15,979 Machine Learning jobs in the United States

• Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
• Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
• Database - Snowflake, Oracle, Graph database
• Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Our Client, a Public Utilities company, is looking for a Machine Learning/Deep Learning Engineer for their locations in Washington, DC, Chicago, IL, Philadelphia, PA, Baltimore, MD, or remote.

1. Deep Learning & Neural Networks
2. Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets.
3. Optimize and deploy models on NVIDIA GPU hardware (e.g., A100, H100) for high-performance inference.
4. Develop LLMOps context-aware pipelines for chat applications using Python frameworks.
5. Collaborate with data scientists and product teams to integrate models into production systems.
6. Develop and maintain RESTful and gRPC APIs for model serving and data access.
7. Manage the full API lifecycle, including versioning, documentation, and security.
8. Integrate APIs with internal and external applications using FastAPI or similar Python frameworks.
9. Create and manage Azure Container Apps, Container Registries, and Docker images.
10. Deploy and monitor Azure Web Apps for hosting AI services and dashboards.
11. Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates.

1. 5+ years of experience in Python development with a focus on deep learning.
2. Hands-on experience with transformers, Hugging Face, and custom model training.
3. Proven track record of deploying models on GPU-based infrastructure.
4. Strong understanding of API design principles and microservices architecture.
5. Experience with Azure cloud services, Docker, and GitHub Actions.
6. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
7. Experience with multi-modal models or generative AI applications.
8. Familiarity with MLOps tools and practices.
9. Contributions to open-source AI projects or publications in relevant fields.

1. Health Benefits
2. Referral Program
3. Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or expression, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801
Employment Status: Salary Full-Time
Function: Engineering
Req ID: 26915

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements.

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include:

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

Required Skills:

Machine Learning Engineer Responsibilities:

1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.

2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.

3. Work on problems of large scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.

4. Suggest, collect, analyze and synthesize requirements and bottlenecks in technology, systems, and tools.

5. Develop solutions that iterate with a higher efficiency, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques.

6. Demonstrate strong engineering skills and require minimal guidance on engineering craft.

7. Apply advanced machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:

Minimum Qualifications:

1. Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or related field.

2. Requires completion of a university-level course, research project, internship, or thesis in the following:

3. 1.- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow

4. 2.- Machine Learning Algorithms and their applications: recommendation systems, computer vision, natural language processing, or data mining

5. 3.- Translating insights into business recommendations

6. 4.- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark

7. 5.- Deep Neural Networks

8. 6.- Probability theory, Linear Algebra, Calculus, Data Analysis

9. 7.- Understanding of agile methodologies such as: Scrum, Kanban

10. 8.- Developing and debugging in C, C++, and Java

11. 9.- Scripting languages: Perl, Python, PHP, or shell scripts

12. 10.- Relational databases and SQL

13. 11.- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

14. 12.- Linux, UNIX, or other *nix-like OS including file manipulation and simple commands

15. 13.- Distributed systems, including sharding, consistency, and availability

16. 14.- Building highly-scalable performant solutions

17. 15.- Data structures and Algorithms

Public Compensation:

$187,974/year to $200,200/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Technology: HPE accepting resumes for AI Machine Learning Engr III in Ft. Collins, CO (Ref. #8356222). Dvlps & programs integrated softw algorithms to structure, analyze & leverage structured & unstructured data in product & sys's apps. Telecommuting is permissible. Sal Range: $140,000.00/yr to $270,000.00/yr. Variable incentives may also be offered. Info about employee benefits offered can be found at E-Mail resume to Incl Ref. #, full name, email & mailing address. No phone calls. Must be legally authorized to work in U.S. w/o sponsorship. EOE.
recblid 1v81c2quigf5wqy74k0rqa7w8mgl85

Best Buy Co. has openings in Richfield, Minnesota, for a Machine Learning Scientist position. This position provides a telecommuting benefit allowing the employee to reside anywhere in the continental United States. Develop machine learning solutions Machine Learning, Scientist, Software Engineer, Customer Experience, Technology, Retail