Principal Machine Learning Engineer @ OneTrust

Strength in Trust

OneTrust unlocks the full potential of data and AI, securely and responsibly. Our platform enforces the secure handling of company data, empowering organizations to drive innovation responsibly while mitigating risks. With a comprehensive suite of solutions spanning data and AI security, privacy, governance, risk, ethics, and compliance, OneTrust enables seamless collaboration between data teams and risk teams to enable rapid and trusted innovation. Recognized as the market leader in trust, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses.

The Challenge:

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 collaboration. 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.

Your Mission:

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.

You Are:

Experience in leading design, development, and deployment of complex ML models and systems, ensuring they align with business goals and user needs.
Able to architect and implement robust, scalable ML solutions, leveraging state-of-the-art techniques and frameworks like Scikit-learn, PyTorch etc.
Focused on monitoring and optimizing model performance, ensuring efficiency, accuracy, and fairness in production environments.
Interested in staying abreast of the latest advancements in ML research, actively exploring emerging technologies and identifying opportunities for application within the company.
Skilled in effectively communicating complex technical concepts to both technical and non-technical audiences, fostering seamless collaboration across teams (data scientists, product managers, software engineers).
A mentor and guide junior engineers, fostering their growth and development within the field of Machine Learning.
Experienced with machine learning development methodology and best practices including MLOps.
Experienced with traditional machine learning and/or deep learning techniques using open source frameworks like PyTorch, Scikit-learn, Tensorflow, Keras, etc.
Experienced in building and deploying Python or Java based enterprise applications.
A skilled software engineer in working with complex, multi-language systems.
Understanding of software testing, benchmarking, and continuous integration.
Fluent in Python.
Able to translate business needs to technical requirements.
Experienced working with cloud computing and database systems.
Able to deploy applications as containers on Kubernetes in cloud computing environments.

Your Skills Include:

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.
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:

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.

Salary Range

$135,000—$202,500 USD

Where we Work

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 berequired 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.

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 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.

Resources

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

Your Data

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.

*Scam Disclaimer* OneTrust is aware of a scam requesting interview availability and sending job offers from illegitimate email addresses. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address.

Our Commitment to You

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.

Compensation Overview