Lead Applied Scientist, Agentforce Operations

• What You’ll Actually Be Doing
• Design, implement, and train novel deep learning models on large-scale GPU clusters.
• Prototype new architectures and algorithms for enterprise data, such as tabular, relational, and graph-structured data.
• Stay current with AI research, apply relevant breakthroughs, and advise on internal AI strategy — wearing multiple hats as part of a startup-style team that values experimental rigor and shipping well-engineered systems.
• Partner with engineering, product, and design teams to turn research into functional, production-ready features that create immediate, tangible customer value.
• You’re Our Person If…
• You have a Master’s or Ph D in Computer Science, Mathematics, or a highly quantitative field with an AI/ML research focus
• You possess experience developing, deploying, and evaluating machine learning models in production or top-tier research environments and have a deep understanding of transformer architectures and advanced retrieval mechanisms.
• You enjoy designing novel, non-standard AI solutions by introducing core architectural changes or applying foundational mathematical disciplines such as stochastic modeling, graph theory, or optimization algorithms, and have a track record of peer-reviewed publications demonstrating this work.
• You have production-grade Python skills, including experience with automatic differentiation frameworks like Py Torch, JAX, or Tensor Flow, and experience training large-scale models across distributed GPU clusters using frameworks like Deep Speed or Torch Titan.
• Even Better If…
• You have experience building production-grade ML pipelines using tools like Kubeflow, Airflow, or MLflow for tracking, versioning, and automated retraining.
• You’ve built robust, distributed data pipelines for cleaning and analyzing massive datasets using tools like Py Spark.

Benefits

• time off programs
• medical, dental, vision, mental health support
• paid parental leave
• life and disability insurance
• employee stock purchasing program

The typical base salary range for this position is $197,300 - $313,700 annually.

In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.

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.

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