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PayPal Machine Learning Engineer PhD Intern United States, California, San Jose
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- Gain hands-on experience working on real-world large language model (LLM) and machine learning projects within the domains of commerce, personalization, recommendation, and user behavior understanding.
- Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling.
- Collaborate with experienced engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions.
- Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems.
- Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability.
- Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications.
- Network with talented professionals and gain valuable insights into the world of financial technology, personalization, and applied machine learning.
- Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning).
- Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, prompt engineering, or embeddings-based retrieval.
- Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
- Experience with data analysis, cleaning, and wrangling.
- Excellent communication, collaboration, and problem-solving skills.
- A passion for learning and exploring new technologies.
- Highly motivated and proactive with a strong work ethic.
Basic Requirements
Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a related field .
Strong theoretical foundation in ML algorithms, optimization, and statistical learning theory .
Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch .
Experience conducting independent research , with publications in relevant ML/AI conferences or journals (preferred).
Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences.
Highly motivated, curious, and proactive in exploring new research directions.
Program Information and Requirements
This is a Summer 2026 PhD Internship (Spring and Fall sessions are not available).
Must be enrolled in a PhD program at an accredited university, returning to studies after the internship.
Must reside in the U.S. during the program.
Must be authorized to work in the U.S. for the duration of the internship.
Additional Responsibilities & Preferred Qualifications
The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national hourly pay range for this role is $66/hour.
Our Benefits:
Any general requests for consideration of your skills, please
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PayPal Staff Machine Learning Engineer United States, California, San Jose
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Essential Responsibilities:
- Lead the development and optimization of advanced machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Additional Responsibilities & Preferred Qualifications:
Design, develop, and deploy autonomous AI agents capable of performing complex tasks across business workflows.
Collaborate with cross-functional teams to integrate LLM-based systems into existing platforms and tools.
Develop frameworks for goal-driven, multi-step reasoning anddecision-making inAI agents.
Implement agent orchestration, including memory, planning, and tool-use capabilities.
Monitor and optimize agent performance using data-driven metrics, ensuring scalability, reliability, and compliance.
Stay updated with the latest developments in LLM, RAG, and agentic system architectures, applying best practices to product innovation.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Belonging at PayPal:
Any general requests for consideration of your skills, please
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Applied Materials Java Developer - Machine Control Software United States, California
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What We Offer
$176,000.00 - $242,000.00Santa Clara,CAthe cutting-edge,a Better Future.
At Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole
What You’ll Do
As aSoftware Engineerat AppliedMaterials, you’ll diveproblems. You’ll work withyour expertise inintricate systems, deciphering code,and anticipating softwarebehaviors to ensureApplied remains theleader in the semiconductor and display
Your key responsibilities will be
- Design, develop, and maintain software applications using Java.
- Implement and manage microservices architecture to ensure scalability and efficiency.
- Work closely with systems and application engineers to integrate software solutions equipment software.
- Interface with internal and external customers for requirement analysis, functional specification, solution development, testing, and support.
- Navigate a dynamic work environment and collaborate with cross-functional teams and global counterparts to ensure the effective delivery of solutions.
- Proficiency in Cloud Native technologies
- Must be dedicated to development
You will be a great fit if you have
- Proficiency in programming, especially in Java.
- Experience with microservice architecture and related technologies (e.g., Docker, Kubernetes, Spring Boot, DAPR, Temporal,gRPC).
- Exposure to Agile methodologies and tool chain (like JIRA).
- Exposure to Azure DevOps is good to have but not must
- Capability to collaborate with application and systems teams to comprehend system requirements and translate them into software designs.
- Strong computer science fundamentals (Object-Oriented technology, design patterns, data structures, and algorithms).
- Strong software diagnostic and troubleshooting skills.
- Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
- Team player mindset and motivated by team success.
- Experience working in Semiconductor, Healthcare or Medical Equipment industries preferred
- Master’s or Bachelor’s degree in Computer Science/Engineering or similar fields with 10+ years of experience.
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Bank Of America Machine Operator - Year United States, Delaware
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Job Description:
Job Description:
This job is responsible for operating insertion and printing equipment at a basic proficiency level for processing customer correspondence mailings. Key responsibilities include being production and quality focused in alignment with 5S Lean methodology and working in a high volume and demanding physical production environment. Job expectations include monitoring and executing on production plans by operating high speed manufacturing equipment.
• Operates insertion and printing equipment at a basic proficiency level while meeting production and quality standards under supervision
• Oversees machine set-up and inspects parts with precision prior to production initiating
• Stands for long periods and is able to push/pull/lift up to 50 pounds as required
• Executes routine quality inspections of printed and inserted material for accuracy and integrity
• Completes paperwork and day-to-day tasks in compliance with all policies, procedures, safety regulations, and 5S principles
• Communicates with department peers, supervisors, vendor representatives, and other departments to work effectively in a team environment
• Cross-trains on multiple pieces of equipment and in reconcilement functions as required
Skills:
- Attention to Detail
- Collaboration
- Active Listening
- Adaptability
- Decision Making
- Problem Solving
- Critical Thinking
- Innovative Thinking
- Written Communications
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EY AI & Machine Learning Engineering Consultant United States, New York, New York
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AI/Machine Learning Engineer, Senior Consultant
Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.
Your key responsibilities
In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will spend your time on key responsibilities that include:
- Researching and implementing scalable AI systems that meet business requirements.
- Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
- Monitoring and optimizing learning processes to improve high-performance models.
- This position may have travel requirements as needed to engage with external clients regularly.
Skills and attributes for success
To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.
This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
- Strong analytical and decision-making skills to guide project direction.
- Proven experience in project management and tracking deliverable completion.
- Ability to build and maintain relationships with clients and team members.
- Excellent communication skills to convey complex ideas effectively.
qualify for the role, you must have
- A Bachelor’s degree required (4-year degree).
- 3-6 years of full-time working experience in AI and/or Machine Learning
- Strong skills in Python
- Ability to collaborate and communicate effectively with diverse, hybrid and global teams
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
- Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
- Experience with natural language processing and deep learning
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
- Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
- Experience with model retraining and feedback loop methodologies
- Experience with model and solution monitoring and reporting
- Understanding of data structures, data modelling, and software engineering best practices
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
Ideally, you’ll also have
- Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
- Experience in hybrid collaboration and emotional agility
- A track record of working with diverse teams to drive outcomes through complex problem-solving
- Knowledge of sustainability practices in technology
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
- Experience fine-tuning Generative AI models
- Experience with image processing techniques and/or speech and audio processing and analysis
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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EY Service Delivery Center AI & Data Machine Learning Engineer ... United States, Pennsylvania, Philadelphia
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Manager - Financial Services Organization – AI and Data - Service Delivery Center
Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. You’ll be solving complex problems, as well as giving deliverables to our clients in the AI and data space. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.
Your key responsibilities
You will be working with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services. As part of that, you’ll need to be a team player with great communication skills, and have the desire to learn the technical skills required to fill the role.
Skills and attributes for success
- Collaborating, mentoring, and coaching teams with diverse skills and backgrounds
- Fostering an innovative and inclusive team-oriented work environment
- Being accountable for the success of your team and the project’s components
- Building strong relationships with your internal clients
- Great communication and influencing skills
- Demonstrating in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology
- Leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development, and testing
- Designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines
- Helping clients make data-driven decisions by working with structured and unstructured data sets and building out predictive models
- Designing and developing solutions leveraging big data technology (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets
To qualify for the role you must have
- A bachelor's or master’s degree in computer science, information systems, or related technology majors
- Minimum of 5 years of related work experience in AI/ML engineering or MLE/ML Ops
- Experience working with business, management, and technology concepts
- Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc.)
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions
- Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence
- Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment
- Good written and verbal communication skills
- A willingness and ability to travel at 0%-25%
- Valid driver’s license in the US
- Valid passport
Ideally, you’ll also have
- Certification in any database management system, reporting or data visualization, or programming/statistical language
- Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
- Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI
- Familiarity with cloud-based machine learning services like AWS SageMaker, Google AI Platform, or Azure Machine Learning
What we look for
We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:
- Opportunities to develop new skills and progress your career
- Support and coaching from some of the most engaging and knowledgeable colleagues
- A collaborative environment where everyone works together to create a better working world
- Excellent training and development prospects
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $76,200 to $174,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $91,400 to $197,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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Applied Materials Java Developer - Machine Control Software United States, California
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What We Offer
$152,000.00 - $209,000.00Santa Clara,CAa Better Future.
What You’ll Do
As aSoftware Engineerat Applied Materials, you will dive deep into ground-breaking technologies pushing the boundaries to craft novel software solutions that solve our customers’ high-valueproblems. You’ll work withcross functional teams on interesting and challenging projects, contributingyour expertise inintricate systems, deciphering code,and anticipating softwarebehaviors to ensureApplied remains theleader in the semiconductor and displaysectors.
Key Responsibilities
- Design, develop, and maintain Machine Control software applications using Java.
- Work closely with systems and application engineers to integrate software solutions equipment software.
- Proactively communicate on development status & delays in agreed upon timelines
- Implement and manage microservices architecture to ensure scalability and efficiency.
- Interface with internal and external customers for requirement analysis, functional specification, solution development, testing, and support.
- Navigate a dynamic work environment and collaborate with cross-functional teams and global counterparts to ensure the effective delivery of solutions.
- Must be dedicated to development
Problem Solving
- Ability to break down complex problems into smaller, manageable parts. This helps in understanding the root cause of issues and developing effective solutions.
- Understanding and applying algorithms to solve problems efficiently. This includes knowledge of data structures and algorithms, which are fundamental to writing optimized code
- Evaluating different solutions and approaches to determine the best course of action. This involves assessing the pros and cons of various options
- Working effectively with other team members to solve problems. This includes clear communication and the ability to understand and incorporate feedback
Qualification and Requirements:
- Proficiency in programming, especially in Java.
- Experience with microservice architecture and related technologies.
- Capability to collaborate with application and systems teams to comprehend system requirements and translate them into software designs.
- Strong computer science fundamentals (Object-Oriented technology, design patterns, data structures, and algorithms).
- Strong software diagnostic and troubleshooting skills.
- Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
- Team player mindset and motivated by team success.
- Experience working in Semiconductor, Healthcare or Medical Equipment industries preferred
- Master’s or Bachelor’s degree in Computer Science/Engineering or similar fields with 8+ years of experience.
These jobs might be a good fit
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- Gain hands-on experience working on real-world large language model (LLM) and machine learning projects within the domains of commerce, personalization, recommendation, and user behavior understanding.
- Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling.
- Collaborate with experienced engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions.
- Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems.
- Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability.
- Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications.
- Network with talented professionals and gain valuable insights into the world of financial technology, personalization, and applied machine learning.
- Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning).
- Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, prompt engineering, or embeddings-based retrieval.
- Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
- Experience with data analysis, cleaning, and wrangling.
- Excellent communication, collaboration, and problem-solving skills.
- A passion for learning and exploring new technologies.
- Highly motivated and proactive with a strong work ethic.
Basic Requirements
Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a related field .
Strong theoretical foundation in ML algorithms, optimization, and statistical learning theory .
Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch .
Experience conducting independent research , with publications in relevant ML/AI conferences or journals (preferred).
Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences.
Highly motivated, curious, and proactive in exploring new research directions.
Program Information and Requirements
This is a Summer 2026 PhD Internship (Spring and Fall sessions are not available).
Must be enrolled in a PhD program at an accredited university, returning to studies after the internship.
Must reside in the U.S. during the program.
Must be authorized to work in the U.S. for the duration of the internship.
Additional Responsibilities & Preferred Qualifications
The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national hourly pay range for this role is $66/hour.
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
