Salesforce · 22 hours ago
Senior/Lead Machine Learning Engineer
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. They are seeking a Senior/Lead Machine Learning Engineer to design and build cutting-edge AI/ML solutions powering enterprise AI products, collaborating with cross-functional partners to transform innovative ideas into customer-facing features.
Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareSaaSSoftwareAgentic AICRMSales Enablement
Responsibilities
Design, implement and evaluate LLM-based and classical ML systems for enterprise use cases
Transform research prototypes into AI/ML services that generalize across Salesforce customers at scale
Collaborate with fellow engineers, researchers and cross-functional partners to build data, model and deployment pipelines
Partner with product managers and stakeholders to understand customer needs and influence product direction
Lead technical discussions, drive prioritization and ensure timely delivery of ML features
Mentor junior engineers on technical design, implementation and engineering best practices
Qualification
Required
MS or Ph.D. in a quantitative discipline with 3+ years of industry experience, or BS with 5+ years of relevant industry experience, or equivalent practical experience building ML production systems
Strong experience designing, training and evaluating machine learning models and working with large-scale datasets. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch)
Proven experience building scalable, production-grade machine learning services
Experience in one or more ML domains such as LLMs, NLP, deep learning, or classical machine learning
Experience applying ML techniques in real-world applications such as conversational AI, retrieval-augmented generation (RAG), synthetic data generation, content classification, or recommendation systems
Familiar with software engineering methodologies (agile, scrum) and best practices (version control, testing, CI/CD, code review, etc.)
Strong communication skills, comfortable leading technical discussions and aligning project priorities across cross-functional partners such as engineers, researchers, and product managers
Preferred
Experience designing and building microservices, familiar with Kubernetes/Docker/RESTful API, etc
Experience with cloud platforms such as AWS/GCP/Azure
Knowledge of enterprise SaaS space
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.
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
Recent News
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2026-02-09
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