Machine Learning Engineer, RAG
Salesforce
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Job Category
Software EngineeringJob Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
- Design and deliver scalable RAG services that can be integrated with numerous applications, support thousands of tenants, and operate 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 to resolve critical issues.
- Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production.
- Engage in fun-spirited yet thought-provoking conversations with your team around fun topics, such as: Should the popularity of penguins influence conservation efforts? Is creativity more like a neural network or a heuristic algorithm? How would society evolve if humans communicated through colors as well as words?
- 10+ years of industry experience in ML engineering, building AI systems and/or services.
- Strong proficiency in NLP and machine learning models.
- Experience with LLMs and prompt engineering.
- Proven experience building and applying machine learning models to business applications.
- Strong programming skills in Python, with experience in machine learning frameworks like TensorFlow or PyTorch.
- Proven track record to innovate and deliver results at scale.
- Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop.
- Proven understanding of deep learning and machine learning algorithms.
- Grit, drive, and a strong sense of ownership, coupled with collaboration and leadership skills.
- Expertise in retrieval systems and search algorithms.
- Familiarity with vector databases and embeddings.
- Experience developing RAG applications/services for sophisticated business use cases and large amounts of unstructured data.
- Strong background in machine learning engineering and familiarity with pioneering deep learning techniques, particularly in NLP.
- Expertise in applying LLMs, prompt design, and fine-tuning methods.
- Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods.
- Experience with conversational AI.
- Excellent problem-solving skills; the ability to take on problems the world has yet to solve.
- Strong written and verbal communication skills.
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.
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Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $384,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.