Senior Software Engineer I - ML Engineer

Sumo Logic; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Join Sumo Logic as a Senior Software Engineer I - ML Engineer, where you will lead the design and development of innovative ML solutions. With a focus on the full feature lifecycle, you will work on high-volume systems processing petabytes of data, collaborating to deliver impactful solutions for cloud-native applications. Ideal candidates will have a robust educational background in computer science and hands-on experience in machine learning and software engineering.

Qualifications

• 4-6 years of industry experience.
• Experience formulating ML use cases and implementing models.
• Solid grounding in core ML concepts.

Responsibilities

• Drive technical delivery through the full feature lifecycle.
• Identify and validate opportunities for ML application.
• Design and implement scalable backend systems.

Skills

Machine Learning

Cloud Computing

Statistics

Software Engineering

Education

B.Tech, M.Tech, or Ph.D. in Computer Science

Tools

scikit-learn

PyTorch

AWS Sagemaker

Job description

Senior Software Engineer I - ML Engineer

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

As a Machine Learning Engineer at Sumo Logic, you will actively contribute in the design and development of innovative ML-powered product capabilities to help our customers make sense of their huge amounts of log data. This involves working 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 ML or data-driven techniques
• Assessing requirements and approaches for large-scale data and ML platform components
• Driving technical delivery through the full feature lifecycle, from idea to production and operations
• Helping the team design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
• Collaborating within and beyond the team to identify problems and deliver solutions
• Work as a member of a team, helping the team respond quickly and effectively to business needs.

Requirements

• B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
• 4-6 years of industry experience with a proven track record of ownership and delivery
• Experience formulating use cases as ML problems and putting ML models into production
• Solid grounding in core ML concepts and basic statistics
• Experience with software engineering of production-grade services in cloud environments handling data at large scale

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
• Experience in multi-threaded programming and distributed systems
• Agile software development experience (test-driven development, iterative and incremental development) is a plus.

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.

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