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Deep Learning Developer Jobs in Grand Rapids, MI

AI Engineer

Grand Rapids, MI ยท On-site

$120 - $180/hr

... Python Developer with 10+ years of software engineering experience, including 1+ years of ... Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of ...

... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... learning and deep learning techniques effectively - Excelling in complex data analysis and ...

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data pipelines and infrastructure - Applying deep learning techniques and ...

AI Solutions Engineering Delivery Lead

Grand Rapids, MI ยท On-site

$98K - $129K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

Sr. Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Develop and maintain deep knowledge of the customer's business needs as they relate to data flows ... Support the integration of AI and machine learning capabilities into data workflows using AWS ...

... deep foundation installation, and other specialty geotechnical structure support options ... Learning about other SME services to assist in promoting and expanding geotechnical and other SME ...

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Deep Learning Developer information

See Grand Rapids, MI salary details

$17

$36

$48

How much do deep learning developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for deep learning developer in Grand Rapids, MI is $36.92, according to ZipRecruiter salary data. Most workers in this role earn between $31.39 and $41.11 per hour, depending on experience, location, and employer.

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

What are the key skills and qualifications needed to thrive as a deep learning developer?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What cities near Grand Rapids, MI are hiring for Deep Learning Developer jobs?

Cities near Grand Rapids, MI with the most Deep Learning Developer job openings:

Infographic showing various Deep Learning Developer job openings in Grand Rapids, MI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $76,792 per year, or $36.9 per hour.

Senior Engineer, In-Line Vision Systems

LG Energy Solution Michigan, Inc.

Holland, MI โ€ข On-site

$110 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Holland, MI, US

4 days ago Requisition ID: 5089

LG Energy Solution Michigan Inc. (LGESMI) develops and manufactures large lithium-ion polymer batteries and packs for electric vehicle (EV) and energy storage applications. Come join the leader in advanced EV batteries! www.lgenergymi.com

Summary:
The Senior Engineer, In-Line Vision Systems is an ESMI-based engineer responsible for providing specialized vision-inspection engineering support to LG Energy Solution and affiliated manufacturing entities throughout North America.

This position supports the setup, integration, commissioning, acceptance testing, production startup, stabilization, troubleshooting, and optimization of in-line vision inspection systems used in lithium-ion battery manufacturing. The Engineer serves as a technical expert in pouch-cell packaging inspection, inspection-recipe development, camera and lighting configuration, image-quality optimization, defect-detection validation, and deep-learning-based inspection technologies.

The Engineer travels to North American manufacturing sites to support new production-line launches, improve inspection accuracy and reliability, reduce false rejects and false accepts, resolve complex vision-system problems, and transfer specialized knowledge to locally hired engineers and technicians

Responsibilities:

  • Provide advanced vision-system engineering support to ESMI and other LG Energy Solution or affiliated North American manufacturing entities.
  • Lead or support the installation, setup, configuration, integration, commissioning, and production stabilization of in-line vision inspection systems.
  • Develop, configure, validate, and optimize inspection recipes for pouch-cell packaging, dimensional, cosmetic, sealing, contamination, and other battery-manufacturing inspections.
  • Configure and optimize cameras, lenses, lighting, triggers, image-acquisition parameters, and inspection environments to achieve consistent image quality.
  • Establish and validate inspection standards, defect criteria, detection thresholds, measurement tolerances, and pass/fail decision logic.
  • Conduct detection-performance studies and validation testing to confirm inspection accuracy, repeatability, reliability, and production readiness.
  • Analyze and reduce false rejects and false accepts through recipe tuning, image analysis, hardware optimization, and defect-standard validation.
  • Diagnose and resolve complex issues involving vision software, inspection algorithms, cameras, lenses, lighting, sensors, triggers, image acquisition, equipment interfaces, and inspection environments.
  • Develop defect datasets and train, validate, deploy, and maintain deep-learning models for scratches, contamination, wrinkles, sealing defects, cosmetic defects, and other inspection applications.
  • Support the integration and deployment of vision inspection software, inspection algorithms, measurement functions, and automated production equipment.
  • Perform Factory Acceptance Testing and Site Acceptance Testing and document inspection performance, open issues, corrective actions, and acceptance results.
  • Support new plant launches, trial production, production ramp-up, model changeovers, and mass-production stabilization.
  • Analyze inspection failures, recurring defects, quality escapes, and production interruptions; conduct root-cause analysis and implement corrective and preventive actions.
  • Standardize vision hardware, inspection recipes, defect criteria, operating procedures, and validation methods across supported North American manufacturing sites.
  • Develop and maintain inspection specifications, recipe records, validation reports, troubleshooting histories, defect libraries, operating standards, and training materials.
  • Coordinate technical activities with manufacturing, quality, process engineering, equipment engineering, IT, equipment suppliers, contractors, and vision-development teams across multiple entities.
  • Manage project schedules, technical resources, installation activities, inspection deliverables, and production-readiness requirements when assigned as a project lead.
  • Train locally hired engineers, technicians, operators, and quality personnel on vision-system operation, recipe management, troubleshooting, inspection validation, and deep-learning model administration.
  • Provide on-site support during critical inspection failures, quality incidents, production disruptions, and other urgent manufacturing events.
  • Travel frequently to manufacturing facilities throughout North America based on project and operational requirements.

Required Skills:

  • Advanced knowledge of automated in-line vision inspection systems used in lithium-ion battery manufacturing or comparable high-volume manufacturing environments.
  • Strong experience with vision-system setup, commissioning, production startup, troubleshooting, and stabilization.
  • Advanced inspection-recipe development, tuning, optimization, and validation skills.
  • Ability to configure and optimize industrial cameras, lenses, lighting, triggers, image-acquisition parameters, and inspection environments.
  • Demonstrated ability to establish defect criteria, detection thresholds, measurement tolerances, and inspection decision logic.
  • Experience analyzing and reducing false rejects and false accepts while maintaining required defect-detection performance.
  • Strong knowledge of image processing, defect detection, dimensional measurement, alignment, and automated visual-inspection principles.
  • Experience developing defect datasets and training, validating, deploying, or administering deep-learning vision models.
  • Ability to troubleshoot vision software, hardware, network communication, equipment interfaces, image-quality, and inspection-environment issues.
  • Experience performing Factory Acceptance Testing, Site Acceptance Testing, inspection capability studies, and production-readiness validation.
  • Strong root-cause analysis, corrective-action, quality-stabilization, and continuous-improvement capabilities.
  • Ability to develop inspection specifications, validation reports, operating standards, technical documentation, and training materials.
  • Strong project coordination and hands-on technical training skills.
  • Ability to transfer specialized vision-system knowledge to local engineers, technicians, operators, and quality personnel.
  • Ability to work effectively across multiple manufacturing sites, corporate entities, cultures, and technical functions.

Qualifications:

  • Bachelorโ€™s degree in computer engineering, computer science, electrical engineering, electronics engineering, information and communication engineering, automation engineering, or a related technical field required.
  • At least 7 years of progressively responsible experience in machine vision, automated inspection, vision software, imaging systems, or related manufacturing-engineering functions.
  • Demonstrated experience with vision-system setup, commissioning, recipe development, troubleshooting, and production stabilization.
  • Experience supporting automated in-line inspection systems in lithium-ion battery, display, semiconductor, automotive, electronics, or another high-volume manufacturing environment.
  • Demonstrated experience configuring industrial cameras, lenses, lighting, image-acquisition conditions, and inspection software.
  • Experience performing inspection-performance validation and reducing false rejects and false accepts.
  • Experience with deep-learning-based visual inspection, including defect-data preparation, model training, model validation, or production deployment.
  • Experience performing or supporting FAT, SAT, production startup, and manufacturing-line acceptance activities.
  • Experience supporting manufacturing projects at multiple facilities or international locations.
  • Ability to communicate effectively in English in technical and operational settings.
  • Ability and willingness to travel frequently throughout North America.
  • Ability to work flexible or extended hours during commissioning, production ramp-up, quality incidents, emergency troubleshooting, and other critical project periods.

Benefits Overview:

  • 100% employer-paid Medical, Dental, and Vision premiums for you and your family
  • 100% employer-paid disability and life insurance
  • Generous Paid Time Off / Holidays
  • Opportunity to grow in a diverse work environment with a global company
  • 401k Retirement savings and planning with a generous company match

LGESMI is an Equal Opportunity employer that values the diversity of its workforce.

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