Job description

This position requires a self-motivated individual with strong technical, problem solving and communication skills, and the willingness to work in a sophisticated environment. Responsibilities include scripting, parsing data, and working closely with the annotation operations team. Analyzing annotations and test results to ensure the features work end-to-end for customers. Developing and implementing workflow projects, regression testing, and bug filing. You will work closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies. You should be able to be comfortable with ambiguity and make educated, critical judgments. You must be effective and systematic at managing priorities, and communicating progress as well as risk through regular status updates. Have a proven ability to ramp up quickly on both existing and new technologies. At least 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning. Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques. Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI. Proficient in Python and/or Swift or comparable languages. Preparing and collecting data for evaluation and ensuring data quality. Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward. Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward. Prototyping and tools development experience. Strong presentation skills and ability to adapt technical presentation to various audiences. Proficiency in utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency. Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience. Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus. Understanding of SQA methodologies and practices, software engineering experience preferred. iOS and macOS familiarity.

Requirements

Must-haves

At least 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning.
Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques.
Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.
Proficient in Python and/or Swift or comparable languages.
Preparing and collecting data for evaluation and ensuring data quality.
Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.
Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward.
Prototyping and tools development experience.
Strong presentation skills and ability to adapt technical presentation to various audiences.
Proficiency in utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency.
Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.
Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus.
iOS and macOS familiarity.

Nice-to-haves

Understanding of SQA methodologies and practices, software engineering experience preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonswift

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

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