Senior Machine Learning Scientist

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

Job 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.

Do you want to be at the forefront of a team at Salesforce that is making history?
Do you want to build technology and new science that millions of people will use? Are you excited about working on large scale Generative AI, Natural Language Processing (NLP), and Deep Learning?
Salesforce, the world's #1 AI CRM, has recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing, and commerce, driving unprecedented efficiency and customer satisfaction. Agentforce enables companies to scale their workforces on demand with a few clicks.
The Einstein GPT Data Science Team seeks a strong Senior ML Scientist to tackle exciting 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 our models are fair, transparent and ethically sound. If you are interested in being part of a state-of-the-art foundational applied science team that has high visibility and customer impact, then reach out to join our team!

Basic Qualifications

• A PhD in Computer Science with a focus on Machine Learning (or a related field) accompanied by 2-3 years of professional experience OR a Master's degree in a similar field with 5-6 years of professional experience.
• Strong experience with NLP, deep learning and generative models
• Strong experience building and applying machine learning models for business applications
• Strong experience programming in Python and using machine learning frameworks such as TensorFlow or PyTorch
• Strong understanding of model evaluation techniques
• Proven ability to implement, operate, and deliver results via innovation at large scale

Preferred Qualifications

• Expertise with 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
• A track record of publications in top-tier ML conferences
• 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

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.