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Sumo Logic Interview Questions

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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Sumo Logic Salaries by Position

Location - Open to 100% remote within the United States or Canada
As a Sr. Software Engineer - MLOps/LLMOps , you will actively contribute and lead in the design and development of an innovative MLOps/LLMOps platform. This team collaborates closely with other Product Development teams and works through the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations.
Responsibilities :
Identifying and validating opportunities for the application of AI/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 AI/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+ years of industry experience with a proven track record of ownership and delivery.
Experienced SME/Tech lead on MLOps/LLMOps technologies such as CI/CD with cloud-native microservice platform, ML model training, evaluation & serving, LLM prompt engineering, LLM fine tuning, LLM evaluation, etc.
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
Cloud-based application and infrastructure deployment and management
Common ML libraries (e.g., scikit-learn, PyTorch) and components (e.g., Airflow, MLFlow)
Relevant cloud provider services (e.g., AWS Bedrock, AWS Sagemaker)
LLMOps related experience, Enterprise-grade copilot or AI agent deployment & monitoring experience
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 SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform 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 .
The expected annual compensation range for this role is $160-180k + 10% bonus + equity. 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. 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.
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)

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Sumo Logic Interview Questions

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Sumo Logic Interview Questions

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