Software Engineering PMTS - Data Engineer

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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.

About the Team:

Digital Enterprise Technology (DET) at Salesforce builds the internal engines that power our business. The Machine Learning & Innovation (MLI) team is the applied science and infrastructure strike-force responsible for "Foundry," our unified ML/AI Platform. We operate as "Customer Zero," building the high-velocity, real-time streaming feature platforms and recommendation models that power internal products like the Events App and enterprise-wide personalization.

Role Overview:

As a Senior Staff ML Engineer, you will be the primary technical lead driving the design, training, and deployment of personalization models for high-visibility Customer Zero applications. You will operate at the cutting edge of applied machine learning, focusing on recommendation systems, ranking pipelines, and embedding evaluations. Your work will directly shape the intelligence of the Salesforce Events App and other mission-critical products.

What You'll Do:

• Lead the end-to-end development of recommendation ranking pipelines (e.g., AgendaFlow, Agenda Compass) from raw data processing to production serving.
• Design and implement complex candidate generation models and collaborative near-line filtering systems.
• Conduct rigorous embedding evaluations and feature engineering to continuously improve model precision and recall.
• Partner with platform engineers to optimize model serving latency and ensure sub-100ms response times for real-time personalization.
• Collaborate directly with product management and experimentation teams to define metrics and execute robust A/B tests for algorithmic iterations.
• Mentor junior and mid-level engineers in applied ML best practices, code quality, and algorithmic troubleshooting.

What You Bring:

• 10+ years of professional software engineering experience, with significant focus on applied machine learning and data science.
• Deep expertise in building and deploying large-scale recommendation systems, ranking algorithms, and personalization models.
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Scikit-Learn).
• Experience with streaming feature stores (Zipline, Feast) and online feature engineering.
• Solid understanding of statistical evaluation methods, A/B testing, and model performance metrics (AUC, NDCG, Precision/Recall).
• Ability to translate complex business objectives into measurable, scalable machine learning architectures.

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 need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.