Staff Detection Engineer Jobs

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. Responsibilities Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. Collaborate with top-tier academic and industry researchers in SII's external research network. Publish findings at premier venues and contribute to the broader security research community. Qualifications Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus o

As a CNC Programmer at Zoox, you'll interface with a broad range of Engineers and Craftspeople to build hardware systems for our Vehicle, Compute, Sensor, and testing fleets. Core values include a positive outlook, good interpersonal skills, and a desire to affect a company genuinely trying to change the world. Familiarity with names like Hermle, DMG Mori, Siemens, Heidenhain, Lang, Haimer, and Robotic Solutions will give you a head start at Zoox. Your experience in a professional and well-equipped CNC shop and positive outlook in a team environment will serve equally well on the path to success. Our team encompasses everything from prototyping to manufacturing operations. Career growth will be at your disposal. We serve an entire company and often volunteer to step outside our disciplines to help all who ask. If this sounds like the position you're looking for, we look forward to meeting you. In this role, you will: Manufacture parts from one-off prototypes to short-run production in a variety of materials Program 5-axis CNC machines using HyperMILL Design and machining of fixtures to hold components during machining operations Setup and teardown of CNC machines Interface with people across the company to acquire the correct set of data needed to make components Assist in ordering materials and tools for the machine shop Develop and maintaining digital tooling and work holding databases Work with engineering teams to provide DFM feedback for machined components Qualifications Extensive experience as a 5-axis CNC mill machinist 10+ years of experience as a CNC programmer using state-of-the-art CAM systems with 3D simulation and collision detection capabilities Familiarity with Heidenhain and Siemens CNC controls Strong CAD skills <p

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The US Construction Engineering department leads all aspects of the design and construction efforts for high-tech, large-scale projects for Micron in the US. Current high-profile projects include two high-volume manufacturing fabs in Boise, ID1 and ID2, and a third fab in Clay, New York. We are seeking an experienced BIM Coordinator to monitor vendor BIM Coordination our ongoing projects. Key Responsibilities Monitor third-party design and construction firms in the development of multi-disciplinary construction models. Review and validate third-party BIM work and requirements, including clash detection workflows, metadata checks, LOD alignment, ACC model management workflows, model & file naming conventions, and IFC/IFF model signoff & turnover expectations. Collaborate with external BIM teams to align BIM expectations with facility requirements and project timelines, and manage contractor staff resource allocation for multiple high-tech construction projects. Provide Navisworks technical mentorship and training as needed for BIM Coordinator contract staff, and perform Navisworks clash detection to support contract BIM Coordinator staff. Use additional BIM and Project Management tools (ACC, Procore, Revit, AutoCAD, etc.), monitor project progress related to BIM signoffs, and collaborate with Principal BIM Lead, support staff, and Micron sustaining Facilities counterparts to maintain Micron BIM/VDC requirements and workflows <p

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together, designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're hiring a Member of Technical Staff (Information Security Engineer) to secure the infrastructure and systems Hark runs on. You'll harden our AWS environments, own identity and access across the company, build detection and response, and lead incident response when things go wrong. We run model training, agent sandboxes, and hardware manufacturing pipelines, so the environment is broader and more interesting than a typical SaaS stack. This role is hands-on; you'll be building and operating, not managing or auditing. Responsibilities Harden cloud infrastructure across multiple AWS accounts (IAM, EKS, VPC and network access paths, KMS) and review IaC for misconfigurations. Own identity and access: SSO, least-privilege IAM, just-in-time access, secrets management, and access reviews. Build and maintain detection and alerting pipelines; lead triage, containment, and post-incident review. Secure the corporate environment: endpoint management, SaaS security posture, and zero-trust network access. Evaluate third-party vendors and integrations for security and privacy risk. Build the technical controls and evidence behind our compliance programs (SOC 2, GDPR) as automation, not spreadsheets. Requirements 4–8 years of hands-on security engineer

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for thoughtful problem-solvers and builders who want to make a meaningful contribution. Robinhood is a place where people take ownership of their work and help improve financial access for all. We operate with high standards, clear accountability, and a strong focus on security and ethics in everything we build! The Red Team’s mission is to identify and reduce real-world security risks across Robinhood by simulating adversary behavior and testing defenses. As a Staff Offensive Security Engineer, you will plan and execute security assessments across applications, infrastructure, and physical environments, and partner closely with engineering and security teams to strengthen detection and response capabilities. You will help prioritize risk, contribute to remediation efforts, and develop tools and techniques that improve how we test and secure our systems. Your work will directly support the safety and reliability of products used by millions of customers. This role is based in our Bellevue, WA, New York, NY, Denver, CO or Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evangelize the Offensive Security Team’s Findings and Projects with stakeholders throughout the company and collaborate with other teams to create solu

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. As Reddit’s advertising ecosystem rapidly expands, protecting our platform, advertisers, and users from bad actors is paramount. We are seeking a Staff Threat Analyst to serve as the operational architect for Advertiser Fraud within Safety. You will have end-to-end ownership to establish the strategy, build foundational detection playbooks, and define enforcement frameworks. You will work in tight partnership with cross-functional Product, Engineering, Data Science, and Ops teams across both Safety and Ads orgs to convert adversarial insights into scalable automated defenses. This is a 0-to-1 opportunity to shape our threat response frameworks, operational playbooks, and detection pipelines from scratch. Responsibilities: Strategy & System Architecture: Formulate and execute a multi-quarter vision for advertiser fraud detection and enforcement; independently prioritize high-impact risks like account takeover (ATO), payment/billing fraud, cloaking, deceptive ads and network abuse. Deep Analytics & Investigations: Conduct deep-dive investigations into complex, multi-entity fraud networks and sophisticated adversarial tactics. Drive root-cause analysis and map cluster infrastructure to p

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a special focus on Stripe’s security. Projects include, but are not limited to: Leverage internal telemetry and logs to understand and design secure and safe access controls to sensitive data; Develop methods to model, quantify, and ultimately de-risk security-related incidents on Stripe data, assets, and networks; Collaborate across the company with engineering, PMs, and others to better understand, measure, and ultimately detect various malicious attack vectors. You will act as a key strategic data partner to the Security organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe keeps and maintains the highest level of safety and security for critical business assets and customer data. What you'll do Responsibilities Provide senior technical direction to data teams on horizontal technical areas, including detection, modeling, metrics, observability, etc. Assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution. Identify broad company problems and opportunities that can be tackled through data science Work with relevant teams to design and build the quantitative outputs and artifacts that deliver outsized value to our users and our business. Provide data-driven guidance to cross-functional partners on strategy for tracking and p

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Reliability Engineer Overview JLL's Work Dynamics team is seeking a Reliability Engineer to support operations and maintenance of buildings, infrastructure, and equipment assets. Working in collaboration with the Engineering Services Reliability & Asset Management COE, this role implements strategic asset management plans integrating building automation, energy management, maintenance programs, and life-cycle asset management approaches. The position offers growth opportunities, potential to manage junior staff, and support toward globally recognized RAM qualifications. Essential Functions Asset Management Integrates data from BAS, fault detection diagnostics, maintenance programs, and capital planning to develop life-cycle analyses and repair-vs-replace recommendations. Executes site-level Asset Management & Reliability programs, conducts periodic equipment and system audits (safety, compliance, cost savings, energy conservation), and coordinates engineers, technicians, and third-party resources to deliver cost-effective improvements. Reliability Engineering Creates and manages PM task plans for continuous improvement and optimization. Ranks asset criticality using

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The Senior Engineer, Cybersecurity is a hands-on contributor who designs, builds, and operates security controls and services that protect The Times' systems, data, and users. As a member of the Security Architecture team, you will own complex initiatives end-to-end, drive measurable risk reduction, and collaborate across product engineering and enterprise technology with technical depth, operational rigor, and clear communication aligned with business outcomes. Who are we? Cybersecurity helps prevent The Times from becoming news. Our teams work to protect the news makers, their support staff, the platforms they rely on every day, as well as all of The Times' products and services, and our readers who consume them. This role reports to the Director of Engineering, Cybersecurity. Responsibilities: Create an environment that favors context, not control. Empower product engineers and ensure they have the relevant information and tools to deliver secure products and services. Design, implement, and operate security controls and services (e.g., identity and access management, secrets management, endpoint/agent hardening, network segmentation, detection, and response automation) that meet reliability, security, scalability, and observability standards. Partner with product and platform teams to integrate security into architecture and developer workflows while articulating business impact and tradeoff

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Engineering Manager , you’ll guide GitLab’s dedicated Software Supply Chain Security (SSCS) Add-On engineering team as it develops core capabilities including Dependency Firewall, Build Provenance, Malicious Packages detection, and Artifact Signing . This is a founding management role where you’ll help shape how the team works, partner closely with the Staff Backend Engineer, Product Manager, and SSCS stage management, and turn a defined roadmap into steady, high-quality delivery for enterprise customers with strict security and compliance needs. You’ll focus on developing the team, creating a healt

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Senior Staff Product Manager for Adversarial Actors, you'll own the end-to-end strategy for inauthentic behavior on Pinterest. This includes detection and enforcement for bots, account takeovers, and spam across the entire Pinterest funnel. You’ll partner closely with teams across Pinterest, including Policy, Operations, Engineering, and Data Science to protect Pinners, advertisers, and the business. What you'll do: Define and deliver Pinterest's company-wide adversarial strategy spanning pre-authentication, login/signup, and post-authentication surfaces — setting multi-year vision, aligning executive stakeholders, and driving coordinated investment across Policy, Ops, MLE, Integrity Analytics, Data Science, Security, and Identity. Develop and execute on the post-authentication roadmap, including measurement, detection s