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Sumo Logic // cloud-based log analysis platform
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The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure & operations. With this opportunity comes tremendous technical challenges around ingesting, managing, & understanding high-volume streams of heterogeneous data.

As a Senior Software engineer -  Machine Learning, you will actively contribute & lead in the design & development of innovative ML-powered product capabilities for alerting & remediation products. You will work through the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, & operations.

Responsibilities:

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

Requirements:

  • B.S. / M.S. / Ph.D. in Computer Science or related disciplines
  • 8+ years of industry experience with a proven track record of ownership & delivery
  • Excellent collaboration & communication skills
  • Experience with software engineering of production-grade services in cloud environments
  • Experience formulating use cases as ML problems & 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 & troubleshooting, on-call rotations
  • Solid grounding in core ML concepts, basic statistics, & the judicious use of abstraction
  • LLM core concepts, libraries, & application design patterns

Desirable:

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

About Us

Sumo Logic empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable & secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners & developers ensure application reliability, secure & protect against modern security threats, & gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics & insights across observability & security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy

The expected annual base salary range for this position is $180k - $210k. Compensation varies based on a variety of factors which include (but arent limited to) role level, skills & competencies, qualifications, knowledge, location, & experience. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, & equity awards. 

Other details

  • Health, Dental, Vision- Insurance
  • 401k & 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

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