Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, or a ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, or a ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Job Summary We are seeking a Machine Learning Engineer with strong hands-on experience in building ... The role involves working with structured data, NLP, time series models, and modern LLM concepts ...
Job Summary We are seeking a Machine Learning Engineer with strong hands-on experience in building ... The role involves working with structured data, NLP, time series models, and modern LLM concepts ...
You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You're right ...
You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You're right ...
Machine Learning Engineer, Apple Store Online
$126K - $220K/yr
... data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning ...
Machine Learning Engineer, Apple Store Online
$126K - $220K/yr
... data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning ...
Sr Machine Learning Engineer
$55.25 - $73/hr
... machine learning, and AI models across key business areas such as credit, fraud, marketing, and ... It involves assessing model soundness, data quality, and performance to identify and mitigate model ...
Sr Machine Learning Engineer
$55.25 - $73/hr
... machine learning, and AI models across key business areas such as credit, fraud, marketing, and ... It involves assessing model soundness, data quality, and performance to identify and mitigate model ...
Machine Learning Engineer, Apple Store Online
$126K - $220K/yr
... data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning ...
Machine Learning Engineer, Apple Store Online
$126K - $220K/yr
... data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning ...
Senior Machine Learning Engineer
Austin, TX · On-site +1
$121K - $160K/yr
Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ...
Senior Machine Learning Engineer
Austin, TX · On-site +1
$121K - $160K/yr
Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ...
Machine Learning Engineer
Austin, TX · On-site
Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... The role partners across data, engineering, business applications, operations, IAM, and governance ...
Machine Learning Engineer
Austin, TX · On-site
Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... The role partners across data, engineering, business applications, operations, IAM, and governance ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication ...
Machine Learning Engineer, Apple Store Online
$126K - $220K/yr
... data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning ...
Machine Learning Engineer, Apple Store Online
$126K - $220K/yr
... data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning ...
Machine Learning Scientist III - VRBO Pricing
Austin, TX · On-site
$220K/yr
Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one ... The Machine Learning Science team is building a scalable and robust system to enable pricing as a ...
Machine Learning Scientist III - VRBO Pricing
Austin, TX · On-site
$220K/yr
Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one ... The Machine Learning Science team is building a scalable and robust system to enable pricing as a ...
Machine Learning Engineer, Motion Planning & Prediction
Austin, TX · On-site
$113K - $136K/yr
About the Team Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning ...
Machine Learning Engineer, Motion Planning & Prediction
Austin, TX · On-site
$113K - $136K/yr
About the Team Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning ...
Machine Learning Engineer
Austin, TX · Hybrid
Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... The role partners across data, engineering, business applications, operations, IAM, and governance ...
Machine Learning Engineer
Austin, TX · Hybrid
Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... The role partners across data, engineering, business applications, operations, IAM, and governance ...
Machine Learning Experts - PhD - AI Training - US
Austin, TX · On-site +1
$150/hr
Machine Learning Experts - PhD - AI Training About Prolific Prolific is not just another player in ... Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid ...
Quick apply
Machine Learning Experts - PhD - AI Training - US
Austin, TX · On-site +1
$150/hr
Machine Learning Experts - PhD - AI Training About Prolific Prolific is not just another player in ... Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid ...
Senior Machine Learning Engineer
$181K - $318K/yr
Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...
Senior Machine Learning Engineer
$181K - $318K/yr
Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...
Senior Machine Learning Engineer
$181K - $318K/yr
Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...
Senior Machine Learning Engineer
$181K - $318K/yr
Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...
Senior Machine Learning Engineer
$181K - $318K/yr
Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...
Senior Machine Learning Engineer
$181K - $318K/yr
Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The Sr. Manager of Colocation Machine Learning leads a team of individual contributors across AMER ... We support all AWS data centers and all of the servers, storage, networking, power, and cooling ...
The Sr. Manager of Colocation Machine Learning leads a team of individual contributors across AMER ... We support all AWS data centers and all of the servers, storage, networking, power, and cooling ...
Full Time Machine Learning Data Annotation information
See Austin, TX salary details
$37.2K - $51.5K
2% of jobs
$51.5K - $65.8K
3% of jobs
$65.8K - $80.2K
6% of jobs
$80.2K - $94.5K
9% of jobs
$99.1K is the 25th percentile. Wages below this are outliers.
$94.5K - $108.8K
15% of jobs
The median wage is $118.4K / yr.
$108.8K - $123.1K
22% of jobs
$131K is the 75th percentile. Wages above this are outliers.
$123.1K - $137.5K
32% of jobs
$137.5K - $151.8K
3% of jobs
$151.8K - $166.1K
4% of jobs
$166.1K - $180.4K
1% of jobs
$180.4K - $194.8K
2% of jobs
$37.2K
$121.7K
$194.8K
How much do full time machine learning data annotation jobs pay per year?
What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?
What are Full Time Machine Learning Data Annotation jobs?
What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?
What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?
| Aspect | Full Time Machine Learning Data Annotation | Data Labeling Specialist |
|---|---|---|
| Credentials | High school diploma or equivalent; some roles prefer technical certifications | High school diploma or equivalent; training often provided on the job |
| Work Environment | Office or remote; collaborative with data science teams | Remote or office; focused on labeling tasks |
| Industry Usage | Used across AI/ML companies, tech firms, and startups | Common in AI/ML, data services, and outsourcing companies |
| Job Focus | Creating labeled datasets for machine learning models | Annotating data such as images, videos, or text for AI training |
Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.
PayPal rating
6.8
Based on 18 frontline employees who took The Breakroom Quiz
15th of 17 rated payment service providers
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:
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.
About PayPal
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.
Industry
Software development
Company size
10,000+ Employees
Headquarters location
San Jose, CA, US
Year founded
1998