ML Engineering MTS / SMTS

Global leader in CRM and enterprise cloud computing solutions, providing innovative software for customer relationship management.
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For ML Engineering MTS / SMTS

Join Salesforce's innovative team as an ML Engineering MTS/SMTS to build cutting-edge generative AI services and components for Einstein GPT vision. This role combines full-stack development expertise with machine learning engineering, focusing on creating scalable AI solutions used by millions daily. The position offers a unique opportunity to work with state-of-the-art LLMs and NLP technologies while building production-level AI frameworks.

The role demands a mix of technical expertise in both software engineering and machine learning, with opportunities to work on challenging problems at scale. You'll be part of a dynamic team that embraces a hybrid work model and values individual growth and autonomy. The position involves collaborating with various stakeholders, from Product Managers to Deep Learning Researchers, to bring innovative technologies to production.

Salesforce offers an exceptional benefits package, including comprehensive healthcare, parental leave, and professional development opportunities. The company's commitment to the 1:1:1 model for giving back to the community adds a meaningful dimension to the role. With a minimum requirement of 3 years (MTS) or 8 years (SMTS) of ML engineering experience, this position is perfect for those looking to make a significant impact in the AI/ML space while working for a global leader in enterprise software.

The ideal candidate will have strong experience with LLMs, prompt engineering, and distributed systems, combined with excellent problem-solving and communication skills. This role offers the chance to shape the future of AI applications while working with cutting-edge technologies in a collaborative, growth-oriented environment.

Last updated 4 hours ago

Responsibilities For ML Engineering MTS / SMTS

  • Design and deliver scalable generative AI services for multiple applications and tenants
  • Drive system efficiencies through automation, capacity planning, and performance tuning
  • Participate in periodic on-call rotations
  • Partner with Product Managers, Architects, and researchers to understand requirements
  • Develop application code meeting acceptance criteria
  • Build and deploy automated tests including unit, integration, and performance tests

Requirements For ML Engineering MTS / SMTS

Java
Python
Kubernetes
  • Min 3 years (MTS) & Min 8 years (SMTS) of ML engineering experience
  • Extensive programming experience as a Full-stack engineer
  • Good knowledge of Java or similar programming languages
  • Experience with LLMs and prompt engineering
  • Strong experience with Python and ML frameworks (TensorFlow/PyTorch)
  • Experience with distributed systems and frameworks (Kafka, Spark, Docker, Hadoop)
  • Prior experience with GenAI, chatbot, or NLP-based applications

Benefits For ML Engineering MTS / SMTS

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Comprehensive benefits package
  • Well-being reimbursement
  • Generous parental leave
  • Adoption assistance
  • Fertility benefits
  • World-class enablement and training
  • Executive thought leadership exposure
  • 1:1 coaching with leadership
  • Volunteer opportunities

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