Liftoff Mobile, Inc.

We are a small engineering team working at the intersection of high-performance distributed systems, machine learning, and programmatic web UX, demanding creativity, constant learning, and raw smarts.

Our engineering team gets to work on exciting large-scale projects like building Machine Learning models and Big Data-driven technology that can accurately predict which mobile apps a user will like, and connect them in a compelling way.

The systems we build operate at a scale unseen outside of the largest internet companies — processing over a million requests per second and interacting with billions of users.

Our Engineering Philosophy

1) Use the best tool for the job: Whether it’s robust open source data stores, high-leverage languages (e.g., Clojure and Go), or building our own CLI tools, we use the technology that will result in the best long-term product.

2) Tighten feedback loops: We leverage fast integration tests, one-command deploys, and prod AB tests that reach significance in minutes so that we can learn and improve our systems faster.

3) End-to-end ownership: Engineers own projects from design to rollout, which decreases overhead, miscommunication, and the risk of building the wrong solution–and it’s just more satisfying.

4) Invest in tooling: We spend about 20% of our time building advanced tooling and dashboards that add a multiplier to our future effectiveness.

5) Constant learning: We choose projects that maximize learning, not just business impact.

6) Automate everything: QA is replaced with high-test coverage, sysadmin with automated deploys, operations with high-signal alerting, etc.

1) We're integrated with companies via our mobile SDK's. Our servers are fielding over 2M requests per second and our ML prediction intelligence currently process 100M predictions a second . For every request, we're running ensembles of bidding algorithms, distributed data stores and Machine Learning models to figure out how valuable each potential new user is to a developer. Doing this with low latency is very hard.

2) We like smart engineers who are interested in machine learning, even if you don't have experience with it. At Liftoff you'll work alongside machine learning experts and be able to learn about it quickly. Applying machine learning to real world problems is a particularly great skill to acquire right now as an engineer.