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As a Senior Product Manager for Liftoff's SDK product, you will be responsible for managing the lifecycle of the SDK across multiple platforms, collaborating with cross-functional teams, analyzing competitive features, and ensuring the success of the product through quantitative and qualitative measurements.
Senior Software Engineer role in Liftoff's Production Engineering team based in Singapore. Responsible for backend infrastructure, data processing pipelines, and front end servers. Focus on optimizing developer workflow and ensuring scalability, reliability, and efficiency. Involvement in cutting-edge technologies and infrastructure reliability for large-scale distributed systems.
The Senior Product Manager at GameRefinery will be responsible for managing the continuous development of GameRefinery’s SaaS product, interacting with internal and external teams, and ensuring excellent customer experience. They will work on product innovation, feature specifications, team training, marketing coordination, and long-term product direction.
The Machine Learning Engineer at Liftoff will own ML models and software tooling, collaborate with ML teams, work on unique modeling challenges, and become an expert in various technologies. The role involves improving machine learning models for advertising campaigns.
The Sr. Software Engineer on the Bidding Intelligence group at Liftoff will build deep learning models to make bidding decisions in millions of auctions per second, work with ML and Software Engineers, design scalable systems, and achieve core business objectives.
Design, engineer, and implement reliable and scalable systems for training and serving deep learning models on Liftoff's Machine Learning Platform team. Adopt new technologies to increase ML modeling team velocity and shape the long-term ML Platform strategy. Work with experienced engineers to build the next-generation ML platform.
As a Principal ML Engineer, you will help shape the long-term ML strategy, provide technical feedback, design and ship strategic ML projects, work with state-of-the-art modeling techniques, and develop ties to the research community.
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Machine Learning Engineer on the Embeddings team at Liftoff.
Technical lead role focused on NetSuite software within Liftoff's IT Solution delivery team. Responsibilities include managing NetSuite transformation projects, translating business requirements into solutions, leading unit testing and data analysis, managing NetSuite integrations, and more. Requirements include a Bachelor's degree and 7+ years of NetSuite technical experience with expertise in JavaScript, SQL, and various NetSuite functionalities.
Build and have end-to-end ownership of Liftoff's core engines, including distributed data stores, data processing pipelines, and high-performance services.
Responsible for driving product and process improvements through data. Conducts analysis, sets up experiments, designs dashboards, and presents findings to cross-functional teams.