Audio Speech Machine Learning Jobs Near Me

Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship. This position is not eligible for visa sponsorship.

Overview : 

• Bachelor's degree in Engineering, Computer Science, Electrical Engineering, Controls Engineering, Systems Engineering, Data Science, or related technical field. 
• Minimum 2+ years of experience in manufacturing automation, computer vision, machine learning, industrial IoT, or related technical environments within the automotive or manufacturing industry. 
• This position is focused on supporting the development, testing, and deployment of innovative digital manufacturing solutions that improve production efficiency, product quality, and operational safety across manufacturing environments. 
• The role involves collaborating closely with plant floor teams and multidisciplinary stakeholders to identify manufacturing challenges and implement reliable technology solutions using computer vision, machine learning, sensor analysis, and industrial automation systems. 
• The engineer will contribute to proof-of-concept development, IoT strategy execution, and deployment of scalable industrial digitalization initiatives while supporting continuous improvement and operational excellence objectives. 
• The position requires strong technical curiosity, hands-on problem-solving capabilities, understanding of industrial systems, and the ability to support emerging technology initiatives in fast-paced manufacturing environments. 

Key Responsibilities :

Computer Vision & Digital Solution Development 

• Support the design, development, testing, and deployment of computer vision inspection systems and industrial IoT solutions 
• Develop and implement vision-based technologies for manufacturing quality inspection and process improvement initiatives 
• Support machine learning and data analysis activities using machine and sensor data 
• Contribute to proof-of-technology and proof-of-concept initiatives for digital manufacturing applications 
• Monitor emerging technologies and evaluate their potential application within manufacturing operations 

Manufacturing & Plant Floor Collaboration 

• Collaborate directly with plant floor teams to identify manufacturing challenges and improvement opportunities 
• Analyze customer and operational needs and align them with digital technology solutions 
• Support implementation of reliable and scalable solutions that improve manufacturing performance, quality, and safety 
• Work cross-functionally with engineering, operations, maintenance, and manufacturing stakeholders 
• Support issue resolution and continuous improvement initiatives within production environments 

Industrial Automation & Controls Support 

• Support integration and interaction between vision systems, machine controls, and industrial equipment 
• Work with manufacturing equipment controls and PLC systems such as Mitsubishi, Rockwell, Siemens, and/or Omron 
• Assist with data extraction, interpretation, and analysis related to machine health, equipment performance, and product quality 
• Support industrial automation and connected manufacturing initiatives across production environments 

Machine Learning & Data Analysis 

• Support analytical processes and machine learning applications within industrial IoT initiatives 
• Assist with sensor data analysis including vibration, audio, and current signature analysis 
• Support predictive maintenance and operational monitoring concepts through data-driven methodologies 
• Contribute to continuous improvement of machine learning models and digital solution performance 

Technical Innovation & Strategy Support 

• Contribute to execution of IoT and digital manufacturing strategies and roadmaps 
• Maintain awareness of new technologies and industry trends related to industrial automation, AI, and manufacturing innovation 
• Support technical discussions, concept evaluations, and implementation planning activities 
• Promote reliable, sustainable, and scalable technology solutions aligned with operational objectives 

Profile :  

• Hands-on engineering professional with experience in manufacturing technology, automation, computer vision, or industrial IoT environments 
• Comfortable working in fast-paced manufacturing and plant floor environments with cross-functional teams 
• Strong analytical mindset with the ability to troubleshoot technical and operational issues 
• Curious, proactive, and solution-oriented with a strong interest in emerging manufacturing technologies 
• Effective communicator capable of collaborating with technical and non-technical stakeholders 

Must Have :  

• 2+ years of experience in manufacturing automation, controls, industrial IoT, computer vision, or related engineering fields 
• Experience working within automotive or manufacturing environments 
• Understanding of manufacturing equipment controls and PLC systems (Mitsubishi, Rockwell, Siemens, and/or Omron preferred) 
• Knowledge of computer vision concepts such as segmentation, feature extraction, image enhancement, camera calibration, classification, pose estimation, and/or deep learning techniques 
• Experience with industrial vision systems and technologies such as Cognex, Keyence, HALCON, Matrox, OpenCV, or similar platforms 
• Programming experience in Python and/or C++ 
• Experience analyzing industrial machine or sensor data 
• Strong analytical, troubleshooting, and problem-solving skills 
• Good communication and cross-functional collaboration abilities 
• Ability to work independently and support multiple technical initiatives simultaneously 

Good to Have : 

• Experience with AI / Machine Learning applications in manufacturing environments 
• Experience with predictive maintenance or industrial sensor analysis 
• Experience with vibration, audio, or current signature analysis 
• Exposure to industrial networking or embedded systems 
• Experience supporting proof-of-concept or innovation initiatives 
• Knowledge of industrial IoT architectures and connected manufacturing systems 
• Experience supporting manufacturing quality inspection systems 
• Familiarity with 3D vision technologies and deep learning-based inspection systems