VP, Machine Learning Operations

Posted 2 Days Ago
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Hiring Remotely in New York, NY
Remote
250K-300K Annually
7+ Years Experience
AdTech • Mobile
Yieldmo is one of the world’s fastest-growing digital advertising and attention analytics companies.
The Role
Seeking a VP of Machine Learning Operations to lead the optimization and management of ML models in a production environment. Responsibilities include architecting ML frameworks, integrating models into operational pipelines, designing scalable ML pipelines, and optimizing performance and cost-efficiency of ML systems. Requires extensive experience with AWS, GCP, Python, ETL, large datasets, data science technologies, predictive analytics, and machine learning.
Summary Generated by Built In

Who We Are

Yieldmo is an advertising platform that helps brands invent creative experiences through tech and AI, using custom ad formats, proprietary attention signals, predictive format selection, and privacy-safe premium inventory curation. Yieldmo believes all ads should be human-centered, tailored, and provoke users' emotions and actions. Yieldmo helps brands deliver the best ad for every impression opportunity, merging creative and media for proven results.


What We Need

We’re looking for an experienced architect and engineering leader to spearhead our machine learning operations, with a focus on optimizing the deployment and management of ML models. You will design and implement systems to support our data science initiatives in a low latency high volume (500B - 1T transactions a day) production environment. You are experienced with the lifecycle of machine learning, data science, data and ML pipeline design, and have a deep understanding of how they can be deployed and orchestrated in a cloud-based infrastructure. Ideally, you would have worked as a data scientist for some years and decided your passion lies in the ML ops / data engineering side of data science. We currently have multiple ML implementations that we’d like to unify into a common framework to ensure security, support reusability and observability, and expedite the ability to make changes. You should be hands-on and capable of implementation in addition to design. You will partner with our data scientists to set best practices, automate data science approaches, architect solutions, and deploy and monitor production workloads.


Responsibilities

  • Architect, deploy, and manage a software framework to securely handle data science workflows not limited to machine learning in production-grade environments
  • Facilitate seamless integration of ML models into operational pipelines between engineering and data science
  • Design, implement, and maintain scalable, efficient ML pipelines on AWS and GCP
  • Design, implement, and maintain CI/CD pipelines to automate the continuous integration and delivery of ML models
  • Monitor the performance of ML models and implement improvements
  • Ensure high availability and fault tolerance of the ML infrastructure 
  • Optimize the performance and cost-efficiency of ML systems
  • Perform code reviews; maintain and champion ML ops and engineering best practices.
  • Manage a team of data / ML ops engineers
  • Recruit, mentor, and grow machine learning engineering team
  • Contribute to and evolve our current data science initiatives, which include cookieless targeting, format optimization, creative optimization, traffic throttling, and real-time bidding management

 

Requirements

  • 5+ years of experience with AWS or GCP. 
  • 10+ years of experience in software development with Python in a production environment focused on ETL, ML, and pipeline work.
  • 10+ years of experience working with large datasets (working with raw logs in the order of 200 - 250TB a day. Comfortable working with databases with tables ranging from 100's of billions to trillions of rows.)
  • 5+ years of experience working as a data scientist with technologies such as scikit-learn, R, SQL, H2O, Vertex AI, AWS Sagemaker, TensorFlow, PyTorch, and Spark. 
  • Comfortable building machine learning models on sparse datasets with high dimensionality.
  • 5+ years with predictive analytics and developing optimization algorithms.
  • Deep understanding of development and deployment processes with technologies including GitHub actions, containerization using Docker, and cloud services such as ECR/ECS, Lambda, and Cloudwatch.
  • Experience working with Airflow or another workflow orchestration tool.
  • Expert-level understanding of SQL in Snowflake and MySQL environments.
  • Experience with high-performance SQL-based analytics data warehouses such as Snowflake, BigQuery, Redshift, Vertica, or Netezza.
  • MS or equivalent combination of education and experience in Computer Science, Engineering, Information Systems, or quantitative science (Physics, Math, Computational Biology, Operations Research, etc.).
  • Strong verbal and written communication skills.
  • Ad tech experience (SSPs, DSPs, Analytics, DMPs, CDPs)

 

Nice to Haves

  • Experience working with Jinja templates
  • Exposure to A/B testing
  • Exposure to Generative AI interfaces and infrastructure
  • Comfortable reading code in Java


Perks

  • Fully remote workplace
  • Generous employer contribution to Health Benefit premiums & 401k Match 
  • Work/life balance: flexible PTO, competitive compensation packages, Summer Fridays & much more
  • 1 Mental Escape (ME) day each quarter to fully unplug and recharge
  • A generous learning stipend and other opportunities for professional development
  • An allowance to help you upgrade your home office


US Jobs: The base salary range for this role is: $250,000-$300,000 per year. The range listed is just one component of Yieldmo's total compensation package for employees. Individual compensation decisions are based on a number of factors, including experience, level, skillset, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. In these situations, the updated salary range will be communicated with you as a candidate. For all other countries, we have competitive pay bands based on market standards.

Top Skills

Python

What the Team is Saying

Amanda
Mallory
Nayan Savla
Niko
Brijesh
Eric
Sue
Dan
Indu
Eric
Karina
The Company
Nashua, NH
150 Employees
Remote Workplace
Year Founded: 2012

What We Do

Yieldmo is an advertising platform that helps brands improve digital ad experiences through creative tech and AI, using bespoke ad formats, proprietary attention signals, predictive format selection, and privacy-safe inventory curation. Yieldmo believes all ads should captivate users and be tailored to their liking. We help brands deliver the best ad for every impression opportunity. Thanks to our advances in Artificial Intelligence (AI), our proprietary measurement technology, and our close relationships with publishers, this vision is increasingly attainable.

Why Work With Us

Yieldmo provides the opportunity for employees to activate their entrepreneurial side. Yieldmo is lean and mean with just under 100 employees and over $100 million in annual revenue generation. We firmly believe that each person we bring into our team can make an impact.

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Yieldmo Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
Nashua, NH

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