Sumo Logic is hiring a
Staff Engineer-Machine Learning

closed
Logo of Sumo Logic

Sumo Logic

πŸ’΅ $190k-$235k
πŸ“Remote - United States

Summary

The job is for a Staff Software Engineer - Machine Learning at Sumo Logic, where the employee will contribute to the design and development of ML-powered product capabilities. The role involves collaboration, large-scale data and ML platform component assessment, UX/UI collaboration, service uptime and reliability ownership, tooling development, and on-call rotation.

Requirements

  • B.S./M.S./Ph.D. in Computer Science or related disciplines
  • 6-8+ years of industry experience with a proven track record of ownership and delivery
  • Excellent collaboration and communication skills
  • Experience with software engineering of production-grade services in cloud environments
  • Experience formulating use cases as ML problems and putting ML models into production
  • Knowledge of and/or curiosity to learn about specific Sumo Logic customer problem domains
  • Operational excellence orientation: SLIs/SLOs, monitoring and troubleshooting, on-call rotations
  • Solid grounding in core ML concepts, basic statistics, and the judicious use of abstraction

Responsibilities

  • Identifying and validating opportunities for the application of ML or data-driven techniques
  • Driving technical delivery through the full feature lifecycle, from idea to production and operations
  • Collaborating within and beyond the team to identify problems and deliver solutions
  • Assessing requirements and approaches for large-scale data and ML platform components
  • Collaborating with UX/UI teammates on the usability of product features
  • Owning the uptime and reliability of delivered services and capabilities, including on-call rotation
  • Developing supporting tooling, automation, and microservices to accelerate the team

Preferred Qualifications

  • Cloud-based application and infrastructure deployment and management
  • Common ML libraries (eg, scikit-learn, PyTorch) and components (eg, Airflow, MLFlow)
  • Relevant cloud provider services (eg, AWS Sagemaker)

Benefits

  • Health, Dental, Vision- Insurance
  • 401k and Life Insurance options
  • Unlimited PTO with 15+ days of recognized holidays
  • Quarterly Wellness days
  • 100% remote with the option to be in the office if you want (Bay Area, Austin, Denver, NYC)
  • 3 months of paid parental leave
  • Expected annual base salary range: $190,000 - $235,000 + 15% bonus
This job is filled or no longer available