Software Engineering Architect

Salesforce, Inc.; United States; Remote; USD 250.000 - 350.000; Vollzeit

Zusammenfassung

Salesforce, Inc. is seeking a Principal Scientist to drive core algorithmic research for cutting-edge machine learning capabilities, focusing on session-based behavioral modeling and high-dimensional embeddings.

You will lead research, design production-grade embedding architectures, and guide architectural decisions across the organization. The role demands 15+ years of experience in algorithmic research and strong Python/PyTorch expertise to deliver scalable enterprise solutions and rigorous

Qualifikationen

• PhD in a quantitative field with a strong publication record.
• Experience translating ML research into production systems.
• Expertise in representation learning and embeddings.

Aufgaben

• Lead core algorithmic research for real-time recommendation services.
• Design and train high-dimensional embeddings from event streams.
• Translate theory into production-grade architectures and validation.
• Develop validation dashboards and data-analysis tools to ensure quality.
• Stay updated on state-of-the-art ML research and apply relevant findings.
• Provide scientific guidance on modeling decisions across teams.

Kenntnisse

Representation learning

Vector embeddings

Sequential models

Python

PyTorch

Statistical modeling

Production ML

Ausbildung

PhD in Computer Science, Mathematics, Statistics

Tools

NumPy

SciPy

Pandas

Jobbeschreibung

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 Principal Scientist, you will drive the core algorithmic research and mathematical modeling that underpins our most advanced machine learning capabilities. You will focus on session-based behavioral modeling and the creation of high-dimensional embedding spaces that represent complex user interactions. Your scientific leadership will ensure that Salesforce maintains proprietary, cutting-edge algorithmic capabilities in-house.

What You’ll Do:

• Lead the scientific research and development of core algorithms supporting real-time recommendation services (e.g., SessionFlow).
• Design and train high-dimensional vector embeddings to capture nuanced behavioral signals from raw event streams.
• Translate complex mathematical concepts into production-grade embedding architectures and statistical validation frameworks.
• Develop validation dashboards and exploratory data analysis tools to ensure the integrity and quality of algorithmic outputs.
• Stay abreast of state-of-the-art research in representation learning, sequential recommendations, and neural architectures, applying relevant findings to enterprise problems.
• Serve as a primary scientific authority, providing peer review and architectural guidance on complex modeling decisions across the organization.

What You Bring:

• PhD in Computer Science, Mathematics, Statistics, or a closely related quantitative field.
• 15+ years of experience in algorithmic research, statistical modeling, and applied machine learning.
• Deep expertise in representation learning, vector embeddings, and sequential/session-based recommendation models.
• Advanced proficiency in Python, PyTorch, and scientific computing libraries (NumPy, SciPy, Pandas).
• A strong portfolio of translating theoretical ML research into practical, scalable production systems.
• Exceptional analytical skills with a proven ability to debug complex mathematical and algorithmic anomalies in high-volume data streams.

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 andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

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.