Machine Learning Engineer
Austin, TX · On-site
Conduct quantitative and qualitative model validation in line with internal Model Risk Management ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Austin, TX · On-site
Conduct quantitative and qualitative model validation in line with internal Model Risk Management ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Austin, TX · On-site
Conduct quantitative and qualitative model validation in line with internal Model Risk Management ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Plano, TX · On-site +1
$98K - $129K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
Plano, TX · On-site +1
$98K - $129K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
Machine Learning Engineer This job will validate and develop machine learning models and algorithms ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Machine Learning Engineer This job will validate and develop machine learning models and algorithms ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
... equivalent quantitative fields. * Expert in one or multiple areas of machine learning, causal ... inference, and operations research. * Comfortable to analyze complicated data sets to generate ...
... equivalent quantitative fields. * Expert in one or multiple areas of machine learning, causal ... inference, and operations research. * Comfortable to analyze complicated data sets to generate ...
Houston, TX · On-site
$116K - $154K/yr
... quantitative field • Fluency in Python for both data science and engineering purposes: clean ... machine learning or statistical models, with a proven track record of delivering end-to-end ...
Houston, TX · On-site
$116K - $154K/yr
... quantitative field • Fluency in Python for both data science and engineering purposes: clean ... machine learning or statistical models, with a proven track record of delivering end-to-end ...
Austin, TX · On-site
$55.25 - $73/hr
D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...
Austin, TX · On-site
$55.25 - $73/hr
D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...
Plano, TX · On-site +1
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
Plano, TX · On-site +1
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field * 8+ years ...
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field * 8+ years ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
| Aspect | Internship Machine Learning Quant | Data Scientist Intern |
|---|---|---|
| Required Credentials | Strong programming skills, basic finance knowledge, coursework in machine learning | Statistics, programming, domain knowledge, coursework in data analysis |
| Work Environment | Financial firms, hedge funds, quantitative trading teams | Tech companies, startups, research labs |
| Industry Usage | Finance, trading, quantitative research | Technology, marketing, healthcare analytics |
| Common Search Intent | Internship roles in finance with machine learning focus | Internship roles in data science across industries |
Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.
6.8
Based on 18 frontline employees who took The Breakroom Quiz
16th of 18 rated payment service providers
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:
Job Description:
PayPal, Inc. seeks Machine Learning Engineer in Austin, TX
Job Duties: Gather, analyze and implement high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to Natural Language Processing (NLP) models and Generative AI. Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use. Maintain technical documentation of AI/ML model development and validation. Collaborate with business units and model developers to ensure model issues are agreed and remediated in a timely manner. Build effective relationship with stakeholders from various teams such as data science, engineering, product, customer service/complaints, compliance, audit. Research latest AI/ML advancements and explore opportunities for innovation. Partial telecommuting permitted from within a commutable distance.
Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, or a closely related field plus one year of experience in the job offered or a related occupation.
Special Skill Requirements:
1. Experience developing and deploying statistical model and data-driven applications using Python to analyze multi-terabyte datasets, generate actionable insights and support decision-making for business operation (1 year).
2. Experience analyzing and interpreting credit reports and credit data to derive business insights (1 year).
3. Experience querying, manipulating, and analyzing multi-terabyte datasets, including external bureau data, using SQL to enable advanced business analytics in large-scale operational environments (1 year).
4. Experience building interactive dashboard and data visualizations with Tableau/Looker Studio to communicate customer analytics to stakeholders (1 year).
5. Experience designing, implementing, and deploying machine learning models for business applications (1 year).
6. Experience extracting, transforming, and selecting meaningful features from credit datasets to improve model performance (1 year).
7. Experience conducting statistical analysis and hypothesis testing to uncover meaningful trends and generate actionable recommendations (1 year).
8. Experience working with Generative AI architectures, including Large Language Model (LLMs), to analyze, automate, and enhance internal tool process - such as developing NLP-driven transcription and summarization tools (1 year).
Additional Responsibilities & Preferred Qualifications:
EOE, including disability/vets.
The base pay for this role will depend on where you work and the relevant experience andexpertiseyou bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
Austin, TX | Salary: $117,500.00-199,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Additionalcompensation 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:
PayPalTravel Percent:
0PayPal 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 atpaypalglobaltalentacquisition@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.
Sourced by ZipRecruiter
PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. 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.
Software development
10,000+ Employees
San Jose, CA, US
1998