Machine Learning

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

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.

Desirable:

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)
LLM core concepts, libraries, and application design patterns

About Us

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

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The expected annual base salary range for this position is $190,000 – $235,000 + 15% bonus. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards. Compensation varies based on a variety of factors which include (but aren’t limited to) role level, skills and competencies, qualifications, knowledge, location, and experience. 

Other details

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
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