Product Policy Manager, GenAI Job at Meta (Austin, TX +1 location)

New

Verification Operations Specialist – Integrity Operations

As a Verification Operations Specialist based , you will own, develop, and execu...

Location

United States , New York

Salary:

97000.00 - 139000.00 USD / Year

Lead Java Developer

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years of relevant experience in Apps Development or systems analysis role
experience working in Financial Services or a large complex and/or global environment
working knowledge of Java 8 and above, backend REST APIs
experience on Gradle, ECS, ELK, App dynamics, Splunk is a plus
expertise on Cloud infrastructure both on-premises and public cloud (i.e., OpenShift, AWS, etc.)
expertise to Quality as Code Implementation (i.e. TDD, BDD, Unit Testing, Selenium)
expertise to API Management tools
subject Matter Expert (SME) in Applications Development
consistently demonstrates clear and concise written and verbal communication
sound knowledge of GenAI and automation tools to increase development efficiency and quality

Job Responsibility

partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
lead development for scalable, resilient and high performance system using Java, Spring Boot, for RESTful API development for communication between microservices, ensuring efficient data exchange and system integration in cloud (AWS/OpenShift) environments
lead to implement secure authentication mechanisms using JWT, OAuth and role-based access control (RBAC)

Fulltime

Core Java Developer

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of relevant experience in Apps Development or systems analysis role
Strong interest in programming
Good problem-solving, analytical and debugging skills
Keen interest and awareness in using GenAI tools throughout SDLC
Desire to improve developer productivity continuously
Focus on fundamental concepts - SOLID principles, Data Structures and Algorithms, design patterns, and best coding practices
Good understanding of Java8+ with Multithreading, Collections, JVM, performance tuning, Spring framework
Experience with build tools, testing frameworks, DBs
Python knowledge is added advantage
Experience in Product Development, Platform Engineering, Data Engineering, Developer Platform and Tools

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals
Identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming
Ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

New

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Columbia, MD

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

New

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Minneapolis

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Chicago

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Familiarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

UI/UX Design Manager, AI-First

We are seeking a visionary and results-oriented AI-First UI/UX Design Manager to...

Location

United Arab Emirates , Dubai

Salary:

25000.00 - 35000.00 AED / Month

Puffy

Expiration Date

Until further notice

Requirements

7–10 years in web design for e-commerce
4+ years leading, mentoring, and managing the operations of a design team
A portfolio that shows shipped PDP/PLP/Checkout improvements tied to clear business metrics
Expert in Figma (components, variables, Dev Mode)
strong visual/motion craft and responsive design sensibility
Proven experience implementing GenAI tools into a professional design pipeline, with a clear understanding of prompt engineering, quality control, and brand governance
Familiarity with AI-shaped UX patterns: conversational search, assistant UI, recommendation modules, and their measurement
Comfort collaborating on experiments (A/B vs multi-armed bandits) with Growth
understands trade-offs between optimization speed and causal certainty
Working knowledge of WCAG 2.2 and SEO fundamentals for structured content and schema on e-commerce sites

Job Responsibility

AI-Powered Creative Operations: Use tools like Figma AI and Adobe Firefly to rapidly explore page layouts, hero concepts, PDP modules, and image/copy variants — always with human QA and brand guardrails
Design for AI search & assistants: Create web experiences that work with conversational shopping (natural-language search, guided finders, Q&A on PDPs)
Partner with engineering to implement semantic/LLM search UIs and chat patterns inspired by market leaders
Personalization & recommendations (design side): Own the UI patterns (placements, card density, explainer microcopy, “why this” affordances) for recommendations on-site
Collaborate on rules/guardrails
validate with staged rollouts
AI-driven experimentation (design practice): When surfaces are evergreen (banners, placements, recommendation modules), partner with Growth to use bandit allocation for faster wins
keep classic A/B for high-stakes causal changes
Drive Efficiency: Develop, implement, and enforce an AI-first workflow for the design team
Systematically target and eliminate workflow bottlenecks

What we offer

Continuous learning
10% monthly bonus
Premium insurance
Achievement recognition
Free snacks and lunches
Generous annual leave
AI tools and tech stack
18+ nationalities
Social events & activities
No income tax

Fulltime

Sr Machine Learning Engineer

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-con...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerisation (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimise performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Product Policy Manager, GenAI

Meta

Location:
United States , Austin, TX +1 location

Category:
Public Relations

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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