Salesforce is looking to solve the problem of democratizing AI and transforming the way their Ohana builds trusted machine learning and AI products, by providing a unified, configuration-driven, and fully orchestrated machine learning platform
Requirements
- 6+ years of industry experience of ML engineering in building AI systems and/or distributed services
- Experience building distributed microservice architecture on AWS, GCP or other public cloud substrates
- Experience using modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies
- Strong programming expertise in JVM-based languages (Java, Scala) and Python
- Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc
- Understanding of MLOps/ML Infra workflows, processes and ML components
- Strong experience building and applying machine learning models for business applications
Responsibilities
- Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production
- Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis
- Participate in periodic on-call rotations and be available for critical issues
- Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production
- Participate in meal conversations with your team members about really important topics
- Implement, operate, and deliver results via innovation at large scale
- Build distributed microservice architecture on AWS, GCP or other public cloud substrates
Other
- Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field
- Grit, drive and a strong feeling of ownership coupled with collaboration and leadership
- Excellent written and spoken communication skills
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
- Ability to work in the United States, with consideration for applicants with arrest and conviction records
