Remote Senior Engineering, ML Opps/ LLM Opps

Description:

• 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 role involves collaboration with other Product Development teams and encompasses the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations.
• Responsibilities include identifying and validating opportunities for the application of AI/ML or data-driven techniques.
• You will drive technical delivery through the full feature lifecycle, from idea to production and operations.
• The position requires collaboration within and beyond the team to identify problems and deliver solutions.
• You will assess requirements and approaches for large-scale data and AI/ML platform components.
• Collaborating with UX/UI teammates on the usability of product features is also part of the role.
• You will own the uptime and reliability of delivered services and capabilities, including participating in an on-call rotation.
• Developing supporting tooling, automation, and microservices to accelerate the team is expected.

Requirements:

• A B.S., M.S., or Ph.D. in Computer Science or related disciplines is required.
• You must have 6+ years of industry experience with a proven track record of ownership and delivery.
• Experience as a Subject Matter Expert (SME) or Tech lead on MLOps/LLMOps technologies such as CI/CD with cloud-native microservice platforms, ML model training, evaluation & serving, LLM prompt engineering, LLM fine-tuning, and LLM evaluation is essential.
• Excellent collaboration and communication skills are necessary.
• Experience with software engineering of production-grade services in cloud environments is required.
• You should have 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 is important.
• An operational excellence orientation, including SLIs/SLOs, monitoring and troubleshooting, and on-call rotations, is required.
• A solid grounding in core ML concepts, basic statistics, and the judicious use of abstraction is necessary.

Benefits:

• The expected annual compensation range for this role is $160-180k, plus a 10% bonus and equity.
• Health, Dental, and Vision insurance are provided.
• 401k and Life Insurance options are available.
• Employees enjoy unlimited PTO with 15+ days of recognized holidays.
• Quarterly Wellness days are offered.
• The position is 100% remote, with the option to work in the office if desired (locations include Bay Area, Austin, Denver, NYC).
• Three months of paid parental leave is provided.