Salesforce · 6 hours ago
Senior/Lead Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$114K/yr - $307K/yrSalesforce is the #1 AI CRM, where humans with agents drive customer success together. They are seeking a highly skilled Machine Learning Engineer to design, build, and productionalize models that drive customer growth, engagement, and retention, focusing on attrition prediction and mitigation.
Artificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Design predictive models for user and customer attrition using supervised, unsupervised, deep learning and generative techniques
Design scalable data pipelines for feature generation from both structured and unstructured sources of product adoption, sales activity, and customer engagement data (e.g. product telemetry, usage logs, CRM, sales activity, etc.)
Build and maintain production-grade ML services, integrating models into APIs or decision systems that support real-time and batch use cases
Continuously monitor and improve model performance through drift detection, retraining automation and impact measurement
Collaborate with product and engineering teams to integrate models into production systems and agentic experiences, ensuring scalability, robustness and efficiency
Mentor junior engineers and data scientists and provide technical leadership in model architecture, experimentation, and deployment best practices
Qualification
Required
Demonstrated ability to take models from research to production
Strong software engineering proficiency in Python and data manipulation skills like SQL
Experience using third-party and in-house Machine learning tools and infrastructure to develop reusable, high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep
Exposure to architectural patterns of a large, high-scale software application (e.g. well-designed APIs, high volume data pipelines, efficient algorithms, etc.)
Familiarity with ML libraries such as scikit-learn, XGBoost, Pytorch, or TensorFlow
Experience with feature engineering on big data (Spark, Trino, Snowflake, etc.)
Experience with ML lifecycle management tools (ML Flow, Airflow, Kubeflow or equivalents)
Experience with containerization technologies (Docker) and orchestration (Kubernetes)
Strong grasp of model evaluation, drift monitoring and explainability best practices
Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD
Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance
Experience communicating technical vision, mentoring junior engineers and managing projects
Experience developing and evaluating AI Agents that integrate with traditional ML models, (e.g. combining predictive scoring systems with generative or agentic workflows to automate customer engagement flows and recommendations)
Preferred
Familiarity with retention modeling or next best action recommendation systems
Experience developing or contributing to shared ML frameworks or internal ML Ops platforms
Experience with Feature Stores like Feast
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.
Founded in 1999
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
CEO & Chairperson, Salesforce India and South Asia
Marc Benioff
Chair & CEO
Recent News
LogisticsGulf
2025-12-30
2025-12-30
Company data provided by crunchbase