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Privacy Preserving Machine Learning Jobs in Dallas, TX

As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning ... To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

New

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures ...

Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations. * Collaborate with platform engineers to effectively manage cloud ...

Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations. * Collaborate with platform engineers to effectively manage cloud ...

Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations. * Collaborate with platform engineers to effectively manage cloud ...

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Showing results 1-20

Privacy Preserving Machine Learning information

See Dallas, TX salary details

$98.4K

$114.3K

$128.1K

How much do privacy preserving machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for privacy preserving machine learning in Dallas, TX is $114,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $127,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What are popular job titles related to Privacy Preserving Machine Learning jobs in Dallas, TX? For Privacy Preserving Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Dallas, TX look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Privacy Preserving Machine Learning jobs? Cities near Dallas, TX with the most Privacy Preserving Machine Learning job openings:

Machine Learning Engineer II

Chewy

Richardson, TX

$119K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Summary: 

We are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company. 

Responsibilities: 

  • Design and implement robust data pipelines for efficient data ingestion, processing, and feature engineering. 
  • Ensure data quality and consistency for model training and inference. 
  • Work with large datasets and apply data scaling techniques. 
  • Select and build appropriate machine learning models based on business requirements and data characteristics. 
  • Train and evaluate models using various techniques and metrics. 
  • Fine-tune models to achieve optimal performance and efficiency. 
  • Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability. 
  • Implement monitoring and alerting systems to track model performance and identify potential issues. 
  • Optimize models for inference speed and resource utilization. 
  • Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions. 
  • Effectively communicate technical concepts and findings to both technical and non-technical audiences. 

Qualifications: 

  • Master's degree in Computer Science, Machine Learning, or a related field. 
  • 3+ years of experience as a Machine Learning Engineer or in a similar role. 
  • Strong programming skills in Python or another relevant language. 
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). 
  • Experience with SQL and relational databases. 
  • Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift). 
  • Solid understanding of machine learning algorithms and best practices. 
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). 
  • Excellent communication and presentation skills. 

Nice to Have: 

  • Familiarity with big data technologies (e.g., Spark, Iceberg, dbt). 
  • Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly). 
  • Knowledge of retail and e-commerce. 
The base salary range for this role is $119,500 - $190,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011