SMTS/LMTS Software Engineer – ML Infrastructure
Salesforce
full-time
Posted on:
Location Type: Office
Location: San Francisco • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $184,000 - $253,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudDockerGoogle Cloud PlatformHadoopJavaKafkaKubernetesPythonScalaSparkSpinnaker
About the role
- 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, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?
Requirements
- 6+ years of industry experience of ML engineering in building AI systems and/or distributed services
- Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures and software design
- 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
- Proven ability to implement, operate, and deliver results via innovation at large scale
- 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.
- Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.
Benefits
- time off programs
- medical, dental, vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning engineeringAI systemsdistributed servicesalgorithmsdata structuressoftware designmicroservice architectureprogramming (Java, Scala, Python)data storage frameworksmessaging frameworks
Soft skills
collaborationleadershipgritdriveownership