1216 Site Reliability Engineer Python jobs in New York,NY

Bachelor's degree in Computer Science or related field required
5–7+ years of Salesforce development experience
Hands-on experience with Vlocity (OmniStudio) development
Strong hands-on experience with OmniStudio (Vlocity): OmniScripts, DataRaptors, Integration Procedures, FlexCards
Strong hands-on experience with Salesforce technologies: Apex, LWC, Visualforce
Strong hands-on experience with SOQL, SOSL, REST/SOAP APIs
Experience with Salesforce data and configuration: including Workflows, Flows, Page Layouts, Roles, Profiles, Reports & Dashboards
Experience with Salesforce data tools (Data Loader, Excel tools, VS Code)
Integration experience using web services, middleware (e.g., MuleSoft), and SSO
Familiarity with Salesforce Health Cloud (preferred) - must be considered as a separate preference if applicable
Working knowledge of CI/CD tools (Azure DevOps or similar), version control, and Agile methodologies
Experience with relational databases (e.g., Microsoft SQL Server, T-SQL)

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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