2 дня назад
Principal AI / Machine Learning Engineer (Manufacturing)
141 000 - 188 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI / Machine Learning Engineer (Manufacturing): Defining and executing the AI/ML roadmap for high-volume manufacturing, including predictive analytics, advanced inspection, and risk analysis with an accent on manufacturing data, statistical methods, and production integration. Focus on building AI/ML-enabled solutions, analyzing metrology and quality datasets, driving factory transformation, and converting predictive insights into proactive process controls.
Location: Secaucus, New Jersey, United States. Full-time, onsite role.
Salary: $141,000–$188,000 annually, plus potential bonus and benefits.
Company
, a Sanmina Company, designs, builds, and delivers technology infrastructure and manufacturing solutions for global customers.
What you will do
- Define and execute the AI/ML adoption roadmap across manufacturing operations.
- Identify, evaluate, and prioritize use cases in manufacturing risk analysis, quality, continuous improvement, automation, metrology, inspection, and predictive analytics.
- Lead the design, development, deployment, and adoption of AI/ML solutions across factories.
- Analyze metrology, vision inspection, event, test, and quality data using regression, correlation, commonality, and other statistical methods.
- Use predictive analytics to support PFMEA and develop proactive process controls that improve yield, reliability, throughput, and process robustness.
- Partner with industrial engineering, factory engineering, quality, IT, design, manufacturing, test, and supplier engineering teams while coaching technical stakeholders.
Requirements
- Advanced degree in engineering, computer science, data science, or a related field.
- 10–15 years of experience in high-volume, complex manufacturing, including at least 5 years in leadership or transformation roles.
- Expertise in regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.
- Advanced experience with Minitab, JMP, Python, R, SQL, or equivalent data-driven tools.
- Experience applying AI/ML to statistical problem-solving, predictive analytics, anomaly detection, and manufacturing data.
- Background in electronics assembly, PCBA, servers, or another high-reliability industry, with strong communication and stakeholder influence skills.
Nice to have
- MBA or exposure to business, finance, or economics.
- Experience with continuous improvement or lean programs.
Culture & Benefits
- Collaborative, inclusive workplace focused on learning, innovation, and continuous improvement.
- Performance-based annual bonus eligibility and competitive compensation.
- 401(k) retirement savings plan with a generous company match and tuition reimbursement.
- Medical, dental, vision, life, disability, mental health, and wellness benefits.
- Paid time off, company-paid holidays, parental leave, and family care support.
- Structured training, on-the-job learning, matching gifts, and volunteer programs.
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