Role SummaryRivian is seeking an innovative engineer who combines expertise in AI/ML with a passion for quality and manufacturing excellence in the Body Assembly area. This role is crucial in driving our digital transformation initiatives through the development and implementation of AI-powered solutions.
The position offers the opportunity to revolutionize our manufacturing processes using cutting-edge AI technologies while working closely with quality teams to enhance systems, tools, and customer relationships. The opening is located at our Normal, IL facility and reports directly to the Process Engineering Manager. Shift Flexibility is required for these engineers
Responsibilities- Process Optimization & Modeling: Apply fundamental process engineering principles and advanced statistical methods, including ML/AI algorithms, to analyze manufacturing data (e.g., End of line test data, sensor data, press data, LVDT data, historical trends, operational logs).
- Develop and implement predictive models for key performance indicators (KPIs) such as yield, throughput and equipment downtime.
- Data Strategy & Management: Collaborate with IT and operations teams to establish data pipelines, ensuring data quality, accessibility, and integrity for ML model training and deployment. Utilize data collected by Rivian's MES database system for model training.
- Model Development & Deployment: Design, train, validate, and deploy robust ML models (e.g., classification, regression, time-series forecasting) for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
- Document model methodologies, deployment procedures, and process changes. Present complex findings and recommendations clearly to technical and non-technical stakeholders.
Qualifications- Education: Bachelor's degree in Electrical engineering, Computer Engineering, Computer Science, Data Science, Statistics or other related engineering degree.
- 3-5+ years of experience in a process or manufacturing engineering role, specifically applying Machine Learning, data science, or advanced statistical modeling in an industrial setting.
- Technical Skills:
- Programming: High proficiency in Python or R
- Data & Databases: Strong SQL skills and experience working with time-series databases (e.g., OSIsoft PI, InfluxDB) or cloud data platforms (e.g., Azure, AWS, GCP), high proficiency in Hex/Databricks for custom dashboards designing.
- Statistical/ML Proficiency: Expertise in statistical analysis, multivariate analysis, regression, and various ML algorithms.
- Experience in using 2D & 3D Modeling tools (AutoCAD, CATIA/ENOVIA)
- Experience and/or Knowledge in DOE, Geometric Dimensioning & Tolerance, Torque Tooling, Error Proofing, and PFMEA
- Experience and/or certification in Six Sigma DMAIC (optional), Lean Assembly Principles, Time Studies using MTM or MODAPTS
- Strong verbal and written communication skills
- Demonstrated strong analytical and problem-solving skills
- Ability to work in teams and collaborate effectively with people in different functions
- Ability to take the initiative and drive for results
- Strong time management skills that enable on-time project delivery
Pay DisclosureThe salary range for this role is $98,500-$123,100 for Illinois based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
The successful candidate may be eligible for annual performance bonus and equity awards.
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.
You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than November 16th,2026.
Please note that we are currently not accepting applications from third party application services. 
