Sr. Process Engineer, R1 Body AI/ML

Rivian•Normal, IL

7h•Onsite

About The Position

Rivian 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 drives digital transformation initiatives by developing and implementing AI-powered solutions and applying cutting-edge AI technologies to manufacturing processes. The engineer works closely with quality teams to enhance systems, tools, and customer relationships. The position is based at Rivian’s Normal, Illinois facility, reports to the Process Engineering Manager, and requires shift flexibility.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Statistics, or another related engineering field.
3–5+ years of experience in process or manufacturing engineering, applying machine learning, data science, or advanced statistical modeling in an industrial setting.
High proficiency in Python or R.
Strong SQL skills and experience with time-series databases such as OSIsoft PI or InfluxDB, or cloud data platforms such as Azure, AWS, or GCP.
High proficiency in Hex or Databricks for designing custom dashboards.
Expertise in statistical analysis, multivariate analysis, regression, and various machine-learning algorithms.
Experience using 2D and 3D modeling tools such as AutoCAD and CATIA/ENOVIA.
Experience and/or knowledge in DOE, Geometric Dimensioning & Tolerance, torque tooling, error proofing, and PFMEA.
Strong verbal and written communication skills.
Strong analytical and problem-solving skills.
Ability to work in teams and collaborate effectively across functions.
Ability to take initiative and drive results.
Strong time-management skills that support on-time project delivery.

Nice To Haves

Six Sigma DMAIC experience or certification; optional.
Experience with Lean Assembly Principles.
Experience conducting time studies using MTM or MODAPTS.

Responsibilities

Apply process engineering principles and advanced statistical methods, including machine-learning and AI algorithms, to analyze manufacturing data such as end-of-line test, sensor, press, LVDT, historical-trend, and operational-log data.
Develop and implement predictive models for KPIs such as yield, throughput, and equipment downtime.
Collaborate with IT and operations teams to establish data pipelines and ensure data quality, accessibility, and integrity for model training and deployment.
Use data collected by Rivian’s MES database system for model training.
Design, train, validate, and deploy machine-learning models for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
Document model methodologies, deployment procedures, and process changes.
Present findings and recommendations clearly to technical and non-technical stakeholders.

Benefits

Paid vacation.
Paid sick leave.
Life insurance.
Medical insurance.
Dental insurance.
Vision insurance.
Short-term disability insurance.
Long-term disability insurance.
Potential eligibility to participate in Rivian’s 401(k) Plan.
Potential eligibility to participate in Rivian’s Employee Stock Purchase Program.
May be eligible for an annual performance bonus and equity awards.