Liftoff is a leading growth acceleration platform for the mobile industry, assisting advertisers, publishers, game developers, and DSPs to scale their revenue growth through mobile app marketing and monetization solutions. Our services, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, are supporting over 6,600 mobile businesses across 74 countries in sectors like gaming, social, finance, ecommerce, and entertainment. Established in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
At Liftoff, we're addressing one of the primary challenges every mobile app faces: growth. We build machine learning and big data-driven technology that can precisely predict which apps a user will be interested in, and connect accordingly. Our systems process over 4 million requests per second and interact with over a billion users a week.
In our engineering teams, we offer a diverse range of opportunities for different skills levels and experiences.
About the Production Engineering Opportunity:
Our Production Engineering team is at the heart of Liftoff's success. This team employs data-driven engineering to optimize the delivery of scalable, reliable, and efficient products.
Location:
This role is based in Singapore. Although we are a remote-first company, we encourage team members to come to the office once a week (Thursdays are our in-hub day!).
Responsibilities:
- Ownership of one of Liftoff's core machine learning platforms that handles large scale real-time data processing pipelines and high-performance model inference.
- Build an MLOps ecosystem that relies on tools from open source communities and internal teams to create a machine learning workflow.
- Apply DevOps principles to automate and monitor every step in the way from developing to deploying machine learning models.
- Develop machine learning observability to track the data statistics and online performance of models.
- Implement engineering excellence culture through state-of-the-art tools, risk-driven testing, explainable systems, and code reviews.
- Share on-call rotation for systems that are under the ownership and management of the team.
- Mentor and share knowledge with other team members.
Qualifications:
- BS in Computer Science with 5+ years of professional experience, or MS in Computer Science with 3+ years of professional experience, or equivalent.
- Deep understanding of computer architectures, data structures, and algorithms.
- Experience with Kubernetes and workflow orchestration (Airflow, Spark, Thrift).
- Experience building CI/CD for large distributed systems or backend architectures.
- Strong team communication and collaboration skills.
- Passionate about helping others and invested in the team’s success.
Nice to Have:
- Experience in SRE / DevOps / Platform Engineering / ML Engineering roles.
- Understanding of various security standards, protocols and implementation details.
- Previous professional experience writing in Golang, Java, Scala, Python, NodeJS, C or C++.
- Experience with Multi-Cloud Computing (AWS, GCP, Azure, etc.).
- Experience with SQL/NoSQL databases (Redshift, Postgres, Redis, Mongo, Elasticsearch)
- Experience with messaging systems (RabbitMQ, Kafka, Red Panda)
- Experience with streaming systems (Flink)
- Experience with Feature Store (Feast, Feather)
Working at Liftoff is fast-paced, challenging and enjoyable, and we thrive on innovation. Come join our team and help shape the future of the mobile app ecosystem. We can't wait to hear from you!
The base pay range for this position ranges from SGD 120,000 to 158,000 annually.
Liftoff is committed to providing a work environment where all employees and candidates are treated with dignity and respect. We are firmly against bias, prejudice, and harassment and strongly uphold equal employment opportunities. Discrimination and harassment against individuals on the basis of their sex, gender, race, creed, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital or domestic partner status, age, veteran or military status, family care status, or any other characteristic protected under federal, state, or local law, is unlawful and will not be tolerated.