Machine Learning Engineer
San Jose, CA · On-site
Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature ...
San Jose, CA · On-site
Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature ...
San Jose, CA · On-site
Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature ...
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Quick apply
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
San Francisco, CA · On-site
$130 - $180/hr
Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...
San Francisco, CA · On-site
$130 - $180/hr
Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Santa Clara, CA · On-site
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Santa Clara, CA · On-site
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying ...
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying ...
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
San Francisco, CA · On-site
$200K - $280K/yr
We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...
San Francisco, CA · On-site
$200K - $280K/yr
We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...
Pleasanton, CA · On-site
$110 - $150/hr
Contract * W2 position * Work Location: Hybrid type of work in Pleasanton CA. Proficiency in ... Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ...
Pleasanton, CA · On-site
$110 - $150/hr
Contract * W2 position * Work Location: Hybrid type of work in Pleasanton CA. Proficiency in ... Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ...
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
South San Francisco, CA · On-site +1
$55 - $73/hr
Machine Learning Engineer (Contract) Pay rate: $55-73/hr+ (Depends on experience) Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours. Duration: Through Dec ...
South San Francisco, CA · On-site +1
$55 - $73/hr
Machine Learning Engineer (Contract) Pay rate: $55-73/hr+ (Depends on experience) Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours. Duration: Through Dec ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
About the job The Platforms and Devices team encompasses Google's various computing software ... Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ ...
About the job The Platforms and Devices team encompasses Google's various computing software ... Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ ...
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Quick apply
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
$32.89 - $39.76
6% of jobs
$44.51 is the 25th percentile. Wages below this are outliers.
$39.76 - $46.62
27% of jobs
The median wage is $49.85 / hr.
$46.62 - $53.49
35% of jobs
$55.02 is the 75th percentile. Wages above this are outliers.
$53.49 - $60.36
28% of jobs
$60.36 - $67.22
2% of jobs
$67.22 - $74.09
0% of jobs
$74.09 - $80.95
0% of jobs
$80.95 - $87.82
0% of jobs
$87.82 - $94.68
0% of jobs
$94.68 - $101.55
0% of jobs
$101.55 - $108.41
1% of jobs
$32
$53
$108
For Contract Google Machine Learning Engineer jobs in Fremont, CA, the most frequently searched job titles are:
The top searched job categories for Contract Google Machine Learning Engineer jobs in Fremont, CA are:
Cities near Fremont, CA with the most Contract Google Machine Learning Engineer job openings:
Full-time
Medical, PTO
This job post has expired today. Applications are no longer accepted.
6.9
Based on 21 frontline employees who took The Breakroom Quiz
19th of 21 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 San Jose, CA
Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks and tree-based models. Work with large volumes of data, including extracting insights and manipulating big data covering a wide range of information. Collaborate with other ML scientists and engineers to formulate innovative solutions, experiment, and implement advanced ML techniques to solve business problems. Clearly and effectively communicate complex concepts, analysis insights, and modeling results through creative visualization to stakeholders of varying technical levels. Build credit models to predict delinquency, fraud and repayment behavior for merchant loans, conduct experiments to improve model performance and facilitate model deployment. Ensure credit models solve business problems, ensure models' compliance to regulation, enhance internal risk controls and improve operational efficiency to enable the best user experience. Partial telecommuting permitted from a commutable distance.
Minimum Requirements: Master's degree, or foreign equivalent, in Mathematics, Statistics, or a closely related field in the job offered or a related occupation.
Special Skill Requirements:
1. Develop and deploy machine learning models using Python, including NumPy and PyTorch frameworks.
2. Write and optimize SQL queries in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature engineering.
3. Implement deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformers.
4. Apply natural language processing (NLP) techniques for text analytics and language understanding.
5. Conduct experimental design for model building and selection methods.
6. Perform statistical analysis including regression modeling and hypothesis testing.
7. Create analytical visualizations in Python and/or Excel to communicate data insights.
8. Programming on Unix command line and Bash scripting.
9. Use Git for source-code management.
10. Experience in Jupyter Notebooks and/or Google Colab for interactive analysis and modeling.
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:
San Jose, California | Salary: $187,741.00-270,500.00 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