Lead ML Engineer

Customer Company specializing in AI, Data, and CRM solutions, helping companies across industries connect with customers in innovative ways.
Machine Learning
Staff Software Engineer
In-Person
8+ years of experience
AI · Enterprise SaaS

Description For Lead ML Engineer

Salesforce, the Customer Company, is seeking a Lead ML Engineer to join their innovative team. This role sits at the intersection of AI, Data, and CRM, helping shape the future of business technology. As a Lead ML Engineer, you'll be responsible for designing and implementing scalable generative AI services that power thousands of applications across multiple tenants. You'll work with cutting-edge technologies including LLMs, distributed systems, and modern ML frameworks.

The ideal candidate brings 8+ years of ML engineering experience and deep expertise in building production-scale AI systems. You'll collaborate with cross-functional teams including Product Managers, Architects, and Data Scientists to bring innovative solutions to life. Your strong background in both theoretical ML concepts and practical engineering will be essential for success.

This role offers the opportunity to work on challenging problems at scale, implementing solutions that haven't been solved before. You'll be part of a company that values innovation and believes in using business as a platform for positive change. Salesforce's commitment to their core values and customer success makes this an ideal environment for those passionate about both technical excellence and meaningful impact.

The position requires expertise in Java/Python, modern ML frameworks, and distributed systems. You'll be working with technologies like Kafka, Spark, and Docker, while applying your knowledge of LLMs, prompt engineering, and state-of-the-art generative AI techniques. This is a chance to shape the future of enterprise AI applications while working for a leader in the CRM and business solutions space.

Last updated 5 days ago

Responsibilities For Lead ML Engineer

  • Design and deliver scalable generative AI services for multi-tenant applications
  • Drive system efficiencies through automation, capacity planning, and performance tuning
  • Participate in periodic on-call rotations
  • Partner with Product Managers, Architects, Data Scientists, and Researchers
  • Design prototypes and bring innovative technologies to production

Requirements For Lead ML Engineer

Python
Java
Kafka
  • 8+ years of industry experience in ML engineering
  • Experience with LLMs and prompt engineering
  • Strong experience building and applying machine learning models
  • Strong experience programming in Java/Python
  • Experience with TensorFlow or PyTorch
  • Experience with distributed systems and frameworks (Kafka, Spark, Docker, Hadoop)
  • Good working knowledge of Deep Learning and Machine Learning algorithms
  • Strong leadership and collaboration skills

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