional quality assurance. We are looking for someone who is not just an expert in test automation and API testing, but who is genuinely excited and eager to pioneer new, creative approaches to testing non-deterministic AI features. You will collaborate closely with cross-functional teams to understand complex framework behaviors, design robust test strategies, and ensure seamless integration across Apple's entire ecosystem-including iOS, watchOS, macOS, and visionOS..
As an SDET, you will create and maintain sophisticated testing infrastructure that validates the reliability, performance, and inclusivity of Apple's most strategic developer frameworks. Your primary focus will be developing comprehensive, multi-platform test applications to evaluate in-development Swift APIs. Through this work, you will provide vital feedback that ensures developers can seamlessly integrate advanced machine learning capabilities into their apps. You will design and implement automated test suites covering functional, API, integration, and regression testing across all of Apple's platforms (iOS, macOS, tvOS, watchOS, and visionOS).
3+ years of experience in software testing, with a strong focus on test automation, API testing, and application development.Proficiency in the Swift programming language (including design patterns, generics, and Swift concurrency), or a strong programming foundation with the eagerness and ability to learn Swift quickly.Experience developing and testing for Apple platforms using Xcode, SwiftUI, XCTest, and XCUIAutomation.A deep curiosity and excitement for exploring novel approaches to testing Generative AI and machine learning features.Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Understanding of large language models (LLMs) and prompt engineering concepts as well as how to leverage them for tooling and development workflows.Experience testing machine learning frameworks or other complex, non-deterministic systems.Deep knowledge of developer tools, SDKs, or framework testing and validation methodologies.Familiarity with continuous integration (CI) systems and advanced build automation.Experience using Python for test automation, custom tooling, or machine learning pipelines.

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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