Detection And Response Jobs

Become a part of our caring community Lead Enterprise Architect, Enterprise API and Integration is an important role in leading the technology transformation efforts focused on defining the architecture, standards and governance for API development across the enterprise. Job Description The Lead Enterprise Architect will establish and govern a comprehensive enterprise API ecosystem by bringing together API providers and consumers through a unified, business-aligned API catalog. This role ensures effective lifecycle management, promotes reuse, and drives consistency across all enterprise integrations while enabling AI-driven and agentic capabilities. Key Responsibilities Define, evolve, and promote enterprise API architecture, design patterns, and standards, including transition and target-state architectures. Lead enterprise-wide API governance, including intake, design review, lifecycle management, and compliance enforcement. Partner with architecture, engineering, security, data, and business teams to drive adoption of API standards and reusable integration patterns. Build and scale enterprise API platforms enabling federated development, developer self-service, and catalog-driven discovery. Develop AI-enabled governance capabilities, including automation, AI-ready API design, and gap detection across the API lifecycle. Define and implement reference architectures for modern integration patterns, including: Event-driven architectures Microservices integration LLM integration, RAG, and vector data platforms Architect and operationaliz

POSITION SUMMARY: We are looking for a highly motivated Senior Research Associate with a strong focus on process optimization and improvements to join the Molecular Biology product development team, joining a group of scientists who are tasked with developing and advancing Natera’s oncology product portfolio. The Senior Research Associate performs research and/or development tasks in collaboration with others. Makes detailed observations, analyzes data, and interprets results. Investigates creates and develops new methods and technologies for project advancement. Maintains a high level of professional expertise through familiarity with scientific literature. PRIMARY RESPONSIBILITIES: Design, plan, and perform experiments geared towards the development of non-invasive prenatal tests and cancer detection tests. Autonomously and accurately plan and execute complex laboratory experiments Analyze data using advanced analytical tools Keep a detailed laboratory notebook; write protocols and experimental plans, and document results and scientific interpretations Contribute insight toward experimental findings and troubleshoot laboratory processes and protocols Communicate and discuss results with a multidisciplinary team including biologists, bioinformaticians, statisticians, software engineers, and managers Summarize work in research reports and laboratory meeting presentations Learn and understand the science behind ongoing research projects while simultaneously completing increasingly complex tasks. This role will have occasional access to PHI both in paper and electronic form and have occasional access to various technologies to access PHI (paper and electronic) in order to perform the job. The employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire. Must maintain a current st

Mechanical Systems Design & Analysis Engineer (Experienced or Senior) Company: The Boeing Company Boeing Commercial Airplanes is seeking a Mechanical Systems Design and Analysis Engineer (Experienced or Senior) to join our 787 Environmental Control Systems (ECS) Engineering team located in North Charleston, South Carolina . The Mechanical Systems Design and Analysis Engineer will support the development of one of the following sub-teams within Environmental Controls Systems (ECS): Cabin Air Conditioning, Liquid Cooling, Air Distribution, Cabin Pressure Control, Fire Protection and Smoke Detection, Ice and Rain Protection, Air Quality, and Electrical. This role will be primarily focused on component/systems equipment management, where daily tasks will be interfacing with a component supplier and various Boeing support groups. Other responsibilities are updating analysis models, tool sets, supporting changes to design, addressing obsolescence, developing product improvements, supporting production build and test, new customer introduction, and in-service fleet projects. The Mechanical Systems Design and Analysis Engineer candidate should have some experiences comparable to the following key skills: establish hand-calculations to spot-check computational analysis, develop test procedures and systems/components interface requirements. In addition, the candidate should have experience in clear communication skills for reporting progress to a wide audience, the ability to develop a set of project goals and objectives, developing a project schedule and on time execution. Furthermore, they should have technical knowledge in an area comparable to: system controls, mechanical systems, systems modeling, heat transfer, thermodynamics, fluid dynamics,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. You'll work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams. Together, you'll design and build ML solutions that have direct, meaningful impact on user trust, business success, and the global Airbnb community. The Difference You Will Make: As a Senior Machine Learning Engineer on the Trust team, you will actively contribute code and ideas that shape the ML systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end — from designing and training models to productionizing and operating them at scale, while collaborating closely with cross-functional partners. You'll tackle real-world challenges such as account takeover, fake accounts, payment fraud, and bot detection. Your work

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Clinical Data Manager (CDM) is an independent role responsible for supporting the study team and developing comprehensive study documentation, designing database specifications, and overseeing validation, maintenance/data cleaning, and closeout activities for clinical trial databases. The CDM is recognized as the platform expert, leveraging cutting-edge tools and technologies to provide continuous data insights and ensure the timely delivery of high-quality results for Sponsors. The CDM has a strong foundation in clinical data management, combined with the agility to adapt as processes evolve towards the integration of clinical data science. KEY TASKS & RESPONSIBILITIES Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data Monitor and interpret key performance indicators (KPIs), metrics, dash

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary As a Metrology & Real-Time Defect Analysis (MRDA) Technician, you will support semiconductor process monitoring and defect detection activities using advanced inspection and measurement technologies. You will help ensure product quality by collecting, monitoring, and analyzing measurement data that supports engineering decisions and manufacturing excellence. Main Responsibilities Operate metrology and inspection equipment. Perform measurements according to established procedures. Monitor tool health and measurement performance. Collect and organize inspection and defect data. Support engineers in defect investigations and root cause analysis activities. Perform basic equipment troubleshooting and recovery activities. Support preventive maintenance and tool monitoring programs. Ensure compliance with operational and quality procedures. Other & AI Responsibilities Utilize AI-assisted and data analytics tools to improve data analysis efficiency. Support defect reduction and process optimization initiatives. Candidate Profile / Job Requirements Minimum Qualifications / Requirements Nitec,

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study tr

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. Join Micron Technology at a defining moment in our history. We are seeking a hands-on, results-driven Full-Stack AI Engineer to design, build, and deploy production-grade AI applications across our worldwide fab and assembly/test plants. Reporting in Industrial and Physical AI director, you will own AI products end to end -- from data pipelines and model training to web/mobile front-ends, APIs, and on-prem or edge deployment -- shipping the tools that put AI into the hands of fab engineers, operators, and leadership across this global program. Job Responsibilities Design, build, and ship full-stack AI applications for Micron's Autonomous Operations, including: - Design and build end-to-end AI products: data ingestion, feature pipelines, model training/inference, APIs, web UI, and observability Develop responsive front-ends in React, Angular or Streamlit, backed by Python/FastAPI, with strong type-safety and test coverage Integrate LLMs and agentic into production workflows for fab engineers Integration of robotics platforms, AMRs, tool automation, and control systems with smart manufacturing applications and the Micron MES ecosystem Containerize services (Docker), deploy via Kubernetes / OpenShift, and automate releases with CI/CD (GitHub Actions) Instrument production AI with monitoring, drift detection, evals, and feedback loops; treat MLOps as a first-class engineering concern Apply Responsible AI practices: input validation, prompt-injection defense

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies wi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall Maintain high accuracy and consisten

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coord

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a Senior Software Engineer, Collision Avoidance Testing, you will work closely with the onboard autonomy, evaluation infrastructure, data science, operations, and simulation teams to evaluate the performance of the autonomous vehicle in collision avoidance scenarios. You will be responsible for identifying gaps in onroad and simulation tests, designing appropriate tests to fill those gaps, reviewing test outcomes, and iterating on test design. You will analyse the results, recommend product changes, and report on residual risk both to leadership and in the safety case. About the Work Using human benchmarks from naturalistic data, develop statistical models that drive strategic decisions as a function of test volume, system performance, and confidence level. Identify and design realistic scenarios to drive test coverage of collision avoidance scenarios and collision detection scenarios using replay simulations of logs an

Data Engineer III itD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts. Location: Remote (US). Pay Rate: $48.60/hr Depends on Experience Duration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Design and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically. Define and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree. Build and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data. Build automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change. Build and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus l

P-1489 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale. You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection. Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key Responsibilities Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering. Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes. Leverage