As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Develop ML production software. The ability to build end-to-end demos for ML solutions. Represent ...
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Develop ML production software. The ability to build end-to-end demos for ML solutions. Represent ...
Senior Software Engineer - Scalable Machine Learning
Pittsburgh, PA · On-site
$118K - $156K/yr
... software Preferred : • Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field • Hands-on experience with distributed machine learning frameworks and ...
Senior Software Engineer - Scalable Machine Learning
Pittsburgh, PA · On-site
$118K - $156K/yr
... software Preferred : • Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field • Hands-on experience with distributed machine learning frameworks and ...
Senior Software Engineer - Scalable Machine Learning
Pittsburgh, PA · On-site
$179K - $268K/yr
Medical
Dental
Vision
Life
Retirement
PTO
... software Nice to have: * Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field * Hands-on experience with distributed machine learning frameworks and tools ...
Senior Software Engineer - Scalable Machine Learning
Pittsburgh, PA · On-site
$179K - $268K/yr
Medical
Dental
Vision
Life
Retirement
PTO
... software Nice to have: * Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field * Hands-on experience with distributed machine learning frameworks and tools ...
AI Security Software Engineer
Pittsburgh, PA · On-site
Retirement
Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...
AI Security Software Engineer
Pittsburgh, PA · On-site
Retirement
Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...
Design, develop, and implement machine learning and deep learning models to address hospital ... Collaborate with cross-functional teams including data scientists, software engineers, clinicians ...
Design, develop, and implement machine learning and deep learning models to address hospital ... Collaborate with cross-functional teams including data scientists, software engineers, clinicians ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
Design, develop, and implement machine learning and deep learning models to address hospital ... Collaborate with cross-functional teams including data scientists, software engineers, clinicians ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
Design, develop, and implement machine learning and deep learning models to address hospital ... Collaborate with cross-functional teams including data scientists, software engineers, clinicians ...
Assistant AI Security Software Engineer
Pittsburgh, PA · On-site
Retirement
Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...
Assistant AI Security Software Engineer
Pittsburgh, PA · On-site
Retirement
Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...
Machine Learning Engineer
Pittsburgh, PA · On-site
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience in prototyping and developing software applications (preferably in Swift). Experience ...
Machine Learning Engineer
Pittsburgh, PA · On-site
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience in prototyping and developing software applications (preferably in Swift). Experience ...
... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale healthcare ...
... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale healthcare ...
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
$111K - $133K/yr
... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale healthcare ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
$111K - $133K/yr
... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale healthcare ...
Responsibilities : • Develop machine learning-based prototypes, tools, and systems for AI ... software engineering best practices to build scalable, maintainable systems, grounded design ...
Responsibilities : • Develop machine learning-based prototypes, tools, and systems for AI ... software engineering best practices to build scalable, maintainable systems, grounded design ...
Research, develop, and implement machine learning algorithms for use in software and hardware applications. * Perform application programming activities including coding, testing, debugging ...
Quick apply
Research, develop, and implement machine learning algorithms for use in software and hardware applications. * Perform application programming activities including coding, testing, debugging ...
... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale healthcare ...
... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale healthcare ...
Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL). * Supports integration of model pipelines in a production environment. Develops ...
Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL). * Supports integration of model pipelines in a production environment. Develops ...
Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL). * Supports integration of model pipelines in a production environment. Develops ...
Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL). * Supports integration of model pipelines in a production environment. Develops ...
... software engineering, applied AI, and materials innovation . The intern will work on initiatives ... Collaborate with the team to design, implement, and test machine learning models (regression ...
... software engineering, applied AI, and materials innovation . The intern will work on initiatives ... Collaborate with the team to design, implement, and test machine learning models (regression ...
Staff Machine Learning Engineer
Calumet, PA · On-site
$280K/yr
* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship ... Build high-quality enterprise software while maintaining a fast pace of delivery. * Take ownership ...
Staff Machine Learning Engineer
Calumet, PA · On-site
$280K/yr
* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship ... Build high-quality enterprise software while maintaining a fast pace of delivery. * Take ownership ...
Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL). * Supports integration of model pipelines in a production environment. Develops ...
Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL). * Supports integration of model pipelines in a production environment. Develops ...
AI & Data Science Intern
Carlisle, PA · On-site
... software engineering, applied AI, and materials innovation . The intern will work on initiatives ... Collaborate with the team to design, implement, and test machine learning models (regression ...
AI & Data Science Intern
Carlisle, PA · On-site
... software engineering, applied AI, and materials innovation . The intern will work on initiatives ... Collaborate with the team to design, implement, and test machine learning models (regression ...
Machine Learning Software Engineer Intern information
What does a machine learning software engineer intern do?
A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?
To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Pennsylvania?
The most popular types of Machine Learning Software Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Learning Software Engineer Intern jobs?
Cities in Pennsylvania with the most Machine Learning Software Engineer Intern job openings:
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you’ll have the opportunity to be part of a leading ML innovation organization that develops a wide range of impactful Apple features. Within MIND, you’ll engage in cutting-edge research in fields such as Foundation Models and Perception, and collaborate to create end products that have high impact on Apple users. This role places a strong emphasis on shipping ML-based features and products. You’ll be involved in the entire end-to-end ML development pipeline, which encompasses creative approaches to dataset curation, model training, runtime inference integration, and on-device model optimizations. Our ideal team member is fearless in exploring new ideas and is willing to iterate on concepts. We value team members who can swiftly prototype and iterate, ultimately resulting in high-quality implementations.
Description
Our team seeks a self-driven machine learning engineer with strong experience in building ML training pipelines and developing production-quality inference infrastructure. In this role, you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help deliver the needed pipeline for model development and evaluation, as well as build the production software to integrate these models and related functionality within Apple’s software infrastructure. In addition, as part of the development process you are expected to build real-time demos and visualizations of sensing data streams and model predictions. ","responsibilities":"Build ML models and end-to-end training and evaluation pipeline.
Develop ML production software.
The ability to build end-to-end demos for ML solutions.
Represent the team in Cross-functional discussions.
Preferred Qualifications
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow.
Experience in on-device ML model deployment and on-device optimization.
Experience handling multimodal data including text, images, audio, and other sensors.
Experience in developing production software.
Proficient in Swift, Objective-C, C++, or Go
Minimum Qualifications
A PhD in computer science, computer engineering, or relevant Fields. Alternately, a BS or an MS + 3 to 5 years of ML engineering experience also qualifies.
Strong foundation in machine learning, and more specifically in LLM and multimodal foundation models.
Experience in building model training/eval pipelines in Python/PyTorch.
Experience in prototyping and developing software applications (preferably in Swift).
Experience with sensors and sensing systems.
Strong communication and presentation skills.
* Ability to work in a collaborative environment.
Description
Our team seeks a self-driven machine learning engineer with strong experience in building ML training pipelines and developing production-quality inference infrastructure. In this role, you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help deliver the needed pipeline for model development and evaluation, as well as build the production software to integrate these models and related functionality within Apple’s software infrastructure. In addition, as part of the development process you are expected to build real-time demos and visualizations of sensing data streams and model predictions. ","responsibilities":"Build ML models and end-to-end training and evaluation pipeline.
Develop ML production software.
The ability to build end-to-end demos for ML solutions.
Represent the team in Cross-functional discussions.
Preferred Qualifications
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow.
Experience in on-device ML model deployment and on-device optimization.
Experience handling multimodal data including text, images, audio, and other sensors.
Experience in developing production software.
Proficient in Swift, Objective-C, C++, or Go
Minimum Qualifications
A PhD in computer science, computer engineering, or relevant Fields. Alternately, a BS or an MS + 3 to 5 years of ML engineering experience also qualifies.
Strong foundation in machine learning, and more specifically in LLM and multimodal foundation models.
Experience in building model training/eval pipelines in Python/PyTorch.
Experience in prototyping and developing software applications (preferably in Swift).
Experience with sensors and sensing systems.
Strong communication and presentation skills.
* Ability to work in a collaborative environment.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976