Director of Machine Learning Operations, Kargo
$200-230k
OTE
3 days a week in office
Mobile advertisement platform
Open for applications
Mobile advertisement platform
501-1000 employees
Open for applications
$200-230k
OTE
3 days a week in office
501-1000 employees
Company mission
Kargo's mission is to empower advertisers to break convention and build connections with consumers on the most important screen today—the phone.
Role
Who you are
- The position requires strong hands-on experience combined with leadership skills, strategic thinking, and knowledge of industry best practices
- 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
What the job involves
- 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 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
- 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
- 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
- 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
- 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
- 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
Our take
The way in which advertisers reach out to their audiences has changed dramatically over the last decade, primarily due to the invention of the smartphone. Whilst mobile ads have existed since the beginning of smartphones, most rely on technology that was built for desktops, resulting in bad advertising and missed opportunities.
Kargo provides a mobile advertising platform for marketers and publishers, helping them to deliver better business outcomes by leveraging advertising technology designed specifically for mobile. The company achieves this by directly integrating optimized impressions from the best-performing publishers within its specialized supply, using tangible identity metrics to analyze and improve advertiser KPIs, and overall facilitating personalized and mobile-optimized advertising.
The company acquired Videobyte (a video advertising platform for Connected TV) in early 2023 to expand operations into the relatively young digital TV industry and its lucrative TV formats. Bringing video, publisher tools, and unique formats to Kargo's omnichannel, this acquisition indicates a diversification of mediums for the advertising provider, who already has a firm grip on both mobile and desktop advertising platforms.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company values
- Self Starter - Take initiative. Prioritize the best possible outcomes for our clients and our company. Work confidently and independently, anticipate and embrace challenges and learn from setbacks. Be the go-to resource for colleagues and clients
- Team Player - Work together. Trust, empower and champion each other to cultivate the best ideas and optimize performance. Listen actively, engage respectfully and share ownership and accountability. Be collaborative and inclusive in ideation, decision making and execution
- Innovator - Be brave. Challenge the status quo to make Kargo and its clients stand out from the crowd. Leverage unique perspectives to drive the company and industry forward. Be a change agent and thought leader and inspire others to do the same
Company HQ
Lower Manhattan, New York, NY
Articles
Leadership
Karry Kargman
(CEO)Experience as Corporate Business Developer for Intel Venture and Corporate Strategist for Intertainer.
Salary benchmarks
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