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Software Engineering MTS/AI Research
| Company | Salesforce |
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| Location | Palo Alto, CA, USA |
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| Salary | $170227 – $188600 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline
- six (6) months of experience in the job offered or in any occupation in a related field
- (1) Machine learning
- (2) optimizing inference of LLM by allowing multi-gpu inference
- (3) building ML training and inference pipeline
- (4) Data structures
- (5) scaling software systems
Responsibilities
- Help create high-visibility data products and decision-making tools for Salesforce’s leaders
- Lead the charge on taking core products to the next level in terms of engineering maturity and architecture
- Refine and develop new data science products, workflows, tools, and automation
- Build tools to monitor data pipeline performance, data quality and models in production
- Establish best practices with coding standards, workflows, tools, and product automation
- Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones
- Scale the operations of the data science team by building automation and libraries
- Work closely with AI researchers and applied scientists to deliver new AI for research and products
- Focus on engineering components of AI such as model training/evaluation pipelines, leveraging GPUs, and optimizing pipelines
- Solve challenging AI engineering problems, focusing primarily on training, evaluating, and optimizing large language models (LLMs)
Preferred Qualifications
No preferred qualifications provided.
