Senior ML Engineer, Applied Machine Learning
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science or a related field, ideally from a well-respected university, and have demonstrated experience in algorithm and software design, concurrency, and data structures. Strong experience in implementing probabilistic or machine learning algorithms is essential, along with a deep understanding of scalable distributed systems.
The Senior/Staff Machine Learning Engineer will design modular and scalable real-time data pipelines to handle large datasets, suggest and implement architectural improvements for big data ML pipelines, and understand and implement custom ML algorithms in a low-latency environment. They will also work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently, and collaborate directly with Data Scientists, Machine Learning engineers, Engineering teams, and the CTO/Co-Founder.
Programmatic advertising and digital marketing platform
StackAdapt specializes in programmatic advertising, which uses software to automate the buying of digital ads. The company provides a platform that enables businesses to run display, video, and native advertising campaigns efficiently. Its main product is a Demand Side Platform (DSP) that allows advertisers to purchase digital ad space in real-time, ensuring that ads reach the right audience at the right moment. Unlike many competitors, StackAdapt does not require monthly minimum spending, giving clients flexibility in their advertising budgets. The company also offers a Creative Studio to help clients enhance their ad content for better results. StackAdapt is particularly recognized for its expertise in native advertising, boasting the largest scale in the industry with numerous integrations and partnerships. The goal of StackAdapt is to empower agencies and brands to maximize their digital advertising efforts through a comprehensive and flexible platform.