Engineer Jobs in Redford, MI

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1mo ago

Senior Data Engineer

Ford Motor Company Redford, MI

Redford, MI

1mo ago Closed

$85k - $193k/yr Full time Senior Cloud Operations Data Analysis

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

The Senior Data Engineer role at Ford Motor Company in Redford, MI (hybrid) focuses on guiding the end-to-end data science lifecycle within manufacturing. The position involves designing machine learning models and scalable data pipelines, with strong cross-functional collaboration and technical leadership.

Overview

Location: Redford, MI, hybrid work arrangement. Compensation: USD 85,400 to 192,900 per year. Employment type: Full time; Work type: Hybrid. Education requirements include a bachelor's or foreign equivalent in computer science, information technology, or a technology-related field, plus a Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. An advanced degree such as a PhD in a relevant field is also specified. Minimum experience required: 5 years.

Responsibilities

Model Development: Design and implement advanced machine learning models for predictive maintenance, anomaly detection, and computer vision-based quality control.
End-to-End Pipeline Construction: Architect data pipelines from ingestion of sensor data and PLC logs to model deployment and monitoring using GCP and Python.
Statistical Analysis: Apply rigorous statistical methods to uncover patterns in manufacturing data that correlate with vehicle quality or equipment downtime.
Cross-Functional Collaboration: Partner with Product and Engineering teams to translate manufacturing challenges into technical requirements and deliver user-centric data products.
Technical Leadership: Serve as a subject matter expert within ATP, conduct code reviews, mentor junior scientists, and stay at the forefront of AI and ML research in industrial applications.
Scalability: Optimize models for production environments, advancing from localized pilots to global plant-wide deployments.
Data Strategy: Collaborate with data engineering to improve data collection protocols and sensor telemetry quality from the plant floor.

Requirements

Education: Bachelor’s degree or foreign equivalent in computer science, information technology, or a technology-related field; Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field; Advanced degree: PhD in a relevant field.
Experience: 5+ years of professional experience in a Data Science role with a proven track record of deploying models into production.
Technical Proficiency: Strong Python skills; proficiency in R and SQL is highly valued.
Machine Learning Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, and LightGBM.
Cloud Experience: Google Cloud Platform including Vertex AI, BigQuery, Dataflow.
Domain Knowledge: Time-series analysis, industrial IoT data, or manufacturing quality systems.
Deep Learning: Experience with Computer Vision (CNNs) for automated inspection or Transformers for complex sequence modeling in sensor data.
MLOps: Familiarity with CI/CD for machine learning, containerization (Docker/Kubernetes), and model monitoring tools.
Communication: Ability to explain complex mathematical concepts to non-technical stakeholders such as plant managers and design leads.
Problem-Solving: A product-first mindset focusing on business impact of the model beyond mere accuracy metrics.

Technologies

Programming and analytics: Python, R, SQL
ML frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM
Cloud and data tools: Google Cloud Platform (Vertex AI, BigQuery, Dataflow)
DevOps and containers: Docker, Kubernetes

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members, along with management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous holidays including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

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