Senior ML Engineer

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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.

About the company:

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.

About the team:

Join the Marketing AI/ML Algorithms and Applications team within Salesforce's marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's marketing initiatives, helping to promote our vast product portfolio to a global customer base, including 90% of the Fortune 500. By driving state-of-the-art ML solutions for our internal marketing platforms, you'll directly contribute to enhancing the effectiveness of Salesforce's marketing efforts for our own products and services. Your ML expertise will play a pivotal role in accelerating Salesforce's growth. This is a unique chance to apply your passion for ML to drive transformative business impact on a global scale, shaping the future of how Salesforce engages with potential and existing customers, and contributing to our continued innovation and industry leadership in the CRM and Agentic AI space.

We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of high-impact ML model pipelines that measurably improve marketing effectiveness and deliver customer value. In this critical role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to be a key contributor in the design, implementation, and operations of end-to-end ML solutions at scale. You will be a key contributor in implementing and optimizing the MLOps lifecycle, adhering to best practices, and collaborating with team members to enhance our machine learning capabilities. Your expertise will help drive innovation and maintain our position at the forefront of ML technology. This is a unique opportunity to apply your passion for ML and to drive transformative business impact for the world's #1 CRM provider, shaping the future of customer engagement powered by AI.

Responsibilities:

- Design and develop scalable ML platforms and pipelines leveraging cloud and open-source technologies, and contribute to establishing coding standards and workflows
- Implement MLOps best practices for model serving, monitoring, and lifecycle management; and handle occasional on-call support and incident response for production ML systems
- Optimize ML workflows for scale, performance, and cost-efficiency; review and maintain existing tool-sets and codebases
- Collaborate with Data Science, Data Engineering, Product, and Marketing teams to create ML-driven decision-making data products
- Evaluate and adopt emerging ML technologies; contribute to the ML community and open-source projects
- Lead the design and deployment of ML model pipelines in collaboration with Data Science and Data Engineering teams
- Implement infrastructure-as-code, CI/CD, and automation for efficient ML operations
- Support the rollout of ML features, working closely with Product and Marketing teams
- Assist in defining and implementing ML governance policies
- Participate in scaling operations by developing automation scripts and reusable libraries
- Contribute to documenting best practices and creating technical documentation for ML systems

Position Requirements:
- 5+ years of experience building and deploying ML model pipelines at scale
- Expert-level knowledge of containerization, orchestration, and workflow management technologies (e.g., Kubernetes, Docker, Apache Airflow) for deploying and managing complex ML pipelines at scale
- Advanced Python skills, including expertise in ML-specific libraries and best practices
- Extensive experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI)
- Proven track record in implementing MLOps best practices, including CI/CD, automated testing, and code quality assurance
- Proficiency in ML frameworks (e.g., TensorFlow, PyTorch, Keras) and MLOps tools (e.g., MLflow, Kubeflow)
- Strong experience in cloud infrastructure management, including IaC, monitoring, and big data technologies
- Strong problem-solving skills and strong technical communication skills within the team
- Experience contributing to ML projects that deliver measurable business value in marketing or customer analytics

This role offers an exciting opportunity to leverage your machine learning engineering expertise to power data and AI-driven innovation for the world's #1 CRM provider, working closely with our Data Science team to unlock transformative value for our vast global customer base through AI/ML-driven marketing initiatives.

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Posting Statement

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