Senior Applied Scientist – Defect Elimination Research at careerzynith

Remote, USA Full-time Posted 2026-05-31
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At careerzynith, we're revolutionizing the way we approach customer service by harnessing the power of advanced AI and Machine Learning (ML) techniques. As a Senior Applied Scientist on our Worldwide Defect Elimination (WWDE) team, you'll play a pivotal role in developing innovative solutions that detect and organize issues, identify root causes, and route them to resolving teams across the company. If you're passionate about leveraging cutting-edge technologies to drive customer satisfaction and loyalty, we want to hear from you.

  • *About careerzynith**

careerzynith is a global leader in e-commerce, and our commitment to customer satisfaction is at the heart of everything we do. We believe that our customers are invited guests to a party, and it's our job every day to make every important aspect of the customer experience a little bit better. Our WWDE team is dedicated to building products that offer appropriate resolutions to resolve issues faced by our customers, and we're looking for talented scientists like you to join our mission.

  • *Key Responsibilities**

As a Senior Applied Scientist on our WWDE team, you'll be responsible for:

  • Delivering solutions to core business problems and influencing business partners
  • Researching and developing modeling techniques for NLP, DL, and ML
  • Establishing scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)
  • Developing scientific talent on the team
  • *Essential Qualifications**

To be successful in this role, you'll need:

  • 5+ years of building deep learning or machine learning models for business application experience
  • Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field
  • Deep knowledge in one or more areas of machine learning or deep learning
  • Proficient with common ML and DL frameworks such as PyTorch
  • Experience programming in Java, Python or related language
  • *Preferred Qualifications**

If you have:

  • PhD in computer science, machine learning, statistics, mathematics or equivalent quantitative field
  • Experience in patents or publications at top-tier peer-reviewed conferences or journal
  • Strong experience with NLP and generative deep learning models (i.e. LLM)
  • Exceptional communication and collaboration skills
  • *Skills and Competencies**

To succeed in this role, you'll need to possess:

  • Strong problem-solving skills and ability to think critically
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced environment and prioritize multiple tasks
  • Strong analytical and technical skills
  • Experience with cloud-based technologies and big data processing
  • *Career Growth Opportunities and Learning Benefits**

At careerzynith, we're committed to helping our scientists grow and develop their careers. As a Senior Applied Scientist, you'll have opportunities to:

  • Collaborate with cross-functional teams to advance the state of defect elimination research
  • Develop and lead research projects that drive business impact
  • Mentor and develop scientific talent on the team
  • Participate in careerzynith's comprehensive training and development programs
  • *Work Environment and Company Culture**

careerzynith is a dynamic and inclusive workplace that values diversity, equity, and inclusion. We're committed to creating a work environment that's welcoming and supportive of all employees. As a Senior Applied Scientist, you'll have the opportunity to work with a talented team of scientists and engineers who are passionate about using AI and ML to drive customer satisfaction and loyalty.

  • *Compensation, Perks, and Benefits**

careerzynith offers a competitive compensation package that includes:

  • Salary: $150,000 - $200,000 per year
  • Bonus: up to 20% of annual salary
  • Stock options: 10% of annual salary
  • Comprehensive benefits package, including medical, dental, and vision insurance
  • 401(k) matching program
  • Flexible work arrangements, including remote work options
  • Access to careerzynith's comprehensive training and development programs
  • *How to Apply**

If you're passionate about using AI and ML to drive customer satisfaction and loyalty, we want to hear from you. Please submit your application, including your resume and a cover letter, to [careerzynith Careers](https://careerzynith.com/careers). We can't wait to hear from you!

  • *About careerzynith**

careerzynith is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. We're committed to creating a diverse and inclusive workplace that values and celebrates the unique perspectives and experiences of all employees.

  • *Join the careerzynith Team**

At careerzynith, we're passionate about using AI and ML to drive customer satisfaction and loyalty. If you're passionate about this role and want to make an impact on a global scale, please apply. We can't wait to hear from you!

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Senior Applied Scientist – Defect Elimination Research at careerzynith

At careerzynith, we're revolutionizing the way we approach customer service by harnessing the power of advanced AI and Machine Learning (ML) techniques. As a Senior Applied Scientist on our Worldwide Defect Elimination (WWDE) team, you'll play a pivotal role in developing innovative solutions that detect and organize issues, identify root causes, and route them to resolving teams across the company. If you're passionate about leveraging cutting-edge technologies to drive customer satisfaction and loyalty, we want to hear from you.

About careerzynith

careerzynith is a global leader in e-commerce, and our commitment to customer satisfaction is at the heart of everything we do. We believe that our customers are invited guests to a party, and it's our job every day to make every important aspect of the customer experience a little bit better. Our WWDE team is dedicated to building products that offer appropriate resolutions to resolve issues faced by our customers, and we're looking for talented scientists like you to join our mission.

Key Responsibilities


  • Deliver solutions to core business problems and influencing business partners

  • Research and develop modeling techniques for NLP, DL, and ML

  • Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)

  • Develop scientific talent on the team

Essential Qualifications


  • 5+ years of building deep learning or machine learning models for business application experience

  • Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field

  • Deep knowledge in one or more areas of machine learning or deep learning

  • Proficient with common ML and DL frameworks such as PyTorch

  • Experience programming in Java, Python or related language

Preferred Qualifications


  • PhD in computer science, machine learning, statistics, mathematics or equivalent quantitative field

  • Experience in patents or publications at top-tier peer-reviewed conferences or journal

  • Strong experience with NLP and generative deep learning models (i.e. LLM)

  • Exceptional communication and collaboration skills

Skills and Competencies


  • Strong problem-solving skills and ability to think critically

  • Excellent communication and collaboration skills

  • Ability to work in a fast-paced environment and prioritize multiple tasks

  • Strong analytical and technical skills

  • Experience with cloud-based technologies and big data processing

Career Growth Opportunities and Learning Benefits

At careerzynith, we're committed to helping our scientists grow and develop their careers. As a Senior Applied Scientist, you'll have opportunities to:


  • Collaborate with cross-functional teams to advance the state of defect elimination research

  • Develop and lead research projects that drive business impact

  • Mentor and develop scientific talent on the team

  • Participate in careerzynith's comprehensive training and development programs

Work Environment and Company Culture

careerzynith is a dynamic and inclusive workplace that values diversity, equity, and inclusion. We're committed to creating a work environment that's welcoming and supportive of all employees. As a Senior Applied Scientist, you'll have the opportunity to work with a talented team of scientists and engineers who are passionate about using AI and ML to drive customer satisfaction and loyalty.

Compensation, Perks, and Benefits

careerzynith offers a competitive compensation package that includes:


  • Salary: $150,000 - $200,000 per year

  • Bonus: up to 20% of annual salary

  • Stock options: 10% of annual salary

  • Comprehensive benefits package, including medical, dental, and vision insurance

  • 401(k) matching program

  • Flexible work arrangements, including remote work options

  • Access to careerzynith's comprehensive training and development programs

How to Apply

If you're passionate about using AI and ML to drive customer satisfaction and loyalty, we want to hear from you. Please submit your application, including your resume and a cover letter, to [careerzynith Careers](https://careerzynith.com/careers). We can't wait to hear from you!

About careerzynith

careerzynith is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. We're committed to creating a diverse and inclusive workplace that values and celebrates the unique perspectives and experiences of all employees.

Join the careerzynith Team

At careerzynith, we're passionate about using AI and ML to drive customer satisfaction and loyalty. If you're passionate about this role and want to make an impact on a global scale, please apply. We can't wait to hear from you!


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