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ai security engineer

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>2 years of experience with security assessments or security design reviews or threat modeling. 
</li>
<li>2 years of experience with security engineering, computer and network security and security protocols. 
</li>
<li>2 years of coding experience in one or more general purpose languages.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Expertise in the AI security space, including research, exploits, and mitigations</li>
<li>Proficiency in programming for security research tasks such as scripting, tool development, and data analysis</li>
<li>Understanding of threat modeling, risk assessments or security assessments of products.</li>
<li>Ability to read, understand, and analyze code as well as write small tools and scripts</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

As an AI Information Security Engineer, you will help to ensure that our AI products and systems are designed and implemented to the security standards. You will perform technical security assessments, code reviews and vulnerability testing to highlight risk, helping Google teams and partners to improve security, and work on a wide variety of software designs and technology stacks. You will also work closely with other Google Engineers to design and build proactive methods to enhance our security posture. In addition, you will have the option to specialize or perform research in a number of varying fields.<div> 
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li><div><div><div>Analyze systems to identify vulnerabilities and opportunities for hardening, and report findings to stakeholders for mitigation.</div></div></div></li>
<li>Promote quality security practices across the organization, influencing software engineers, immediate colleagues, and beyond Google.</li>
<li><div><div><div>Perform rapid threat modeling of complex systems to quickly determine areas that warrant further investigation and security review.</div></div></div></li>
<li>Conduct research to identify and mitigate entire classes of vulnerabilities. Leverage AI tools and agents in your day-to-day work to scale your own capabilities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Security Engineer

<div>
 
 About Zip
 
 
 
 Zip is the AI platform for enterprise procurement &mdash; built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before.
 
 
 The world&rsquo;s most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they&rsquo;ve saved over $8 billion and processed over $500 billion in spend. Zip&rsquo;s team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA.
 
 
 Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups.
 
 
 
 Your Role
 
 
 
 The Identity team is responsible for the platforms that manage user access and data confidentiality for customers. As a Software Engineer on the team, you will take on a dynamic role, developing core customer-facing identity products, such as authentication/authorization, user account security, and encryption key management. We move quickly to solve a wide range of complex technical and product challenges. While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve complex technical challenges.
 
 
 You will
 
 
 <ul>
 <li>
 Design and build product features for enterprise customers, such as AI-powered anomaly detection for payment fraud and account takeovers, granular access control and identity management, and bring-your-own-key encryption.
 </li>
 <li>
 Work closely with cross-functional product and customer-facing teams to understand requirements and ship thoughtful solutions.
 </li>
 <li>
 Work closely with our customers&rsquo; security teams (e.g., Discover, Snowflake, and Anthropic) to understand their needs and learn how they assess risk.
 </li>
 <li>
 Build guardrails, tooling, frameworks, and automation to empower software engineers to ship secure changes and prevent vulnerabilities from reaching the main branch.
 </li>
 <li>
 Design and build scalable frontend applications and components.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 1+ years of experience in a software engineering role. This role requires software development experience.
 </li>
 <li>
 Experience with web application and API development in production environments. At Zip, our stack includes Python, Typescript, React, and GraphQL.
 </li>
 <li>
 Experience in enterprise SaaS, fintech, software security best practices, and compliance frameworks is a bonus, but not required.
 
 
 
 </li>
 </ul>
 The salary range for this role is $150,000 - $180,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
 
 
 
 Perks &amp; Benefits
 
 
 
 At Zip, we&rsquo;re committed to providing our employees with everything they need to do their best work.
 
 
 <ul>
 <li>
 📈 Start-up equity
 </li>
 <li>
 🦷 100% health, vision &amp; dental coverage options
 </li>
 <li>
 🍽️ Catered breakfast, lunch, &amp; dinner
 </li>
 <li>
 🌴 Flexible PTO
 </li>
 <li>
 🏋️&zwj;&female;️ ClassPass membership
 </li>
 <li>
 🚍 Monthly commuter benefit
 </li>
 <li>
 🚠 Team building events &amp; happy hours
 </li>
 <li>
 💻 Home office stipend
 </li>
 <li>
 🛜 Phone/internet reimbursement
 </li>
 <li>
 🏠 Hybrid model + 5 flexible remote days per quarter
 </li>
 <li>
 🍼 Paid parental leave
 </li>
 <li>
 🐣 Fertility benefits
 </li>
 <li>
 🧑&zwj;🧑&zwj;🧒&zwj;🧒 Employee Assistance Program (EAP)
 </li>
 <li>
 🤖 Unlimited AI token usage
 
 
 
 </li>
 </ul>
 
 We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
 
</div>

Software Engineer, Identity

Andiamo

<div>
 Generative AI Engineer - Pre-IPO Tech Company
 
 
 
 About The Role
 
 
 
 We are seeking a talented
 
 Generative AI Engineer
 
 to help design and build the next generation of AI-powered applications at a high-growth, pre-IPO technology company. You will work on applying large language models (LLMs), multimodal AI, and cutting-edge generative techniques to create products that transform how our customers interact with data, content, and decision-making systems.
 
 
 This is a hands-on engineering role at the intersection of AI research and scalable product development. You will collaborate with data scientists, ML engineers, and product managers to prototype, deploy, and optimize generative AI systems that deliver measurable customer and business impact.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop Generative Applications: Build production-ready systems leveraging LLMs and generative models for NLP, code, and multimodal use cases.
 </li>
 <li>
 Integrate with Products: Design APIs and services that embed generative AI capabilities into customer-facing applications.
 </li>
 <li>
 Optimize Models: Fine-tune, distill, and adapt foundation models to specific tasks and domains for efficiency and performance.
 </li>
 <li>
 Leverage Retrieval &amp; Memory: Implement retrieval-augmented generation (RAG), vector search, and embeddings for context-aware AI solutions.
 </li>
 <li>
 Ensure Reliability: Build monitoring and evaluation pipelines to track model quality, detect drift, and maintain trustworthiness in production.
 </li>
 <li>
 Collaborate Cross-Functionally: Work with researchers and product leaders to translate cutting-edge AI into practical features.
 </li>
 <li>
 Stay Ahead: Keep current with state-of-the-art generative AI research and frameworks, bringing new ideas and approaches into the company.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Professional Experience: 3-7 years in applied ML/AI engineering, with at least 1-2 years working on generative AI, LLMs, or related areas.
 </li>
 <li>
 Technical Skills: Proficiency in Python, strong experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex).
 </li>
 <li>
 LLM Experience: Hands-on experience fine-tuning or deploying large language models, and familiarity with APIs such as OpenAI, Anthropic, or similar.
 </li>
 <li>
 Infrastructure Knowledge: Experience with cloud ML platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) and vector databases (Pinecone, Weaviate, Milvus, FAISS).
 </li>
 <li>
 Systems Thinking: Ability to design scalable pipelines for training, inference, and integration into production systems.
 </li>
 <li>
 Collaboration: Strong communication skills and ability to partner across engineering, product, and research teams.
 </li>
 <li>
 Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, AI/ML, or a related field; PhD a plus.
 
 
 </li>
 </ul>
 Why Join
 
 
 This is a unique opportunity to shape the future of generative AI at a pre-IPO company with $500M+ in funding. As a Generative AI Engineer, you&rsquo;ll work with state-of-the-art models, solve complex problems at scale, and bring transformative AI capabilities directly to customers. You&rsquo;ll be part of a high-growth team where innovation is encouraged, impact is immediate, and the future of AI is being built.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

AI/Generative AI Engineer

Prolific

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (PST)

Uber

<div>About the Role
 
 
The Security and Privacy Architecture team is Uber's technical privacy authority. We lead architectural reviews, define privacy engineering standards, and build prototypes that prove out privacy solutions before they're productionized. This role focuses on the intersection of privacy and AI: you'll design controls for LLM-based products, agentic systems, and unstructured data pipelines, and build working PoCs that demonstrate measurable impact. It's a high-visibility position where you'll shape how Uber adopts AI safely and turn one-off privacy problems into scalable platform capabilities. 
 
- What the Candidate Will Do -<ul><li>
Design and prototype privacy and security controls for AI systems - prompt/log handling, fine-tuning data pipelines, vector stores, and agentic tool integrations.</li><li>
Lead privacy design reviews and architectural assessments for high-impact systems including large-scale data platforms, real-time streaming infrastructure, advertising systems, and new AI products.</li><li>
Build working anonymization PoCs for unstructured data and multimedia, going beyond regex to handle complex entity types, multi-locale data, and contextual identifiers.</li><li>
Identify recurring manual privacy/security processes and convert them into scalable automations, templates, and platform capabilities.</li><li>
Partner with Security, Privacy Legal, Product, Infrastructure, Compliance, and Ads teams on complex privacy workstreams; mentor engineers on privacy-by-design and safe AI system design.</li></ul>
- Basic Qualifications - 
<ul><li>
Bachelor's degree in Computer Science, Engineering, Information Security, or a related technical field.</li><li>
8+ years in software engineering, security engineering, or privacy engineering.</li><li>
Demonstrated hands-on building: you have personally designed and prototyped technical solutions, not just reviewed or advised on them. You should be able to walk us through your technical approach and design decisions in depth.
</li><li>Expertise in privacy engineering: anonymization, data minimization, deletion/retention architecture, etc.</li><li>
Strong understanding of distributed systems, service-oriented architectures, and modern data platforms.</li><li>
Experience leading complex cross-functional technical initiatives across multiple teams.</li><li>
Experience defining technical standards for new technology areas.</li><li>
Strong communication skills. You can explain privacy/technical tradeoffs clearly to engineers, legal partners, and senior leadership.</li></ul> 

- Preferred Qualifications - 
<ul><li>
Experience performing architectural privacy reviews and translating ambiguous requirements into clear technical standards and implementation guidance.</li><li>
Experience building privacy/security controls for AI/ML systems: LLM-based products, agentic systems, model evaluation pipelines, or enterprise AI tooling.</li><li>
Hands-on experience with PII detection, redaction, or pseudonymization for unstructured data or multimedia (video, audio, images), including experience with NER models, ML-based approaches, or computer vision for de-identification.</li><li>
Experience with data deletion architecture: deletion propagation, derived data cleanup, backup/restore, legal hold, and retention enforcement.</li><li>
Experience prototyping with ML/LLM tools to solve privacy/security problems (e.g., using language models for PII detection, building classifiers for sensitive data, or applying ML to privacy automation).</li><li>
Background in privacy-sensitive domains: adtech, autonomous vehicles, financial services, identity, marketplace data, or cross-border data sharing.</li><li>
Research background or experience in de-identification, synthetic data, or privacy-preserving transformations.</li></ul> 
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Staff Security Engineer, Privacy Engineering & AI

OpenAI

<div>
 
 About The Team
 
 
 
 The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways&mdash;especially for youth and families.
 
 
 We work across OpenAI&rsquo;s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility.
 
 
 This work is core to OpenAI&rsquo;s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You&rsquo;ll help define how teens and guardians engage with OpenAI products&mdash;ensuring those experiences are safe, compliant, and empowering.
 
 
 You&rsquo;ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You&rsquo;ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts.
 
 
 This is a high-impact, 0&rarr;1 opportunity to set the standard for how families interact with generative AI.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT.
 </li>
 <li>
 Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs.
 </li>
 <li>
 Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale.
 </li>
 <li>
 Help define safety and well-being metrics, and continuously improve user trust through technical interventions.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology.
 </li>
 <li>
 Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale.
 </li>
 <li>
 Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development.
 </li>
 <li>
 Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions.
 </li>
 <li>
 Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Software Engineer, Youth Well-Being

Meta

<div>
 Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You&rsquo;ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us!
 
 
 Data Engineer, Analytics (Technical Leadership) Responsibilities:
 
 
 <ul>
 <li>
 Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
 </li>
 <li>
 Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
 </li>
 <li>
 Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
 </li>
 <li>
 Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
 </li>
 <li>
 Define and manage SLA for all data sets in allocated areas of ownership
 </li>
 <li>
 Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
 </li>
 <li>
 Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
 </li>
 <li>
 Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
 </li>
 <li>
 Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
 </li>
 <li>
 Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
 </li>
 <li>
 Influence product and cross-functional teams to identify data opportunities to drive impact
 </li>
 <li>
 Mentor team members by giving/receiving actionable feedback
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 10+ years experience in the data warehouse space
 </li>
 <li>
 10+ years experience in custom ETL design, implementation and maintenance
 </li>
 <li>
 10+ years experience with object-oriented programming languages
 </li>
 <li>
 10+ years experience with schema design and dimensional data modeling
 </li>
 <li>
 10+ years experience in authoring SQL statements
 </li>
 <li>
 Experience analyzing data to identify deliverables, gaps and inconsistencies
 </li>
 <li>
 Experience managing and communicating data warehouse plans to internal clients
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 BS/BA in Technical Field, Computer Science or Mathematics
 </li>
 <li>
 Experience working with either a MapReduce or an MPP system
 </li>
 <li>
 Knowledge and practical application of Python
 </li>
 <li>
 Experience working autonomously in global teams
 </li>
 <li>
 Experience influencing product decisions with data
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $210,000/year to $281,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Data Engineer, Analytics (Technical Leadership)

Explore 96+ Ai security engineer in San Francisco United States this April. Find roles across top companies and apply now to boost your career.