Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 min ago
SI
SAP NS2 Senior DevOps Engineer
SAP IT Business Systeme
Herndon, VA
- $131,000 to $271,600 USD / year
All internals must have manager’s approval to transfer
Added 1 min ago
Staff Technical Product Manager, Autonomous Workforce
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 5 mins ago
Full Stack Engineer (DevOps Focus)
Iron EagleX Inc
United States
This role combines full stack software development with application deployment and operational support. You will work with Docker, Kubernetes, Helm, and Argo CD to deliver and maintain…
Added 5 mins ago
VDI Engineer
GD Information Technology, Inc.
United States
The VDI Engineer must have:
Added 5 mins ago
Sr. Software Engineer, Enterprise Technology Services (Forge)
Apple
Austin, TX
…operations to another. Here you own all of it. As a Software Engineer on Forge, you'll design, build, test, ship, and run the platform Apple's engineering teams build on, working closely…
Added 8 mins ago
Staff Talent Operations Engineer
Anaconda, Inc.
Remote, United States
…Anaconda from 450 to 1,000+ employees. As Staff Talent Operations Engineer, you'll reimagine how we hire and develop talent by blending recruiting operations expertise with hands-on AI…
Added 9 mins ago
Lead Software Engineer
Wells Fargo Bank, N. A.
CHANDLER, AZ
Ability to work a hybrid schedule with at least 3 days per week in the office
Added 11 mins ago
Medical Device & Technology, Software Engineer
Hogan Lovells Cadwalader US LLP
Washington, DC
The Washington D.C. office of Hogan Lovells Cadwalader is seeking a skilled Software Engineer to own and support the software and cybersecurity documentation that accompanies FDA regulatory…
Added 11 mins ago
Safety Engineering Technical Leader (Hybrid)
Cisco
San Jose, CA
…Engineering Product Lines. This self-motivated, detail oriented engineer will be highly organized and capable of handling concurrent projects through varying stages of development and…
Added 11 mins ago
Senior ASIC Validation Software Engineer (Hybrid)
Cisco
San Jose, CA
The application window is expected to close on: 02/25/2027This position requires that you live within commuting distance of our San Jose, CA office and commute to the office at least 3-5…
Added 11 mins ago
S
Principal Software Engineer
Swiftly
Remote, United States
- $220,000 to $228,000 USD / year
Swiftly is searching for a Principal Software Engineer to lead the architecture of our ads and martech platform: the systems that author retail media campaigns, generate creatives and serve…
Added 12 mins ago
Design Engineer
Actalent
Grandview, MO
This role is responsible for executing entry-level design projects, contributing to product development initiatives, and supporting engineering teams with CAD deliverables, product…
Added 13 mins ago
Chief Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Boston, MA
The Chief Engineer oversees the efficient, safe and responsible operation of all building systems and equipment while also leading the engineering team. You will oversee an engineering team…
Added 13 mins ago
Engineering Lead
US AMR-Jones Lang LaSalle Americas, Inc.
Vancouver, WA
Support onboarding, training, and ongoing development of engineering team members, embracing more innovative ways of working and prioritizing opportunities to strengthen their careers
Added 13 mins ago
Staff Data Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Remote, United States
As a Staff Data Engineer (business title: Director, Data Engineering), you’ll own the software development lifecycle of a Python application that implements ETL workflows and automates…
Added 14 mins ago
Software Development Engineer III, WW Sustainability
Amazon.com Services LLC
Seattle, WA
…that builds AI/ML systems in production and uses AI-native development and testing as standard workflow, measuring success by the pace at which new capabilities reach customers…
Added 14 mins ago
Forward Deployed Engineer, Forward Deployment Engineering
Amazon Web Services, Inc.
Seattle, WA
Own production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, operations, and…
Added 14 mins ago
Sr Forward Deployed Engineer, Forward Deployment Engineering
Amazon Web Services, Inc.
Seattle, WA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 14 mins ago
Senior Software Development Engineer
Amazon.com Services LLC
New York, NY · Seattle, WA
- 5+ years of non-internship professional software development experience
Added 14 mins ago
System Development Engineer II, SAP ERP Team
Amazon.com Services LLC
Bellevue, WA · Austin, TX · North Reading, MA
- Own BTP architecture, including subaccount design, environments, connectivity, identity, security, application services, integration services, and lifecycle management.
Added 15 mins ago
Java Lead Software Engineer
JPMC page
Jersey City, NJ
Hands-on practical experience delivering system design, application development, testing, and operational stability
Added 15 mins ago
Full-stack Java & React Software Engineer III
JPMC page
Plano, TX
As an Experienced Software Engineer at JPMorgan Chase within the Corporate Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology…
Added 15 mins ago
AI Engineer
Techstra Solutions
Pittsburgh, PA
We are seeking an AI Engineer who is passionate about artificial intelligence and eager to launch their career building innovative AI solutions. This is an excellent opportunity for a…
Added 16 mins ago
Sr Machine Learning Engineer - Labor Management Forecasting (Hybrid)
Publix Super Markets, Inc.
Lakeland, FL
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level - internships through technical leadership.
Added 18 mins ago
PI
Staff Machine Learning Engineer
PayPal, Inc.
San Jose, CA
- $196,833 to $333,500 USD / year
This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists,…

PayPal, Inc.

Staff Machine Learning Engineer

San Jose, CA, United States

$196,833 to $333,500 USD / year

Apply on wd1.myworkdaysite.com About employer

Applications open in a new tab.

Job details

Pay: $196,833 to $333,500 USD / year
Apply by: Nov 25, 2026
Working hours: 40 hours per week
Posting language: English
Posted: Nov 10, 2026

Original job description

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description:

PayPal, Inc. seeks Staff Machine Learning Engineer in San Jose, CA

Job Duties: Manage FSI Data Integration Project with Risk Models. Work with Infra and Online Engineering Teams to ensure the relevant features can and will be exposed to the different system checkpoints. Verify and validate exposure as online variables, such as existence and quality. Work with the Global Analytics and Data Science teams to enumerate the features. Perform feature comparisons to identify where the unique features engineered by FSI can provide measurable uplift. This work will scale across models for multiple fraud domains, including account takeover, collusion, seller risk, credit risk, and more. Work with model developers on a development plan and will ensure they are able to use FSI features and assist them in case of issues. Create a New Risk Model Based on Linking Features. Work with a Data Science team that developed LEGO, an internal graph-based tool for generating online variables, to check if it could be used for FSI objectives. Investigate embedding features to be used as a possible advanced solution for upstream tasks that would be able to represent the entire FSI intelligence in just a few features. Develop a proof of concept (POC) and will perform a results comparison with the current solution to ensure better outcomes. Develop the complete automated tool and will perform the required experiments to ensure it works as expected and monitors its performance. Transform FSI Data into Graph Infrastructure. Apply Graph Data Science Insights to FSI Linking Automation. Automate the Detection of New Risky Features. Telecommuting permitted – work may be performed from anywhere in the US.

Additional Responsibilities & Preferred Qualifications:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering (any field), or a closely related field plus four years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering (any field) or a closely related field plus six years of experience in the job offered or a related occupation.

Special Skill Requirements:

Experience in the financial fraud detection domain, including developing machine learning models for identifying fraudulent activity. (4 years) Experience translating business stakeholder requirements into machine learning problem formulations, including defining key performance indicators (KPIs), evaluation metrics, and success criteria for model development projects. (4 years)

Experience in end-to-end design and development of machine learning solutions, from data collection, feature engineering, preprocessing, feature selection, research, model architecture, training, optimization, evaluation, model encoding, deployment to production, and maintenance. (4 years) Experience automating end-to-end machine learning solutions, including automated data collection, model training, model encoding, and deployment to production environments. (4 years)

Experience with Python-based data science libraries, including scikit-learn, pandas, NumPy, and Keras, for preprocessing, training, and evaluating machine learning models. (4 years)

Experience working with large-scale tabular datasets in cloud-based data warehouse environments for feature engineering and analytics. (4 years) Experience encoding and optimizing machine learning models for production deployment using serialization frameworks such as ONNX for cross-platform model inference. (4 years)

Experience in embedding representation methods for tabular data. (1 year) Experience collaborating with cross-functional teams, including business strategy, engineering, data infrastructure, and data science teams to align machine learning model outputs with business objectives and integrate models into production decision systems. (4 years)

EOE, including disability/vets.

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

San Jose, CA | Salary: $196,833.00-333,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:

PayPal

Travel Percent:

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing - physical, emotional, and financial - delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Apply on wd1.myworkdaysite.com About employer

More about this job

Skills

Machine learning
PayPal
ML
Computer science
Research
Python
Scikit-learn
pandas
NumPy
Keras
Data warehouse
Communication skills
Collaboration

Report this job

Work requirements

Jobs in the United States