Machine Learning Process Engineer

Reposted 7 Days Ago
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Seremban, Negeri Sembilan, MYS
In-Office
1-2 Annually
Junior
Automotive • Cloud • Energy
The Role
The Process Engineer drives process optimization and continuous improvement initiatives using Lean Six Sigma methodologies to enhance manufacturing quality, cost, yield, and productivity.
Summary Generated by Built In

The Process Engineer is responsible for driving process optimization, operational excellence, and continuous improvement initiatives using Lean Six Sigma (LSS) methodologies. This role focuses on improving quality, cost, yield, cycle time, and productivity through structured problem solving, data analysis, and cross‑functional collaboration in a manufacturing environment

 

Responsibilities

Key Responsibilities

  • Yield & Defect Analysis: Develop and maintain ML models to identify root causes of package failures (e.g., wire sweep, voiding, or delamination) using sensor and metrology data.
  • CV for Automated Inspection: Enhance and deploy Computer Vision (CNN-based) models for Automated Optical Inspection (AOI) to reduce "False Calls" and "Escapes" on the production line.
  • Production Deployment: Transition models from local environments (Jupyter/Python) into the factory’s execution system using Docker and REST APIs.
  • Process Optimization: Use regression and reinforcement learning to suggest optimal machine parameters (e.g., bond force, temperature profiles) for new product introductions (NPI).
  • Data Engineering: Build and manage data pipelines that ingest high-frequency sensor data from packaging equipment (e.g., Die Attach, Wire Bonders) via SECS/GEM or MQTT protocols.A/B Testing & Monitoring: Design experiments to validate model performance on the shop floor and monitor for "model drift" as machine parts wear down over time.
    Required Technical Skills
  • Core ML: 2+ years of experience with Python (Scikit-Learn, XGBoost, Pandas) and Deep Learning frameworks (PyTorch or TensorFlow).
  • Statistical Foundation: Strong grasp of Statistical Process Control (SPC), DOE (Design of Experiments), and Hypothesis Testing.
  • Software Engineering: Proficiency with Git, SQL, and Docker. Experience with CI/CD pipelines is a major plus.
  • Domain Tools: Familiarity with semiconductor data formats (STDF, ATDF) and visualization tools like Tableau, PowerBI

Qualifications
  • Minimum Qualifications

    • Bachelor’s or Master’s in Electrical Engineering, Computer Science, or Data Science.
    • 2+ years of professional experience in a manufacturing or hardware-centric environment (Semiconductor, Electronics, or Automotive).
    • Proven ability to explain ML metrics (Precision, Recall, F1-score) in terms of Business Value (Cost savings, Yield improvement).

About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

Skills Required

  • Bachelor's Degree in Engineering or related technical field
  • Minimum 1 - 2 years of relevant process engineering or manufacturing experience
  • Lean Six Sigma Green Belt
  • Strong experience in process improvement and statistical data analysis
  • Hands-on experience using quality and improvement tools such as SPC, DOE, FMEA, Pareto, Fishbone
  • Proficient in data analysis software like Minitab, Excel, or equivalent

onsemi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about onsemi and has not been reviewed or approved by onsemi.

  • Retirement Support Retirement programs are highlighted by a U.S. 401(k) with a 100% match on the first 4% and immediate vesting. International plans such as Ireland’s defined contribution scheme and Germany’s company-funded pension elements reinforce long-term savings.
  • Leave & Time Off Breadth Time-off policies include ten paid holidays, flexible vacation for exempt employees, and three to five weeks of vacation for non-exempt staff as tenure grows, alongside sick time accrual. Paid leaves span parental, bereavement, jury duty, and military service, with Europe locations offering additional statutory and seniority-based days.
  • Parental & Family Support Family supports include eight weeks of paid parental leave, company-sponsored backup care for children, adults, and pets, and up to $15,000 in adoption assistance. Regional provisions such as Switzerland’s child allowance and accessible EAP counseling show added attention to household needs.

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The Company
HQ: Phoenix, AZ
11,712 Employees

What We Do

We are building a better future through intelligent technology. For over 60 years, onsemi and its ancestors have been leading the world’s greatest technology advancements. onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

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