OneTrust is the trust intelligence cloud platform organizations use to transform trust from an abstract concept into a measurable competitive advantage. Organizations globally use OneTrust to enable the responsible use of data while protecting the privacy rights of individuals, implement and report on their cyber security program, make their social impact goals a reality, and create a speak up culture of trust. Over 14,000 customers use OneTrust's technology, including half of the Global 2,000. OneTrust currently ranks #24 on the Forbes Cloud 100 list of top private cloud companies in the world and employs over 2,000 people in regions across North America, South America, Asia, Europe, and Australia.

Why is this a critical role at OneTrust?  

What is the challenge / type of challenges someone in this role will have the opportunity to take on?  What impact does someone in this role have the opportunity to make within the company, for our customers and on a larger scale in the evolution of privacy and trust? 

As a Principal Machine Learning Engineer at Onetrust, you’ll play a pivotal role in advancing cutting-edge privacy solutions and responsible AI practices through research, innovation and collboration. You will bridge the gap between theoretical algorithms and real-world applications. You'll collaborate closely with data scientists and business stakeholders to transform cutting-edge ideas into tangible solutions that drive business value. Your expertise will be vital in successfully deploying, integrating, and monitoring machine learning models in production.  

Primary Responsibilities 

What are the primary responsibilities and expected results needed to effectively address the challenge(s) and/or deliver on the business objective(s) above?  How do you define success in this role?  We recommend providing 3-5 OKRs.  

• Lead design, development, and deployment of complex ML models and systems, ensuring they align with business goals and user needs. 
• Architect and implement robust, scalable ML solutions, leveraging state-of-the-art techniques and frameworks like Scikit-learn, PyTorch etc. 
• Monitor and optimize model performance, ensuring efficiency, accuracy, and fairness in production environments. 
• Stay abreast of the latest advancements in ML research, actively exploring emerging technologies and identifying opportunities for application within the company. 
• Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering seamless collaboration across teams (data scientists, product managers, software engineers). 
• Mentor and guide junior engineers, fostering their growth and development within the field of Machine Learning. 

What does this person do each day/each week? 

Describe a true to life day in the life for someone in this role.  What do they do and how do they do it?  Goal is to paint a real, genuine picture so candidates can see themselves in the role. 

• Automate the deployment and scaling of machine learning models in production. 
• Help integrate machine learning/GenAI with Onetrust application solutions. 
• Monitor and maintain the performance and accuracy of machine learning models in production. 
• Implement continuous integration and delivery pipelines for machine learning models. 
• Collaborate with data scientists, software engineers, and other stakeholders to ensure the effective deployment and operation of machine learning models. 
• Ensure the security, privacy, and compliance of machine learning models and related data. 
• Stay up-to-date with the latest technology and industry trends in MLOps. 
• Collaborate with data scientists and architects on several projects. 

Job Requirements 

The Right Hire  

What success factors will determine if a person is a Top, Average or Under Performer in this role?  Consider the combination of experience, hard skills, soft skills, intangible characteristics, behaviors / approach to work and motivators needed to hit these objectives and key results and ultimately be successful at OneTrust long term. 

• Experience with machine learning development methodology and best practices including MLOps. 
• Experience with traditional machine learning and/or deep learning techniques using open source frameworks like PyTorch, Scikit-learn, Tensorflow, Keras, etc. 
• Experience in building and deploying Python or Java based enterprise applications. 
• Strong software engineering skills in complex, multi-language systems. 
• Strong understanding of software testing, benchmarking, and continuous integration. 
• Fluency in Python. 
• Ability to translate business needs to technical requirements. 
• Experience working with cloud computing and database systems. 
• Exposure to deploying application as containers on Kubernetes in cloud computing environments. 

Hard Requirements  

List any true, non-negotiable job requirements for the role including but not limited to degree, certifications, hard skills, proficiency level and proven experience.  Limit to only what is necessary to perform in the role.  Required skills must include years of experience or proficiency level. Keep in mind, a candidate must meet all requirements to be considered.  

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field 
• 7+ years of experience as ML engineer/data-scientist with hands-on experience with machine learning libraries/frameworks like PyTorch, scikit-learn, Keras etc. 
• Strong analytical skills 
• Strong communication and writing skills 
• Excellent organizational skills 
• 5+ Years experience on Python 
• 5+ Years experience with relational and/or NoSQL databases 
• 3+ Years experience working with Cloud Platforms (i.e. Microsoft Azure, AWS, GCP) 
• 3+ years experience in MLOps 

 Extra Impressive  

List any additional preferred qualifications, hard skills, work experience, certifications, proficiency level.  Candidate will not be required to have everything below to be considered, but this list will differentiate between a good and a great candidate.  

• Advanced Knowledge of Big Data Technologies: Candidates with experience in distributed systems, such as Apache Hadoop, Apache Spark, or Apache Flink or cloud datawarehouses like Databricks/Snowflake 
• GenAI experience: Candidates who have experience with propriatery or open-source LLMs 
• Cloud Computing Experience: Candidates who have experience with cloud computing platforms, such as AWS, Google Cloud, or Microsoft Azure. This includes expertise in cloud data storage, data processing, and serverless computing 
• DevOps Experience: Candidates who have experience with CI/CD pipelines 
• Data Governance and Compliance: Candidates who have experience with data governance and compliance, such as GDPR and HIPAA 
• Experience in Java and Spring ecosystem 

For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

OneTrust embraces a hybrid working model. Our Working@ OneTrust initiative is our way of clarifying where we hire, how we work together, and where we’re located in that hybrid model.  

The underlying “why” for Working@ is that we are intentional about the culture that we want to create together. That includes bringing teams together, in-person, throughout the year to collaborate, build connections, learn from each other, and celebrate our wins toFinish Stronger.  

We are committed to a flexible approach informed by a set of guiding principles. You’ll see that reflected in our worker designations: “Office-flex” and “Location-flex”.

• Office-flex: Like a traditional hybrid model, OneTrust “Office-flex” employees may be asked to work in an office periodically if they are within a commutable distance to a OneTrust office. This includes coming into the office for our Company Kickoff, Company All Hands, and other larger company events. Beyond that, we give our leaders and teams the flexibility to set additional guidelines based on the nature of your role.  
• Location-flex: Similar to other companies’ remote policies, for OneTrust “Location-flex" roles, you will primarily work from your home office location. However, you may be required to travel to our OneTrust offices or customer sites periodically based on the nature of your role.

Each role may have specific requirements, so we encourage you to verify the location of the role with your recruiter during your first interview.

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 stock options, 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. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.

Check out the following to learn more about OneTrust and its people: 

• OneTrust Careers on YouTube
• @LifeatOneTrust on Instagram

You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.

When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new industry — Trust. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career 

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.