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Principal Applied Scientist, Agentforce Operations

Job in New York, New York County, New York, 10261, USA
Listing for: salesforce.com, inc.
Full Time position
Listed on 2026-07-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 237700 - 344700 USD Yearly USD 237700.00 344700.00 YEAR
Job Description & How to Apply Below
Location: New York

Software Engineering – Foundational Models Team

Foundational Models Team develops the next generation of business intelligence and bridges the gap between cutting‑edge research and customer value. The team is part of Salesforce’s Agentforce Operations.

What You’ll 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 while shipping well‑engineered systems.
  • Partner with engineering, product, and design teams to turn research into production‑ready features that deliver immediate customer value.
We’re Looking For
  • Master’s or PhD in Computer Science, Mathematics, or a highly quantitative field with an AI/ML research focus.
  • Experience developing, deploying, and evaluating machine learning models in production or top‑tier research environments, and a deep understanding of transformer architectures and advanced retrieval mechanisms.
  • A track record of peer‑reviewed publications demonstrating novel, non‑standard AI solutions and foundational mathematical work such as stochastic modeling, graph theory, or optimization algorithms.
  • Production‑grade Python skills, including experience with automatic differentiation frameworks such as PyTorch, JAX, or Tensor Flow, and training large‑scale models across distributed GPU clusters using frameworks like Deep Speed or Torch Titan.
Even Better If
  • Experience building production‑grade ML pipelines using tools like Kubeflow, Airflow, or MLflow for tracking, versioning, and automated retraining.
  • Built robust, distributed data pipelines for cleaning and analyzing massive datasets using tools like PySpark.
Benefits and Compensation

In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. 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 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.

Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program, and equity.

More details about company benefits can be found at

Equal Opportunity Statement

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. All employees and potential employees are assessed on the basis of merit, competence, and qualifications without regard to protected characteristics.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form at

Candidate Privacy Statement

Salesforce uses AI tools to help recruiters assess candidates’ resumes and qualifications. Humans make all selection and hiring decisions. For more information about personal data usage and AI opt‑out options, see the Candidate Privacy Statement at

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