Director, Machine Learning Operations

Kargo creates breakthrough cross-screen ad experiences for the world's leading brands and publishers. Everyday, our 600+ employees bring the power of their creativity and diversity to radically raising the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In. 

Who We Hire

Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment. 

Title: Director, Machine Learning Operations 

Job Type: Full-time; In-Office Hybrid Required
Job Location: New York, NY
Salary Range: $200,000 - $230,000 OTE

The Opportunity

The Team: The Data Science team at Kargo researches, develops, deploys and maintains ML and optimization models to deliver solutions integral to the business' revenue goals. We work in close collaboration with Engineering, Product Management and business teams to develop solutions to optimize auction dynamics (bid pricing, pacing, etc), predict advertising outcomes (CTR, viewability, etc), and recommend advertising content (audience targeting and contextual matching recommendations).

The Role: The Director of Machine Learning Ops will play a pivotal role in leading and shaping the Machine Learning Operations function. This individual will be responsible for managing a team in developing and implementing ML Ops strategies, overseeing the deployment and maintenance of machine learning models, and collaborating with cross-functional teams to ensure seamless integration of ML solutions into our advertising technology platform. The position requires strong hands-on experience combined with leadership skills, strategic thinking, and knowledge of industry best practices.

The Daily To-Do:

Strategy and Leadership:

• Develop and execute a comprehensive ML Ops strategy aligned with business goals and objectives.
• Provide leadership to the ML Ops team, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with senior leadership to align ML Ops initiatives with overall company strategies.

Infrastructure and Deployment:

• Design, implement, and manage robust ML infrastructure and deployment pipelines.
• Oversee the deployment and monitoring of machine learning models, ensuring scalability, reliability, and performance.
• Implement robust processes and infrastructure for model versioning and CI/CD for ML models
•  Implement architectural patterns for ML pipelines and optimization frameworks.

Cross-Functional Collaboration:

•  Work closely with Data Science, Engineering, and Product teams to understand business requirements and translate them into ML Ops processes.
•  Collaborate with stakeholders to ensure successful integration of machine learning solutions into the AdTech platform.

Monitoring and Optimization:

• Establish and maintain monitoring and alerting systems to ensure the health and performance of deployed models.
•  Implement optimization strategies to enhance model efficiency and accuracy over time.

Team Development:

• Recruit, mentor, and develop a high-performing ML Ops team.
•  Foster a culture of learning and growth, staying abreast of industry trends and emerging technologies.

Qualifications : 

• BS/MS degree in Computer Science, Data Science, or a related field preferred.
• In-depth knowledge of MLOps principles and best practices
• 5+ years experience in a leadership role within ML Ops or a related field.
• Strong background in machine learning, data engineering, and cloud technologies
• Strong experience working with Big Data platforms (Snowflake, Databricks preferred)
• Excellent command of Git and VCSl best practices 
• Highly proficient in developing in SQL and Python. Spark and Go skills a plus
• Hands on experience in automating the provisioning and management of cloud infrastructure
• A strategic thinker with a deep interest in advertising, media, analytics and/or marketing 
• AdTech & Digital advertising experience preferred
• Demonstrated success in building and leading high-performing teams.
• Highly organized and detail-oriented, capable of juggling several tasks at once
• A strong communicator, with both technical and non-technical audiences
• Able to work independently and as part of a team

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