Senior Machine Learning Engineer, Automation

Who we are:

Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Now we’re looking for an exceptional Machine Learning Engineer to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.

Impact you will make: 

• Design and implement predictive models, optimization algorithms, and control systems at large scale that control real money and target specific financial goals
• Architect foundational parts of production systems and write well-structured, flexible, and tested Python code
• Proactively identify opportunities for optimization – algorithmically or architecturally –  and own the scoping and implementation of solutions
• Explore and develop expertise with cutting-edge methods for streaming data and realtime control
• Take an ownership role of product-critical infrastructure that enables the Chartboost DSP to automate its end-to-end offering to customers
• Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
• Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

• BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
• 3+ years of practical experience in a Machine Learning Engineer, Software Engineer, or Data Engineer role, and sound understanding of engineering and system design principles
• Experience writing, testing, and deploying production code in Python and a solid understanding of object-oriented programming, system architecture, and testing.
• Familiarity with any cloud computing environment (AWS/GCP/Azure) and understanding of modern production stack, such as FAAS, streaming/queueing tools (eg Kafka), in-memory stores (eg Redis), Spark.
• Experience building pipelines for large or fast-moving data (for instance, internet of things, ad tech, gaming) using an orchestration platform (eg, Airflow/Beam)
• Proficient with SQL, version control programs (such as git/github), and command-line use

The following experience would be a plus:

• Experience or training in control or optimization algorithms (PID, rule-based or model-based control, reinforcement learning)

Perks:

• Comprehensive medical, dental and vision insurance 
• Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
• 401(k) plan with match through Fidelity
• Catered lunches and fully stocked kitchens 
• Commuter Program
• Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:

We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!

We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.

This is a fully remote role that may be based anywhere in the United States.

The pay range for this position in California at the start of employment