LMTS Machine Learning Engineer Job at salesforce.com, inc. in new york

Overview

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. This role sits within the Salesforce ecosystem focused on AI-powered customer growth, engagement and retention initiatives.

About the Role

We are seeking a highly skilled Machine Learning Engineer to design, build, and productionalize models that drive customer growth, engagement and retention. This role will focus specifically on attrition prediction and mitigation — identifying customers at risk of churn and surfacing proactive interventions that improve customer satisfaction and lifetime value.

You will work closely with data scientists, software engineers, product managers, and business stakeholders to build scalable ML systems that power attrition predictions, risk and mitigation explanations and next best action recommendations.

What You\'ll Do

• Design predictive models for user and customer attrition using supervised, unsupervised, deep learning and generative techniques.
• Design scalable data pipelines for feature generation from structured and unstructured sources of product adoption, sales activity, and customer engagement data (e.g. product telemetry, usage logs, CRM, sales activity).
• 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.

What We\'re Looking For

• 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 ML tools and infrastructure to develop reusable, high-performing ML systems with fast model development, low-latency serving and maintainability.
• Exposure to architectural patterns of large, high-scale software applications (well-designed APIs, high-volume data pipelines, efficient algorithms).
• 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 (MLflow, Airflow, Kubeflow or equivalents).
• Experience with containerization (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, combining predictive scoring systems with generative or agentic workflows to automate customer engagement flows and recommendations.

Preferred Qualifications (Bonus Points)

• 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.

Compensation and Benefits

The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range is $207,800 - $285,800 annually. This range represents base salary only and does not include bonus, equity or benefits. Salesforce offers a variety of benefits including time off, medical/dental/vision, parental leave, life and disability insurance, 401(k), and stock purchase program. Details vary by location.

Equal Opportunity and Privacy

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Candidates are evaluated on merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. Salesforce may use AI tools to assist recruiting, with humans making final hiring decisions. See our Candidate Privacy Statement for more information about data usage and rights.

Posting Statement: Salesforce is committed to an inclusive workplace. For more information about benefits and compensation, please refer to the official Salesforce benefits page.

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