1,101 jobs for "Machine Learning Engineering Lead"

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Apple's innovative Reliability Engineering team is looking for talents join us working with MacBook development groups.

Description
You'll be responsible for leading and executing reliability tests on new Apple and supplier technologies, development of new test procedures to quantify the reliability of a design, and drive continuous product improvements.","responsibilities":"Guide design and collaborate with cross-functional teams to enhance product reliability
Perform statistical analysis to evaluate designs and deliver data-driven risk assessments
Present test plans, results, and risk insights clearly to management and executives
Develop reliability test procedures, specifications, and comprehensive test plans
Research new technologies to identify failure mechanisms and potential failure modes
Partner with vendors and labs to conduct validation, testing, and failure analysis
Prioritize tasks to meet deadlines and provide design input for reliability improvement
Communicate technical findings effectively across diverse teams

Preferred Qualifications
Bachelor's degree or higher in Materials Science, Mechanical Engineering, Electrical Engineering, or a related field
3+ years of experience in the consumer electronics industry
Fresh graduates with strong machine learning exposure in those majors are welcome
Experience with statistical analysis tools and models such as Weibull analysis, JMP, or accelerated life testing
Hands-on experience with dynamic characterization techniques
Familiarity with failure analysis tools including optical microscopy, X-ray/CT, SEM/EDS, and FTIR
Experience with programming or scripting (e.g., Python, MATLAB) for test automation, large-scale data processing, or statistical analysis is a plus

Minimum Qualifications
Hands-on experience with reliability testing, including mechanical stress and environmental testing
Familiarity with industry test standards such as JEDEC, ASTM, and IEEE
Experience applying Design of Experiments (DOE) methodologies
Experience conducting Failure Modes and Effects Analysis (FMEA)
Proven ability to manage multiple projects in parallel
Strong troubleshooting capability and the ability to execute testing independently
Excellent attention to detail and strong analytical problem-solving skills
Experience applying structured failure analysis methodologies to identify root causes
Solid understanding of mechanical assemblies and system-level interactions
Demonstrated ability to quickly learn new technologies, tools, and test methods
Strong written and verbal communication skills in English and Chinese

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Industry: Technology

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