Jobs in the United States

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Added 1 min ago
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Principal Optomechanical Engineer - Simulations (Thermal/Structural)
Neurophos
Austin, TX · San Mateo, CA
- $245,000 to $280,000 USD / year
Neurophos is seeking a Principal Optomechanical Engineer to own thermal and structural simulation for our optical processing unit (OPU). Our free-space optical assemblies hold lenses,…
Added 1 min ago
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Senior DevSecOps
Vermont Information Processing
Remote, United States
- $170,000 to $200,000 USD / year
VIP is seeking a Senior DevSecOps Engineer to own the security of how we build and run software, secure our release pipeline, and strengthen our cloud environments.
Added 2 mins ago
Product Engineer, Nino
CoinTracker
Remote, United States
As Product Engineer, you'll own customer problems from the first conversation to a working product. You'll talk to users, shape the idea, design the experience, and build it across the…
Added 3 mins ago
Systems Engineer
System One
York, PA
Conceptually designs automation, motion control, and robotic solutions to meet the expectation of the customer order
Added 3 mins ago
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Performance Engineering Co-op
HP
Fort Collins, CO
- $29 to $35 USD / hour
HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a…
Added 7 mins ago
GCP Cloud/DevOps Engineer
LIGHTFEATHER IO LLC
Washington, DC · Alexandria, VA
LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform…
Added 7 mins ago
Software Engineer - Roy, Utah
Davidson Technologies, Inc.
Roy, UT
Davidson Technologies Inc. is seeking a Software Engineer onsite in Roy, Utah.
Added 8 mins ago
Full Stack Engineer, Business Systems
Verkada
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…used by sales, order, finance, support teams. We emphasize automation over operation, metrics over anecdotes, iteration over perfection and being proactive over…
Added 10 mins 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 11 mins ago
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Software Integration Test Engineer - Autonomous Vehicle Program
PACCAR
Kirkland, WA
- $90,400 to $141,800 USD / year
PACCAR Electronics is seeking a motivated and technically curious Software Integration Test Engineer to join our Autonomous Vehicle Program in Kirkland, WA. In this role, you will be…
Added 11 mins ago
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Cisco Network Infrastructure Engineer (Remote from anywhere in CO)
State of Colorado
CO
- $100,000 to $115,000 USD / year
As our new Cisco Network Infrastructure Engineer you will provide network engineering services to the statewide enterprise network and all State agencies. You will act as a subject matter…
Added 11 mins ago
SO
Senior Data Center Infrastructure Engineer (Remote from anywhere in Colorado)
State of Colorado
CO
- $105,000 to $120,000 USD / year
Our next Senior Data Center Infrastructure Engineer will be a senior technical expert and design authority for the shared enterprise network services the team provides to 20 member…
Added 11 mins ago
SO
Data Center Infrastructure Engineer (Remote from anywhere in Colorado)
State of Colorado
CO
- $26,124 to $120,684 USD / year
As our new Data Center Infrastructure Engineer you will provide implementation, operations, and Tier 2 support for the shared enterprise network services the team provides to 20 member…
Added 13 mins ago
Full Stack Engineer (DevOps Focus)
Iron EagleX Inc
United States
Full Stack Senior Software Engineer (DevOps Focus)
Added 13 mins ago
Sr. Software Engineer, Enterprise Technology Services (Forge)
Apple
Austin, TX
Most software engineering roles hand off testing to one team and operations to another. Here you own all of it. As a Software Engineer on Forge, you'll design, build, test, ship, and run…
Added 14 mins ago
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Growth Software Engineer
NOX METALS
San Fransisco, CA
- $130,000 to $170,000 USD / year
Growth Software Engineer | Nox Metals | San Francisco, CA
Added 16 mins ago
Application Support Engineer
SC State Credit Union
Columbia, SC
Applicants must have seven years of work experience in a computer-related field and advanced knowledge of pertinent systems, hardware, and software
Added 17 mins ago
AI Data Engineer
Thrive Aviation
Henderson, NV
Thrive Aviation is seeking an AI Data Engineer to develop, deploy, and maintain AI agents, intelligent automation, and enterprise integrations. This hands-on role will execute defined…
Added 17 mins ago
Senior AI Data Engineer
Thrive Aviation
Henderson, NV
Thrive Aviation is seeking a Senior AI Data Engineer to lead technical execution of enterprise AI agents, intelligent automation, and integrated applications. Working directly with…
Added 17 mins ago
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Senior Engineer
REMEDY MEDICAL PROPERTIES INC
Fairfax, VA
- $25 to $35 USD / hour
…optimal occupant comfort by continuously monitoring the building automation system, making appropriate system adjustments and investigating all HVAC requests. If request is beyond the scope…
Added 17 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 18 mins ago
Senior Principal Mechanical Engineer-Data Center Custom Solutions
Austin, TX · Round Rock, TX · Hopkinton, MA
…customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data…
Added 19 mins ago
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Technical Support Engineer - Electronics/Building Automation
Springs Window Fashions
LONG ISLAND CITY, NY
- $75,000 USD / year
Network Topologies & Protocols (Must possess hands-on familiarity or troubleshooting capabilities):
Added 19 mins ago
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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 21 mins ago
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Principal Data & Analytics Engineer
SynergenX Health Holdings LLC
Houston, TX
- $150,000 USD / year
Work Arrangement: Hybrid — 2–3 days per week onsite

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

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Work requirements

Jobs in the United States