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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.

Einsteinproducts&platformdemocratizesAIandtransformsthewayourSalesforceOhana buildstrustedmachinelearningandAIproducts-indaysinsteadofmonths.Itaugmentsthe SalesforcePlatformwiththeabilitytoeasilycreate,deploy,andmanageGenerativeAIandPredictiveAIapplicationsacrossallclouds.Weachievethisvisionbyprovidingunified, configuration-driven,andfullyorchestratedmachinelearningAPIs,customer-facingdeclarative interfacesandvariousmicroservicesfortheentiremachinelearninglifecycleincludingData, Training,Predictions/scoring,Orchestration,ModelManagement,ModelStorage, Experimentationetc.Wearealreadyproducingoverabillionpredictionsperday,Training1000sofmodelsperday alongwith10sofdifferentLargeLanguagemodels,servingthousandsofcustomers.Weare enablingcustomers'usageofleadinglargelanguagemodels(LLMs),bothinternallyand externallydeveloped,sotheycanleverageitintheirSalesforceusecases.Alongwiththe powerofDataCloud,thisplatformprovidescustomersanunparalleledadvantageforquickly integratingAIintheirapplicationsandprocesses.

• 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?

Required Skills:

• 4 years of industry experience of ML engineering in building AI system and/or services.

• WorkingwithSagemaker,Tensorflow,Pytorch,Triton,Spark,orequivalentlarge-scale distributedMachineLearningtechnologiesonamoderncontainerizeddeploymentstack usingKubernetes,Spinnaker,andothertechnologies

• ExperiencebuildingDistributedmicroservicesonAWS,GCPorotherpubliccloudsubstrates

• Strong experience building and applying machine learning models for business applications

• Proven ability to implement, operate, and deliver results via innovation at large scale

• 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.

• Experience in developing deep learning models with complex business use cases and big amount of unstructured data.

• Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP.

• Expertise with applying LLMs, prompt design, and fine-tuning methods

• Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods

• Experience with conversational AI

• Fantastic problem solver; ability to solve problems that the world has not solved before

• Excellent written and spoken communication skills

• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

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