$95K - $130K/yr
As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...
$95K - $130K/yr
As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...
Machine Learning Engineer
Dearborn, MI · On-site
Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... launch new platform capabilities and insights into production for maximum business value ...
Machine Learning Engineer
Dearborn, MI · On-site
Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... launch new platform capabilities and insights into production for maximum business value ...
Machine Learning Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing, building, deploying, and scaling complex self-running ML solutions -- including Generative AI and ...
Quick apply
Machine Learning Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing, building, deploying, and scaling complex self-running ML solutions -- including Generative AI and ...
Machine Learning Engineer
Allendale, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Allendale, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Flint, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Flint, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Lansing, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Lansing, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Detroit, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Detroit, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Ann Arbor, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Ann Arbor, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Kalamazoo, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Kalamazoo, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Berrien Springs, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Berrien Springs, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Grand Rapids, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Grand Rapids, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Warren, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Warren, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Rochester Hills, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Rochester Hills, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Mount Pleasant, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Mount Pleasant, MI · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer 3
Dearborn, MI · On-site
$105K - $126K/yr
Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...
Quick apply
Machine Learning Engineer 3
Dearborn, MI · On-site
$105K - $126K/yr
Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Staff Machine Learning Engineer to set the technical direction for autonomous refining operations, focusing on building, validating, and optimizing control models across their ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Staff Machine Learning Engineer to set the technical direction for autonomous refining operations, focusing on building, validating, and optimizing control models across their ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $200K/yr
As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make refining autonomous. You'll define how control models are built, validated, and trusted on live ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $200K/yr
As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make refining autonomous. You'll define how control models are built, validated, and trusted on live ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
Machine Learning Engineer New Grad information
What is a Machine Learning Engineer New Grad job?
A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.
What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?
To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.
What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?
As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.
What are popular job titles related to Machine Learning Engineer New Grad jobs in Michigan? For Machine Learning Engineer New Grad jobs in Michigan, the most frequently searched job titles are:
- Embedded Machine Learning Engineer
- Senior Machine Learning Engineer
- Senior Machine Learning Researcher
- Google Cloud Machine Learning Engineer
- Machine Learning Software Engineer
- Machine Learning Engineer Apprenticeship
- Flexible Remote Machine Learning Engineer
- Machine Learning Engineer
- Deep Learning Engineer
- Remote Machine Learning Engineer
What job categories do people searching Machine Learning Engineer New Grad jobs in Michigan look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Engineer New Grad jobs? Cities in Michigan with the most Machine Learning Engineer New Grad job openings:
Job description
Are you ready to lead the technical delivery of production-grade machine learning solutions that can transform manufacturing performance?
What is your role?
As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate data science prototypes into secure, scalable, and production-ready solutions while influencing architecture, MLOps practices, and technical standards. This is an individual contributor role based in Monterrey with regular onsite presence and hybrid flexibility.
Major responsibilities and tasks of the position:-
Design, build, and maintain end-to-end machine learning pipelines covering data ingestion, preprocessing, training, validation, deployment, model serving, monitoring, troubleshooting, and retraining.-
Lead the translation of prototypes into scalable production solutions and contribute to architecture and technology decisions for APIs, batch processing, and real-time systems.- Implement MLOps and DevOps practices for model versioning, orchestration, CI/CD, containerization, security, data privacy, and production reliability.
- Guide junior contributors, lead code reviews and technical documentation, and partner with data scientists, IT, analytics, and manufacturing stakeholders to resolve complex production issues.
What do you need to have?
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field.- At least 3 years of relevant experience in machine learning engineering, data engineering, software engineering, or a related technical role; 3-5 years is preferred.- Proven hands-on experience deploying and supporting machine learning models or systems in production environments.
- Strong Python proficiency and experience with machine learning frameworks or libraries such as scikit-learn, TensorFlow, or PyTorch.- Hands-on understanding of the end-to-end ML lifecycle and MLOps/DevOps concepts, including CI/CD, model versioning, orchestration, monitoring, and containerization.
- Ability to influence architecture and design decisions, troubleshoot complex production issues, and coach or guide less-experienced team members without direct reports.
- Advanced technical and business English, plus the ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.
What would be a plus?
- Experience with Databricks, MLflow, Kubeflow, Docker, Kubernetes, cloud or on-premise deployment, and enterprise systems integration.- Experience deploying ML solutions in manufacturing, industrial, quality, defect-reduction, or production-optimization environments.- Experience with APIs, model serving infrastructure, relational or non-relational databases, distributed computing, security, and data privacy.
What do we offer?
- Competitive benefits above the requirements of Mexican law.
- Opportunity to work on high-impact machine learning initiatives that support manufacturing and business transformation.
- Collaborative global environment with exposure to Data Science, IT, analytics, and manufacturing teams.
- Learning and career development in a growing technical organization.Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com