ML Platform Engineer at Salesforce

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

233900.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Platform Engineering, Software Engineering, ML Infrastructure, Python, AWS, CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Networking, MLOps, Monitoring, Security, Collaboration, Documentation

Industry

Software Development

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details 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. The world of work as we know it is changing and 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. We are seeking a highly skilled and motivated AI Platform Engineer to play a pivotal role in the development of our ML/AI platform. This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches. You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization.. This isn’t a traditional infrastructure role. You should be open to wearing multiple hats—including but not limited to infrastructure, software engineering, and UI/UX development. We’re looking for innovative, out-of-the-box thinkers who aren’t afraid to experiment, build complex systems, and tackle challenges across the stack. What You’ll Do Key Responsibilities: Infrastructure Development: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) including networking, permissions management, data management, and kubernetes. ML Platform Services: Develop and maintain core ML platform components such as Model Registry, permissions services for project access, and tools for SageMaker default setup and deployments. CI/CD and Workflow Automation: Build and optimize CI/CD pipelines using GitHub Actions for efficient and secure code deployment, Docker and package building, and security scanning. Networking: Ensure robust and secure connectivity for the platform, including ingress (public and VPN), egress, and domain management (Route53). Manage service mesh (Istio) for traffic routing and security trust between micro services. Tooling and Automation: Implement and manage essential tooling to enhance developer productivity and platform security, including secrets management, package/dependency management, testing frameworks, developer self-service tools, automation scripts/bots, and observability integrations. Monitoring and Reliability: Contribute to establishing monitoring solutions (e.g., Grafana, PagerDuty) and integrate security scanning to ensure platform health and security. Security & Compliance: Participate in security reviews and ensure all platform components adhere to security best practices and compliance requirements. Collaboration: Work closely with cross-functional teams, including ML engineers, data scientists, and product managers, to deliver robust and high-performance solutions. Documentation: Create and maintain comprehensive documentation for infrastructure, services, workflows, and user guides. What We’re Looking For Proven experience as a Platform Engineer, Software Engineer, or ML Infrastructure Engineer. Strong software engineering skills, particularly with Python, for building scalable tools, automation scripts, and platform components. Strong expertise in cloud platforms, particularly AWS (IAM, EKS, S3, SageMaker, etc.). Extensive experience with CI/CD tools, especially GitHub Actions and ArgoCD Proficiency in infrastructure-as-code principles and tools (e.g., Terraform). Experience with containerization technologies (Docker) and orchestration (Kubernetes). Understanding of networking concepts within cloud environments and service mesh technologies (eg., Istio) Experience with MLOps concepts and tools. Knowledge of Airflow or other workflow orchestration tools. Experience with monitoring and alerting systems (Grafana, PagerDuty). Familiarity with Okta or similar identity and access management systems. Experience with tenant and project onboarding processes in a multi-tenant environment. Familiarity with security best practices and conducting security reviews. Ability to manage multiple priorities and dependencies effectively. Excellent problem-solving and communication skills. Preferred Qualifications (Bonus Points): Exposure to A/B testing experimentation platforms. Experience with Salesforce Ecosystem Have Built Agents and Evaluated them Experience with Agent Memory , MCP servers etc. Experience with unstructured databases(vector or graph databases) and RAG pipelines Experience working with modern data platforms and real-time processing frameworks, including cloud data warehouses (e.g., snowflake), streaming technologies (e.g. kafka, flink) Experience with Feature Stores like Feast Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this 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. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $162,800 - $233,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. 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.

Responsibilities

The role involves designing, implementing, and managing secure and scalable cloud infrastructure, as well as developing and maintaining core ML platform components. Additionally, the engineer will build and optimize CI/CD pipelines and ensure robust connectivity for the platform.