... NLP) models and Generative AI. Conduct quantitative and qualitative model validation in line with ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
... NLP) models and Generative AI. Conduct quantitative and qualitative model validation in line with ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Senior Machine Learning Engineer
Plano, TX · On-site
$100K - $137K/yr
Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP. * Own end-to ...
Senior Machine Learning Engineer
Plano, TX · On-site
$100K - $137K/yr
Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP. * Own end-to ...
Senior Machine Learning Engineer
Plano, TX · On-site
$100K - $137K/yr
Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP. * Own end-to ...
Senior Machine Learning Engineer
Plano, TX · On-site
$100K - $137K/yr
Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP. * Own end-to ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow ... Stay current on emerging trends in generative AI, NLP, and computer vision to drive future ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow ... Stay current on emerging trends in generative AI, NLP, and computer vision to drive future ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow ... Stay current on emerging trends in generative AI, NLP, and computer vision to drive future ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow ... Stay current on emerging trends in generative AI, NLP, and computer vision to drive future ...
Sr. Data Scientist
Irving, TX · On-site
Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers * Generative AI techniques: Experience with GANs, text-to-image ...
Sr. Data Scientist
Irving, TX · On-site
Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers * Generative AI techniques: Experience with GANs, text-to-image ...
Principal Machine Learning Engineer (MLE)
Dallas, TX · On-site +1
Job Summary As a Principal Machine Learning Engineer, you will design, build, deploy, and scale ... Apply strong knowledge of NLP fundamentals, including transformers, attention mechanisms ...
Principal Machine Learning Engineer (MLE)
Dallas, TX · On-site +1
Job Summary As a Principal Machine Learning Engineer, you will design, build, deploy, and scale ... Apply strong knowledge of NLP fundamentals, including transformers, attention mechanisms ...
PhD/MS in Computer Science or Electrical and Computer Engineering with specialization of machine learning, computer vision, NLP, speech recognition. * Experience with training deep learning models ...
PhD/MS in Computer Science or Electrical and Computer Engineering with specialization of machine learning, computer vision, NLP, speech recognition. * Experience with training deep learning models ...
Stay ahead of emerging trends in AI, machine learning, NLP, and generative AI, evaluating opportunities to create competitive advantage and measurable business value for Chewy. What You'll Need
Stay ahead of emerging trends in AI, machine learning, NLP, and generative AI, evaluating opportunities to create competitive advantage and measurable business value for Chewy. What You'll Need
Data Scientist
Addison, TX · On-site
The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models. REQUIRED SKILLS * 7+ years of ...
Data Scientist
Addison, TX · On-site
The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models. REQUIRED SKILLS * 7+ years of ...
This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring. Responsibilities : • Design high-performance systems ...
This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring. Responsibilities : • Design high-performance systems ...
This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring. Responsibilities : • Design high-performance systems ...
This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring. Responsibilities : • Design high-performance systems ...
Senior Machine Learning Engineer
Houston, TX · On-site
$99K - $137K/yr
Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Practical application of NLP techniques (sentiment analysis, entity recognition) and knowledge ...
Quick apply
Senior Machine Learning Engineer
Houston, TX · On-site
$99K - $137K/yr
Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Practical application of NLP techniques (sentiment analysis, entity recognition) and knowledge ...
ML Features Solutions Engineer
Austin, TX · On-site
$81K - $109K/yr
... Machine Learning, NLP, or related field • Experience with custom hardware acceleration (TPUs, custom ASICs) • Hands-on experience with inference frameworks: vLLM, TensorRT-LLM, or similar • ...
ML Features Solutions Engineer
Austin, TX · On-site
$81K - $109K/yr
... Machine Learning, NLP, or related field • Experience with custom hardware acceleration (TPUs, custom ASICs) • Hands-on experience with inference frameworks: vLLM, TensorRT-LLM, or similar • ...
Senior AI Engineer
$103K - $142K/yr
Build cutting-edge solutions across machine learning, NLP, generative AI, LLMs, and multi-agent orchestration * Drive innovation across our product portfolio by solving real-world problems Key ...
Senior AI Engineer
$103K - $142K/yr
Build cutting-edge solutions across machine learning, NLP, generative AI, LLMs, and multi-agent orchestration * Drive innovation across our product portfolio by solving real-world problems Key ...
Machine Learning Engineer - Senior (6-10 Yrs)
$103K - $142K/yr
Machine Learning Engineer The Intelligent Assistant is an AI powered conversational scalable ... NLP or large language models Experience working in GCP or AWS clouds Demonstrated ability to work ...
Machine Learning Engineer - Senior (6-10 Yrs)
$103K - $142K/yr
Machine Learning Engineer The Intelligent Assistant is an AI powered conversational scalable ... NLP or large language models Experience working in GCP or AWS clouds Demonstrated ability to work ...
Preferred Qualifications • Experience with Claude or other frontier AI models in production settings. • Background in machine learning, NLP, or related fields. • Experience with A/B testing and ...
Preferred Qualifications • Experience with Claude or other frontier AI models in production settings. • Background in machine learning, NLP, or related fields. • Experience with A/B testing and ...
AI/ML Architect
$130K - $180K/yr
Strong expertise in machine learning, deep learning, NLP, and computer vision * Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks * Experience with cloud AI platforms ...
AI/ML Architect
$130K - $180K/yr
Strong expertise in machine learning, deep learning, NLP, and computer vision * Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks * Experience with cloud AI platforms ...
Preferred Skills NLP, Deep Learning, Data visualization, Scala, Django. Our candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune Clients)
Preferred Skills NLP, Deep Learning, Data visualization, Scala, Django. Our candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune Clients)
Fundamental understanding of NLP, transformer, embedding space and evaluation metrics * Design and implement finetuning SLMs, Core Machine learning models and data ingestion pipelines * Experience in ...
Fundamental understanding of NLP, transformer, embedding space and evaluation metrics * Design and implement finetuning SLMs, Core Machine learning models and data ingestion pipelines * Experience in ...
Machine Learning Nlp information
See Texas salary details
$34.9K - $48.4K
2% of jobs
$48.4K - $61.9K
3% of jobs
$61.9K - $75.3K
6% of jobs
$75.3K - $88.8K
9% of jobs
$93.1K is the 25th percentile. Wages below this are outliers.
$88.8K - $102.3K
15% of jobs
The median wage is $111.2K / yr.
$102.3K - $115.7K
22% of jobs
$123.1K is the 75th percentile. Wages above this are outliers.
$115.7K - $129.2K
32% of jobs
$129.2K - $142.7K
3% of jobs
$142.7K - $156.1K
4% of jobs
$156.1K - $169.6K
1% of jobs
$169.6K - $183.1K
2% of jobs
$34.9K
$114.3K
$183.1K
How much do machine learning nlp jobs pay per year?
What is a Machine Learning NLP job?
A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.
What are the typical daily responsibilities of a Machine Learning NLP specialist?
As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.
What are the key skills and qualifications needed to thrive in the Machine Learning Nlp position, and why are they important?
To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.
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PayPal rating
6.8
Based on 18 frontline employees who took The Breakroom Quiz
15th of 17 rated payment service providers
Job description
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 and expertise you 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.
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:
0
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.
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