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Staff Software Engineer

Liftoff

$170,000 - $230,000
Apr 17, 2025
Remote, US
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Liftoff is looking to improve the reliability and performance of its machine learning systems at scale.

Requirements

  • Deep expertise in Python and/or Go
  • Fluency with ML libraries (e.g., TensorFlow, PyTorch)
  • Experience with cloud infrastructure (e.g., AWS)
  • Experience with ML monitoring tools (e.g. Prometheus, Grafana)
  • Experience in big data engines such as Trino and Spark is a big plus
  • Solid core CS fundamentals (data structures, algorithms, architecting systems)
  • Experience in ML systems for training Transformer models, CTR prediction models

Responsibilities

  • Lead the design and evolution of large-scale ML infrastructure
  • Define and implement end-to-end monitoring, alerting, and performance tracking for ML models and data pipelines
  • Partner with data scientists and platform teams to standardize and scale model deployment, versioning, and A/B experimentation frameworks
  • Lead and participate in incident response efforts, conducting root cause analysis and implementing corrective actions to prevent recurrence
  • Identify systemic inefficiencies and opportunities for automation or simplification, and drive cross-functional efforts to improve system performance and developer productivity
  • Drive adoption of best practices in software and ML engineering, including code quality, risk-driven testing, and explainable, maintainable systems
  • Act as a mentor and multiplier, helping other engineers level up in ML systems, reliability, and architectural thinking

Other

  • BS in Computer Science with 8+ years of professional experience; or MS in Computer Science with 6+ years of professional experience; or PhD with 3+ years of professional experience
  • Proven ability to drive large technical initiatives and lead projects spanning multiple teams
  • Strong problem-solving skills and the ability to work collaboratively across teams
  • Ability to lead across team and role boundaries to effect large scale change in culture and systems
  • Travel expectations: attend in-person team gatherings at least once per quarter