salesforce.com, inc.
Senior Data Science Engineer - Hyperforce Solutions Engineering
salesforce.com, inc., San Francisco, California, United States, 94199
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job Category:
Software EngineeringAbout 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. Join us if you are interested in developing data science solutions to make a meaningful impact in improving developer productivity!Position:
Senior Data Science EngineerWe are looking for a highly skilled and experienced Senior Data Science Engineer to join our dynamic team. The ideal candidate will lead the development and implementation of advanced data science projects, focusing on building LLM (Large Language Model) applications for internal customers using LangChain. This role requires a deep understanding of transformers, GPT architecture, and the functionalities of LangChain, as well as proficiency in A/B testing, Python, SOQL, and REST API.Responsibilities:LLM Application Development:
Lead the development and implementation of LLM applications using LangChain, focusing on transformers and GPT architecture. Understand and apply the workings of LLM, Prompt Engineering, RAG, and Agent concepts to enhance application functionalities.Experimentation and Testing:
Design and conduct A/B testing for various experiments and improvements. Utilize statistical tools to analyze test results and make data-driven decisions to optimize application performance.Data Analysis and Visualization:
Develop and maintain dashboards using tools like Tableau and Splunk to visualize experiment results, making insights accessible to Business stakeholders.Collaboration and Leadership:
Work closely with cross-functional teams to identify opportunities for improvement and innovation. Mentor junior data scientists and contribute to the team's knowledge sharing and skill development.Required Skills:A Master's degree in Computer Science, Computer Engineering, Statistics, Data Science or other relevant courses.Minimum of 5 years of experience in a data science role, with a proven track record of developing and implementing LLM applications.Demonstrated experience with Deep learning concepts and NLP frameworks such as nltk, pytorch, tensorflow, keras, huggingface, sentence_transformers, etc.Deep understanding of transformers, GPT architecture, LangChain functionalities, RAG, and Agent concepts.Extensive experience in A/B testing, statistical analysis and data visualization tools like Tableau and Splunk.Proficiency in handling unstructured data and in-depth knowledge of NoSQL databases (e.g., MongoDB, Cassandra).Experience with Kubernetes for deploying and managing scalable ML models.Accommodations:If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting Statement:At Salesforce we believe that the business of business is to improve the state of our world. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.Equal Employment Opportunity:
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.Salary Information:
For California-based roles, the base salary hiring range for this position is $165,600 to $227,700. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
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Software EngineeringAbout 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. Join us if you are interested in developing data science solutions to make a meaningful impact in improving developer productivity!Position:
Senior Data Science EngineerWe are looking for a highly skilled and experienced Senior Data Science Engineer to join our dynamic team. The ideal candidate will lead the development and implementation of advanced data science projects, focusing on building LLM (Large Language Model) applications for internal customers using LangChain. This role requires a deep understanding of transformers, GPT architecture, and the functionalities of LangChain, as well as proficiency in A/B testing, Python, SOQL, and REST API.Responsibilities:LLM Application Development:
Lead the development and implementation of LLM applications using LangChain, focusing on transformers and GPT architecture. Understand and apply the workings of LLM, Prompt Engineering, RAG, and Agent concepts to enhance application functionalities.Experimentation and Testing:
Design and conduct A/B testing for various experiments and improvements. Utilize statistical tools to analyze test results and make data-driven decisions to optimize application performance.Data Analysis and Visualization:
Develop and maintain dashboards using tools like Tableau and Splunk to visualize experiment results, making insights accessible to Business stakeholders.Collaboration and Leadership:
Work closely with cross-functional teams to identify opportunities for improvement and innovation. Mentor junior data scientists and contribute to the team's knowledge sharing and skill development.Required Skills:A Master's degree in Computer Science, Computer Engineering, Statistics, Data Science or other relevant courses.Minimum of 5 years of experience in a data science role, with a proven track record of developing and implementing LLM applications.Demonstrated experience with Deep learning concepts and NLP frameworks such as nltk, pytorch, tensorflow, keras, huggingface, sentence_transformers, etc.Deep understanding of transformers, GPT architecture, LangChain functionalities, RAG, and Agent concepts.Extensive experience in A/B testing, statistical analysis and data visualization tools like Tableau and Splunk.Proficiency in handling unstructured data and in-depth knowledge of NoSQL databases (e.g., MongoDB, Cassandra).Experience with Kubernetes for deploying and managing scalable ML models.Accommodations:If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting Statement:At Salesforce we believe that the business of business is to improve the state of our world. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.Equal Employment Opportunity:
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.Salary Information:
For California-based roles, the base salary hiring range for this position is $165,600 to $227,700. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
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