Lead Machine Learning Engineer, LLM Infrastructure

Are you passionate about driving innovation and creating cutting-edge solutions using machine learning? Do you have a strong background in software engineering and a knack for leading high-performing teams? If so, we have an exciting opportunity for you as a Lead Machine Learning Engineer for LLM Infrastructure at Salesforce. As a key member of our team, you will have the opportunity to shape the future of our machine learning capabilities and drive growth for our organization. We are looking for a highly skilled and motivated individual with a deep understanding of machine learning algorithms and a proven track record of delivering complex projects. Join us and be a part of a dynamic and collaborative environment where your skills and ideas will have a significant impact on our success.

1. Lead the development and implementation of innovative machine learning solutions for LLM Infrastructure at Salesforce.
2. Drive the growth and success of the organization by leveraging your strong background in software engineering and machine learning.
3. Collaborate with cross-functional teams to identify business needs and develop machine learning solutions to address them.
4. Design and implement scalable, efficient, and high-performing machine learning algorithms.
5. Stay updated on the latest advancements in machine learning and identify opportunities to incorporate them into our solutions.
6. Mentor and guide a team of machine learning engineers to ensure high-quality deliverables and foster a culture of innovation.
7. Work closely with stakeholders to understand their requirements and provide technical expertise and guidance.
8. Manage end-to-end project development and delivery, including planning, estimation, and execution.
9. Conduct regular code reviews and ensure adherence to coding standards and best practices.
10. Collaborate with data scientists and data engineers to build robust data pipelines and ensure seamless integration of machine learning models into production systems.
11. Communicate project progress and any challenges or roadblocks to the relevant stakeholders in a timely and efficient manner.
12. Continuously monitor and improve the performance of existing machine learning models.
13. Ensure compliance with data privacy and security regulations while developing and deploying machine learning solutions.
14. Participate in hiring and onboarding of new team members and contribute to building a diverse and inclusive team.
15. Foster a culture of continuous learning and knowledge sharing within the team and across the organization.

According to JobzMall, the average salary range for a Lead Machine Learning Engineer, LLM Infrastructure in San Francisco, CA, USA is $140,000-$180,000 per year. This may vary depending on the specific company, years of experience, and other factors.

Salesforce.com, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer-relationship management service and also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.