Search the 18 jobs at Liftoff

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 Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, monitor latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, hands-on experience with deep neural networks at scale, strong coding skills, and a degree in Machine Learning, Math, Physics, or related field. Full-time remote work available in specified states with a base salary ranging from $250,000 to $315,000.

Machine Learning Engineer on the Embeddings team at Liftoff.

Design, implement, and maintain robust ML architecture to ensure high availability, reliability, and performance of ML models in production. Lead incident response efforts, create documentation, and collaborate with cross-functional teams. Have end-to-end project ownership and contribute to an 'engineering excellence' culture.

Build and have end-to-end ownership of Liftoff's core engines, improve infrastructure for faster data access and experimentation, partner with product team on strategy, contribute to engineering excellence culture, and work in a fast-paced, innovative environment.

The Senior Corporate Counsel at Liftoff will provide legal advice and expertise in all areas of law affecting the international business. Responsibilities include drafting, reviewing, and negotiating contracts, advising on compliance, managing privacy programs, assisting with audits and inquiries, and providing subject-matter expertise on privacy and data security. Desired skills include a law degree, 4+ years of legal experience, privacy/data protection law knowledge, in-house experience, and proficiency in contract management.

As a Staff Software Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second, with end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.

Join Liftoff as a Senior Financial Analyst in the Revenue Finance & Strategy team. Responsible for creating revenue synergy models, designing deal desk incentives, conducting strategic financial modeling, providing due diligence support, and tracking revenue adjustments. Ideal candidate must have strong business acumen and analytical skills.

The Senior Software Engineer in Production Engineering at Liftoff plays a pivotal role in shaping the future of product delivery by owning core backend infrastructure, improving tooling, and maintaining high-performance systems. Responsibilities include architecting and maintaining large-scale distributed systems, mentoring team members, and staying updated on cutting-edge technologies.

Seeking a talented Senior Financial Analyst to join the growing Commercial Finance team at Liftoff, providing insights and supporting business decision-making with strong analytical skills. Responsibilities include supporting sales target setting, providing financial analysis, enhancing data integrity, and developing reporting tools for senior leadership.

As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.

Join the Creative Machine Learning team at Liftoff to work on ML models with direct business impact. Responsibilities include owning ML models, adopting new technologies, mentoring team members, monitoring latest ML research, and influencing team roadmap. Requires 8+ years of ML experience with deep neural networks, recommender systems, strong coding skills, and a degree in Machine Learning, Math, Physics, or similar. Experience with Adtech is a plus. Base salary range of $200,000 - $240,000 depending on candidate location and experience.

Develop and train machine learning algorithms for real-time bidding, optimize machine learning infrastructure, design and execute experiments, collaborate with engineering teams to ensure a robust data pipeline.

In this role at Liftoff, you will be a key member of the Infrastructure Team responsible for managing and safeguarding data flow, hosting services, and deployment processes. Your expertise in Go, Clojure, and cloud technologies will be crucial in developing robust tooling and systems for the company's real-time analytics engine.

Join Liftoff as a Senior Manager in the Revenue Finance & Strategy team. Responsible for forecasting revenue, providing strategic thought leadership, setting sales targets, ad-hoc reporting, and continuous improvement of processes. Develop financial models, analyze data, and support senior leadership with insights and recommendations for revenue growth and performance analysis.

The Sr. Staff Software Engineer at Liftoff will work autonomously to build tools, improve shared libraries, and establish best practices for Python and Clojure. Responsibilities include building high-quality tooling, advocating for best practices, and improving repo-wide code. The role requires strong communication, leadership skills, and proficiency in Clojure or Python.

Design, develop, and implement statistical and machine learning models to predict competitive bidding landscape, click through rate, conversion/action rate, ad relevance to users. Analyze data to identify useful relations, patterns, and features predictive of user behaviors, preferences, intents, and interests. Continuously identify and explore new data sources. Generate hypothesis and design effective online experiments to improve algorithm performance. Work with engineering and operations teams to build systems and operational capabilities for implementing models and algorithms.