Machine Learning Engineer

Job#: 2040129

Job Description:

• The team is responsible for the systems and algorithms for showing the right ad to the right user at the right time to balance all of user value, advertiser value, and revenue.
• The team optimizes a multi-sided marketplace to ensure customers see ads that help them try new products/brands, advertisers get their products out in front of appropriate users for a good return on investment, and generates the deserving revenue as well.
• The team tackles hard problems in a variety of spaces, such as ranking, pricing, personalization, auction, UX as well as foundational problems executing on a high throughput system with dynamic data.
• The ML Group is at the forefront of initiatives, overseeing them from the initial concept stage all the way through to prototyping and implementation, in addition to conducting experiments.

• These Machine Learning Engineers are focused on addressing and solving critical, complex issues in their marketplace systems.
• Specifically, they are responsible for the intelligence and execution behind the marketing systems and processes.
• They will be responsible for supporting the Marketing Team’s CRM systems to optimize user understanding as well as predictive targeting campaigns.
• Each MLE will work to design, develop, and deploy machine learning solutions to tackle practical challenges in the ads organization.
• Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
• Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
• Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

• A graduate degree (master’s or PhD) in artificial intelligence, machine learning, operations research or equivalent self-study and experience.
• Extensive experience with artificial intelligence, machine learning, operations research as well as deep learning frameworks and methodologies.
• Ability to apply machine learning and optimization techniques to solve marketplace problems.
• Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/TensorFlow) tools.
• Natural Language Processing (NLP), large language models, generative AI, conversational AI, predictive customer value as well as prediction modeling and computer vision.

• Python
• SQL
• Data Engineering
• XGBoost
• TensorFlow

• Marketing and advertising domain experience.
• GenAI
• Ads targeting
• Routing

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.