Salesforce · 6 hours ago
Applied Scientist LMTS
San Francisco, CA
Full-time
Onsite
Senior Level
$201K/yr - $276K/yr
5+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. As a Lead Applied Scientist for the Agentforce Supply Chain Foundational model team, you will develop AI models to address complex challenges in global supply chains and collaborate with cross-functional teams to build impactful product features.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Develop, implement, and deploy AI models to solve real-world complex problems in global supply chain and manufacturing
Apply and build upon state-of-the-art machine learning technologies, stay-up-to-date with current developments in the AI field, and use your expertise to inspire AI applications across the organization
Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts to build high-quality product features that can be used by major companies around the world
Establish and scale robust evaluation frameworks by creating domain-specific benchmarks and automated testing suites; implement production telemetry pipelines to monitor real-world model performance, data drift, and system health
Qualification
Required
Masters/PhD in Computer Science or quantitative field with research in AI
5-7+ years of industry or post-Masters/PhD experience developing, building, and deploying Machine Learning models for real-world scenarios
Strong experience in deep learning and graphs or network theory. Experience with at least one other form of machine learning, such as natural language processing, reinforcement learning, computer vision, LLMs, etc
Deep expertise in training large-scale models across distributed systems using frameworks like PyTorch Distributed (DDP/FSDP), DeepSpeed, or TorchTitan on GPU clusters
Proficiency with Python and PyTorch, Tensorflow, or JAX
Demonstrated ability not only to use state-of-the-art machine learning techniques but also to innovate upon them
End-to-End MLOps Proficiency: Hands-on experience building and maintaining production-grade ML pipelines using tools such as Kubeflow, Airflow, or MLflow for experiment tracking, versioning, and automated retraining
Preferred
Experience with supply chain, manufacturing, or related problems
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
Chairman & Ceo Salesforce India
Marc Benioff
Chair & CEO
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