Job Details

Senior Machine Learning Engineer

  2025-09-12     Salesforce     San Francisco,CA  
Description:

Senior Machine Learning Engineer – Salesforce

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Job Category
Software Engineering

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. We're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Salesforce operates at scale to support billions of transactions daily and seeks to evolve its core infrastructure software. This role focuses on applying machine learning to improve speed, scale, and high availability of our multi-tenant cloud computing system.

The Role

The Service Protection team in India at Salesforce.com is seeking a talented Machine Learning Engineer to join our team to focus on system resiliency and high availability of our multi-tenant, on-demand cloud computing system. You will work with our distributed systems software engineering team to train and deploy machine learning models to detect anomalies and automate resolution to address availability and scalability challenges.

Responsibilities
  • Use infrastructure data to assess, design, implement, train, and test machine learning models to detect anomalies
  • Work with data and software engineers to apply ML models and scale to production deployments for anomaly detection
  • Design and implement major pieces of Salesforce core infrastructure, delivering high-quality, production-ready code
Basic Qualifications
  • MS or PhD in Computer Science
  • 5+ years of experience in one or more of: machine learning, recommendation systems, data mining
  • Experience with deep neural networks and Gaussian processes
  • Experience with ML frameworks (TensorFlow, PyTorch, Keras)
  • Experience with Java and Python
  • Solid understanding of probability and statistics
  • Strong mathematical and analytical skills
Desirable Qualifications
  • Experience with large-scale data in high-throughput environments
  • Experience with Kafka or messaging/streaming tools
  • Experience with agile software development and short release cycles
About Salesforce

Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are committed to equality and creating an inclusive workplace free from discrimination. Our benefits include time off programs, medical/dental/vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. Details at:

Accommodations: If you require assistance due to a disability applying for open positions, please submit a request via the 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. We benchmark merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other classifications protected by law. Details available in our postings and policies. Compensation in the United States is determined by factors such as location, job level, and experience, and may include incentive compensation, equity, and benefits.

For Washington-based roles, base salary ranges are provided in job postings; ranges vary by location. This description does not guarantee a specific salary.

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