Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software & SaaSIndustries
Requirements
Candidates must possess a PhD in Computer Science with a focus on Machine Learning or a related field, accompanied by 2-3 years of professional experience, or alternatively, a Master’s degree in a similar field with 5-6 years of professional experience. Strong experience in NLP, deep learning, and generative models is required, along with proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch. A solid understanding of model evaluation techniques and the ability to implement and deliver results via innovation at large scale are also necessary.
Responsibilities
The Senior Machine Learning Scientist will tackle challenges in advanced RAG technologies, Enterprise Knowledge Graphs, LLM Evaluations, Guardrails, Search Relevance, feedback-based learning, parameter-efficient fine-tuning, and responsible AI development, ensuring models are fair, transparent, and ethically sound. They will contribute to the development of Agentforce, a suite of autonomous AI agents, and participate in the evaluation and improvement of Salesforce’s AI models, driving unprecedented efficiency and customer satisfaction.
Skills
Deep Learning
Natural Language Processing
Generative AI
Model Development
Prototyping
AI Techniques
Salesforce
Cloud-based Customer Relationship Management solutions
About Salesforce
Salesforce offers cloud-based software solutions that focus on Customer Relationship Management (CRM). Its main product, Customer 360, provides tools for businesses to manage customer interactions across various functions like marketing, sales, and service. The company stands out by delivering customized solutions tailored to different industries and operates on a subscription model, which allows for continuous updates and improvements. Salesforce's goal is to help businesses enhance their customer relationships and drive growth.
San Francisco, CaliforniaHeadquarters
1999Year Founded
$62.7MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees