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Lead Machine Learning Engineer

Dallas, TX

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.

As our Lead Machine Learning Engineer, you will be the pioneering hire in our Creative Insight’s ML division, laying the foundation for a team that will grow to include additional ML engineers. You will collaborate closely with our existing team of software engineers to ideate, implement, and integrate ML technologies that analyze ad content performance and optimize audience targeting and modeling. You will be at the forefront of these initiatives, overseeing them from the initial concept stage all the way through to prototyping and implementation, in addition to conducting experiments. You will not throw anything over a wall, nor will you be expected to catch anything thrown.

Responsibilities

    • Develop and implement machine learning models to predict and analyze the performance of digital advertisements.
    • Utilize statistical analysis and ML techniques to understand the correlation between ad content and audience engagement.
    • Lead the ideation, design, and execution of data-driven projects that enhance our ability to target audiences more effectively.
    • Innovate and implement ML solutions that can scale across various platforms and customer segments.
    • Establish metrics and evaluation frameworks to assess the effectiveness of ML models.
    • Wear an MLOps hat: monitor and maintain AI/ML Models in production, determining, for example, when to retrain or replace an existing model.
    • Leverage Generative AI to (for example) deliver AI-assisted asset generation workflows based on historical asset performance. 
    • Mentor and lead a growing team of ML engineers, fostering a collaborative and results-driven environment.

Skills & Experience

    • Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
    • Minimum of 5 years of experience in machine learning, data science, or a similar role, with a proven track record of deploying models in production environments.
    • 2+ years of experience leading and mentoring engineers
    • Strong expertise in programming languages such as Python and ML libraries like TensorFlow, PyTorch, or scikit-learn.
    • Experience in advanced predictive modeling, natural language processing, or computer vision.
    • Deep understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and neural networks (inc. Transformers).
    • Familiarity with Generative AI systems.
    • Experience with data manipulation and analysis using SQL, pandas, or similar tools.
    • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
    • Strong hands-on experience applying Software Engineering principles and practices (e.g. source code control, API design, and design patterns) to machine learning models (and other probabilistic workflows).
    • Excellent communication and leadership skills to lead project teams and interface with clients and stakeholders.

Desirable Attributes

    • Prior experience in digital marketing or advertising technology.
    • Familiarity with cloud computing services like AWS, Google Cloud, or Azure.
    • A deep passion to create a “graph-of-thought” LLM workflow using a DAG (or DAG-like) execution engine.

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.

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