Intern, ML Ops

Company at a GlanceOpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.
At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.
With some of the best minds in adtech under our global roof, we bring industry-leading technology, a tradition of great service to our clients, and huge scale — across every format, from mobile to CTV. This allows us to build products that lead to greater reach for buyers and higher revenue for publishers — while solving some of the most intricate problems in digital marketing at large. That's the power of OpenX.
About YouYou enjoy solving complex quantitative problems and are eager to work with tools and technologies that may be outside your comfort zone. You enjoy working in an open and collaborative environment. You are highly communicative, presenting relevant, concise, and empirically-driven information.You have the self-motivation to work independently but also know when to ask for help or guidance.You are highly driven but recognize when compromises are a more efficient solution.You are a dedicated software craftsperson who cares deeply about best practices and what it takes to write and maintain great code.

Key Responsibilities

• Develop, maintain, and monitor the infrastructure responsible for training and serving the Machine Learning models and scale it to support over 350 billion requests a day.
• Maintain ML model training at scale using infrastructure available on Google Cloud Platform
• Collaborate with engineers and scientists to deploy and serve our models at scale
• Build monitoring tools that can provide real-time analysis of ML models in production
• Support development teams and the data science team in building products based on machine learning.

Requirements

• Actively pursuing a BS or MS in Computer Science or a related major
• Experience with machine learning technologies such as PyTorch, TensorFlow, etc.
• Experience in serving a trained ML model
• Experience in using AWS, GCP, Azure, or other cloud platforms
• Knowledge of current principles and frameworks for ML Ops
• Proficiency in Docker containerization or Kubernetes orchestration
• A willingness to learn new tools and deliver proof of concept implementations
• Excellent communication and the ability to collaborate with multiple teams 

#li-ac
OpenX VALUESOur five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.
WE ARE ONEWe are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture
WE ARE CUSTOMER CENTRICWe innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.
OPENX IS OURSWe innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.
WE ARE AN OPEN BOOKWe understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. 
WE EVOLVE FASTWe take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.
OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.
OpenX Applicant Privacy PolicyApplicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.
Effective Date: March 1, 2022