Software Engineer – ML Engineer
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Job Description
Machine Learning Engineer building next-generation agentic AI platforms at Salesforce. Collaborating with various stakeholders to innovate and create impactful solutions.
Responsibilities:
- Build next-generation agentic AI platforms
- Work with Data Scientists, Software Engineers, product managers and other stakeholders closely to design, implement and iterate agentic AI systems with customers
- Innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
Requirements:
- 8+ years of experience in Machine Learning, building AI systems and/or services
- Bachelors/Masters in CS, Machine Learning, Statistics, or a relevant field
- Strong experience building and applying machine learning models for business applications
- Mastery of Python programming, including proficiency in leading ML frameworks (TensorFlow, PyTorch) and adherence to software engineering best practice
- Strong experience in building ML pipelines
- Expertise with applying LLMs, prompt design, and fine-tuning methods
- Proven ability to implement, operate, and deliver results via innovation at large scale
- Proven ability to independently drive complex projects from ideation to prototyping to production.
- Excellent written and spoken communication skills
Benefits:
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
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