Machine Learning R&D Co-Op
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
This Machine Learning R&D Co-Op position involves participating in data architecture, designing experiments, and developing AI/ML models for diagnostics and prognostics. The role requires collaboration with R&D and data science teams, strong analytical skills, and enrollment in a relevant Bachelor's degree program.
Responsibilities
- Participate in the architecture of data collection, organization, and analysis from various sources including manufacturing and global service partners for AI/ML based diagnostics and prognostics R&D.
- Design, plan, and conduct lab experiments to generate high-quality data for evaluating, validating, and improving AI/ML models for diagnostics and prognostics research.
- Work with R&D and data science teams to perform exploration data analysis, identifying trends and features.
- Help plan & roadmap new features and functionality.
- Work in a multi-disciplinary agile team supporting research, data science, and prognostics teams in developing and improving AI/ML models.
- Document and present progress/results to the data science and prognostics teams as well as other stakeholders.
- Assist with other project activities as assigned.
Requirements
- Enrollment in a Bachelor's degree program in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related engineering/science field.
- Experience with Python, Matlab, LabView or similar technical computing language.
- Ability to work in a laboratory environment and follow structured experimental procedures.
- Strong analytical, problem-solving, documentation, and communication skills.
Desired Qualifications
- Junior or higher class standing.
- Cumulative GPA of 2.5 or higher.
- Experience with Python-based data science and machine learning tools such as NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar libraries.
- Familiarity with time-series data, sensor data, signal processing, filtering, feature extraction, or frequency-domain analysis.
- Exposure to machine learning methods such as classification, regression, anomaly detection, clustering, neural networks, or probabilistic models.
- Experience designing or supporting lab experiments, test plans, data acquisition, or Design of Experiments.
- Interest in diagnostics, prognostics, predictive maintenance, reliability engineering, or condition-based monitoring.
- Ability to connect experimental observations with physical system behavior and communicate findings clearly to both technical and non-technical audiences.
- Experience with data visualization, technical reporting, dashboards, or database/storage tools is a plus.
Benefits
- Hands-on experience, professional development, and networking opportunities in a well-established and structured co-op program.
- Access to on-site cafeterias, fitness facilities, employee resource groups, recognition, and much more.
#Machine Learning#R&D#Co-Op#Data Science#AI
Company
Emerson
Job Posted
2 days ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Student
Locations
Marshalltown, United States
Qualification
Bachelor, Undergraduate
Applicants
Be an early applicant