Title: Senior Machine Learning Engineer

Location: Fort Worth, TX 67108 - Hybrid (1-2x a week in office)

Overview of Role:

As Senior Machine Learning Engineer, you will be responsible for driving the design, development, implementation, and enhancement of advanced data science initiatives, aligning directly with strategic objectives. This role involves the full data life cycle from model building to maintenance. We are looking for someone who has extensive advertising tech experience and has had exposure to real-time bidding (RTB) and ad auctioning specifically.

Company Description:

Our client focuses on advertising technology and strategy for clients across many different industries and verticals. They combine typical advertising focuses with cutting-edge AI tech to create a fully customizable platform for their clients. Their culture is data-driven and offers great benefits as well!

Role Description:

• Translate business needs into analytics/reporting requirements for data-driven decisions.
• Develop, deploy, and maintain multiple machine learning models across different business units.
• Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences.
• Ensure analytical insights and products are integrated into business processes.
• Guide and approve analytics/modeling approach, model deployment requirements, and quality assurance standards.
• Foster a culture of innovation and continuous improvement, exploring and adopting new data science technologies and methodologies.
• Work with business and technical stakeholders to identify new technologies and opportunities that deliver measurable business value.

Skills and Experience:

• Masters or higher preferably in Statistics, Applied Mathematics, or related field, with 3-5 years MINIMUM experience in a data science or machine learning role.
• MUST HAVE Extensive experience with Adtech and ad auctioning software.
• Extensive knowledge and working experience with Machine Learning libraries/frameworks, and data processing/visualization tools. (PyTorch, Tensorflow, NumPy, etc.)
• Experience with full data life cycle, working in model development, deployment, and maintenance.
• Experience with mode-based modeling.
• Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark).

Benefits:

• Health, Dental, and Vision Insurance
• Unlimited PTO with paid holidays
• Flexible, hybrid schedule
• Annual bonus
• 401(k) Matching Program

Candidates must be authorized to work in the US for consideration.