Machine Learning Engineer III

We are PMG

Named Ad Age Best Places to Work for 9 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG utilizes business strategy and transformation, creative, media, and insights—as well as its proprietary marketing intelligence platform, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Best Western Hotels & Resorts, CKE Restaurants, Experian, Intuit, Kohler, Nike, Sephora, Therabody, and Whole Foods spans 85+ countries.

Who You’ll Be Working With

At PMG, we’re redefining digital marketing by blending cutting-edge technology with innovative thinking. As a Machine Learning Engineer, you’ll join a passionate and collaborative team dedicated to building advanced models that analyze ad performance, optimize audience targeting, and drive impactful results for some of the world’s most iconic brands.

This role isn’t just about building models—it’s about solving real-world challenges and creating smarter workflows that shape the future of advertising. You’ll work closely with talented software engineers, product managers, and business stakeholders to develop and scale AI-driven solutions that empower marketers and drive success for global campaigns. At PMG, we value curiosity, creativity, and collaboration, and your contributions will play a key role in advancing both our technology and the success of our clients.

This is your opportunity to make a tangible impact while growing your expertise, exploring innovative ideas, and being part of a team that celebrates innovation and fosters continuous growth. If you’re passionate about AI, love solving complex challenges, and want to shape the future of marketing technology, this role is for you.

What You’ll Be Doing

• Build, train, and refine machine learning models that predict and analyze digital ad performance.
• Experiment with advanced techniques such as transformers and deep learning frameworks to enhance predictive accuracy.
• Perform data exploration, feature engineering, and data cleaning using tools like SQL and Polars to prepare high-quality datasets for modeling.
• Investigate patterns in ad content and audience engagement, using insights to inform and improve model development.
• Partner with product managers and business stakeholders to determine how ML/AI technologies can best support business objectives.
• Collaborate with software engineers to seamlessly integrate ML solutions into existing tech stacks, ensuring smooth deployment and monitoring.
• Contribute to API design and data pipeline setup, following best practices for version control and project organization.
• Deploy and maintain ML models in production, including setting up monitoring, logging, and alerting systems.
• Collaborate with engineering teams to manage model drift, retraining schedules, and optimization strategies for long-term success.
• Leverage historical performance data to create AI-assisted workflows that enhance creativity and efficiency.
• Maintain clear and thorough documentation for models, experiments, and best practices to ensure knowledge sharing and scalability.
• Participate in sprint planning, code reviews, and team discussions to foster collaboration and continuous learning.

What You Will Bring

• 3+ years of experience in machine learning, data science, or a related role, with a Bachelor’s or master’s degree in computer science, machine learning, statistics, or a related field.
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn for building and deploying machine learning models.
• Strong understanding of machine learning concepts, including supervised, unsupervised, and deep learning models.
• Experience with data manipulation and feature engineering tools like SQL, Polars, Pandas, and NumPy.
• Familiarity with software engineering best practices, including version control (Git), code reviews, and CI/CD pipelines.
• Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models and managing infrastructure.
• Interest in or knowledge of generative AI technologies, such as GPT models, diffusion models, or related frameworks.
• Experience with ML model evaluation and monitoring, ensuring optimal performance in production environments.
• Exposure to or familiarity with containerization tools like Docker and orchestration tools like Kubernetes for managing machine learning workflows.
• Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex challenges.
• Excellent communication skills and a data-driven mindset, with a structured approach to experimentation and decision-making.
• A collaborative mindset, thriving in cross-functional team environments and contributing to shared goals.
• A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.

What We Offer

• Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
• Generous PTO: Benefit from our generous paid time off policy to recharge and spend time with loved ones.
• Parental Leave: We provide paid parental leave to support your family during important life events.
• Retirement Plans: Plan for your future with our competitive 401(k) matching program.
• Fertility and Family Support: Access fertility benefits for all team members and their spouses.
• Pet Insurance: Protect your pet's health and your finances.
• Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
• Annual Bonus: All employees are eligible for an annual bonus.
• Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
• AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.