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 Staff Software Engineer -  Machine Learning, you will actively contribute & lead in the design & development of innovative ML-powered product capabilities. This team collaborates closely with other Product Development teams & works 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
• 6-8+ 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

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)
• LLM core concepts, libraries, & application design patterns

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.

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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, & equity awards. Compensation varies based on a variety of factors which include (but arent limited to) role level, skills & competencies, qualifications, knowledge, location, & experience. 

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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