OneTrust
Principal Software Engineer - Artificial Intelligence / Machine Learning
OneTrust, Atlanta, Georgia, United States, 30383
Principal Software Engineer - Artificial Intelligence / Machine Learning
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Strength in Trust OneTrust’s mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses.
The Challenge Are you passionate about pushing the boundaries of what’s possible with artificial intelligence? Join our innovative Platform AI team as a Machine Learning Engineer and help drive the AI transformation across our organization. Our mission is to empower every business unit to leverage AI by building reusable, scalable AI features and infrastructure. As part of our cross-functional team, you’ll work alongside talented engineers and data scientists to develop, deploy, and operationalize cutting‑edge AI solutions that make a real impact company‑wide.
Your Mission As a Machine Learning Engineer, you will play a pivotal role in researching, developing, and implementing state‑of‑the‑art AI models and workflows in Python. You will focus on creating production‑ready, reusable components and robust pipelines that can be leveraged across multiple business domains. Your work will be at the heart of the company’s AI platform, enabling teams to seamlessly adopt and scale AI capabilities for a wide range of use cases.
Your Responsibilities
Design, build, and optimize machine learning models, pipelines, and APIs using Python and state‑of‑the‑art AI frameworks.
Develop reusable, production‑grade components that facilitate rapid AI solution deployment across business units.
Implement configuration‑driven workflows (e.g., YAML) to support scalable and flexible AI system orchestration.
Ensure high‑quality code through comprehensive unit, integration, and exploratory testing with 80% coverage or as per team standards.
Collaboration & Support
Partner with backend, frontend, and product teams to integrate AI models into scalable, user‑facing features.
Participate in technical planning, architecture reviews, and sprint ceremonies to align AI development with platform and business goals.
Share knowledge and collaborate with team members to foster a culture of continuous learning and innovation.
Monitor, evaluate, and improve AI model performance in production environments.
Troubleshoot and resolve issues related to data pipelines, model inference, and deployment.
Document workflows, best practices, and model configurations to ensure reproducibility and transparency.
Conduct peer reviews and provide constructive feedback on machine learning code and processes.
Advocate for best practices in ML engineering, testing, and automation.
Stay current with advancements in AI/ML, actively exploring and experimenting with new techniques, architectures, and frameworks.
Bring a spirit of curiosity, experimentation, and passion for AI.
You Are An enthusiastic and innovative engineer with a strong desire to solve complex problems using artificial intelligence. You have a solid foundation in Python programming and a deep interest in state‑of‑the‑art AI, whether or not your current role has allowed you to fully pursue it. You thrive in a collaborative, cross‑functional environment and are excited to contribute to an ambitious mission of company‑wide AI adoption.
Your Experience Includes
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of professional software engineering experience, with a strong focus on frontend development.
Hands‑on experience with one or more modern AI/ML frameworks (such as TensorFlow, PyTorch, Hugging Face, scikit‑learn, or similar).
Experience designing and deploying production‑grade machine learning models and pipelines.
Familiarity with configuration‑driven workflows and orchestration using tools like YAML.
Experience with cloud‑based ML platforms (Azure, GCP, AWS) and containerization (Docker) is a plus.
Strong testing, debugging, and documentation skills.
Excellent collaboration and communication abilities.
Demonstrated curiosity and passion for AI, with a willingness to continuously learn and grow in the field.
Salary Range (California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington) $139,725—$209,587.50 USD
Where We Work We are embracing an office‑first culture, encouraging three days a week in‑office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company‑paid privacy certification exam fees, and much more.
Equal Employment Opportunity OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Senior Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
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Strength in Trust OneTrust’s mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses.
The Challenge Are you passionate about pushing the boundaries of what’s possible with artificial intelligence? Join our innovative Platform AI team as a Machine Learning Engineer and help drive the AI transformation across our organization. Our mission is to empower every business unit to leverage AI by building reusable, scalable AI features and infrastructure. As part of our cross-functional team, you’ll work alongside talented engineers and data scientists to develop, deploy, and operationalize cutting‑edge AI solutions that make a real impact company‑wide.
Your Mission As a Machine Learning Engineer, you will play a pivotal role in researching, developing, and implementing state‑of‑the‑art AI models and workflows in Python. You will focus on creating production‑ready, reusable components and robust pipelines that can be leveraged across multiple business domains. Your work will be at the heart of the company’s AI platform, enabling teams to seamlessly adopt and scale AI capabilities for a wide range of use cases.
Your Responsibilities
Design, build, and optimize machine learning models, pipelines, and APIs using Python and state‑of‑the‑art AI frameworks.
Develop reusable, production‑grade components that facilitate rapid AI solution deployment across business units.
Implement configuration‑driven workflows (e.g., YAML) to support scalable and flexible AI system orchestration.
Ensure high‑quality code through comprehensive unit, integration, and exploratory testing with 80% coverage or as per team standards.
Collaboration & Support
Partner with backend, frontend, and product teams to integrate AI models into scalable, user‑facing features.
Participate in technical planning, architecture reviews, and sprint ceremonies to align AI development with platform and business goals.
Share knowledge and collaborate with team members to foster a culture of continuous learning and innovation.
Monitor, evaluate, and improve AI model performance in production environments.
Troubleshoot and resolve issues related to data pipelines, model inference, and deployment.
Document workflows, best practices, and model configurations to ensure reproducibility and transparency.
Conduct peer reviews and provide constructive feedback on machine learning code and processes.
Advocate for best practices in ML engineering, testing, and automation.
Stay current with advancements in AI/ML, actively exploring and experimenting with new techniques, architectures, and frameworks.
Bring a spirit of curiosity, experimentation, and passion for AI.
You Are An enthusiastic and innovative engineer with a strong desire to solve complex problems using artificial intelligence. You have a solid foundation in Python programming and a deep interest in state‑of‑the‑art AI, whether or not your current role has allowed you to fully pursue it. You thrive in a collaborative, cross‑functional environment and are excited to contribute to an ambitious mission of company‑wide AI adoption.
Your Experience Includes
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of professional software engineering experience, with a strong focus on frontend development.
Hands‑on experience with one or more modern AI/ML frameworks (such as TensorFlow, PyTorch, Hugging Face, scikit‑learn, or similar).
Experience designing and deploying production‑grade machine learning models and pipelines.
Familiarity with configuration‑driven workflows and orchestration using tools like YAML.
Experience with cloud‑based ML platforms (Azure, GCP, AWS) and containerization (Docker) is a plus.
Strong testing, debugging, and documentation skills.
Excellent collaboration and communication abilities.
Demonstrated curiosity and passion for AI, with a willingness to continuously learn and grow in the field.
Salary Range (California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington) $139,725—$209,587.50 USD
Where We Work We are embracing an office‑first culture, encouraging three days a week in‑office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company‑paid privacy certification exam fees, and much more.
Equal Employment Opportunity OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Senior Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
#J-18808-Ljbffr