Role Description As Research & Model Intelligence Lead, you'll take full ownership of the systems and science that power our edge — from model research and fine-tuning to inference optimization, evaluation frameworks, and the AI agent intelligence layer. You will be expected to lead a team that builds, evaluates, and deploys models that support our investment activities. This is a senior role with real leadership weight. You'll lead a team of ML engineers, NLP specialists, and quantitative researchers — setting research direction, running evaluation cycles end-to-end, and ensuring that model improvements translate to trading performance. You'll partner tightly with traders, strategists, and platform engineers. We're looking for an AI-native, agentic engineer-researcher: someone who instinctively uses LLMs and modern tooling to accelerate experimentation, evaluation, and iteration — and teaches their team to do the same. You create leverage through models, people, and rigorous evaluation. What You'll Do - Own the research and model intelligence domain - Take end-to-end ownership of the systems that generate, evaluate, and serve our trading intelligence — including fine-tuned LLMs, prompt engineering pipelines, NLP signal extraction, agent architectures, and evaluation infrastructure. - Lead and scale a team - Act as a true people leader: set research direction, coach performance, run planning, and create clarity across a team spanning ML engineering, NLP, quantitative research, and agent development. - Bridge research and production - Turn model improvements into deployed trading performance. Own the full pipeline from hypothesis through evaluation to production serving — keeping it fast, reliable, and measurable. - Partner with senior stakeholders - Work directly with trading strategists, execution engineers, and platform leads. Translate trading needs into research priorities and keep everyone aligned as strategies evolve. - Build with an AI-first mindset - Use LLMs and agentic workflows to accelerate research processes — including experiment design, evaluation automation, literature synthesis, and knowledge management. - Architect for inference quality and speed - Design model serving, evaluation, and agent orchestration systems that are observable, reproducible, and optimized for performance. Own tradeoffs between model capability and serving performance. - Set the standard - Define how the team designs experiments, evaluates results, reviews model performance, and ships to production — both scientifically and operationally. Qualifications - Strong people leader with experience running technical teams through real delivery - Systems thinker who understands the full lifecycle from research to production inference - Comfortable operating in ambiguity and bringing structure through experimentation - Strong project management instincts — able to sequence research bets and manage evaluation cycles - AI-native and scrappy — focused on leverage, automation, and modern tooling - Values rigor, measurable outcomes, and impact over complexity or consensus Requirements - Experience leading ML, NLP, or research teams shipping models in high-stakes or latency-sensitive environments - Ownership of evaluation and continuous monitoring systems for deployed models - Experience with LLM fine-tuning, prompt optimization, inference serving (quantization, multi-provider racing, GPU orchestration), or agent architectures - Strong applied ML or quantitative research background with a focus on production deployment - Curiosity, learning speed, and ownership mindset (financial markets experience not required) Nice to Have - Experience managing senior cross-functional stakeholders and driving alignment - Background in trading, finance, crypto, or similar domains with direct P&L impact - Familiarity with NLP for news or event-driven signal extraction - Ideally based within ±3 hours of EST Benefits - Base Salary + Benefits Package + Performance related bonus (TBD on %) Company Description Ant-tech is a reputable headhunter agency in France, specializing in providing high-quality recruitment services for companies across various industries. With a team of experienced professionals and an extensive network of partners, Ant-tech connects talented candidates with organizations in need, particularly in the technology, finance, and other sectors. Committed to delivering optimal recruitment solutions, Ant-tech focuses not only on finding the right talent but also ensuring long-term and sustainable growth for both candidates and partner companies.

Role Description The Intelligence Analyst Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. Interns are also invited to work out of the CrowdStrike office located closest to their remote location. The team you are applying to – the Applied Research Cell (ARC) — lives at the intersection between software engineering, malware analysis, and cyber threat intelligence connecting the two worlds of reverse engineering and forward engineering. To that extent we are working closely with different teams from the wider mission with the end-goal of tracking the most advanced threat actors and ultimately stopping breaches. ARC Interns will be assisted during the development of projects with well-defined deadlines. The goal is to approach the following topics: - Conducting and evaluating open source research on cyber threats. - Learning cyber security concepts and threat actor Tactics, Techniques and Procedures (TTPs). - Conducting research on predetermined malware families and learning about various triage techniques. - Developing tools and integrating them to high-scale malware processing pipelines. The internship will be scoped in a project to be completed during 12 weeks. Qualifications - Currently completing your penultimate year of University (2027 graduate) and be working towards a BA or BS / MA or MS degree in Computer Science, Computer Engineering, Math, Information Security, Information Assurance, Information Security Management, Intelligence Studies, Cybersecurity, Cybersecurity Policy, or a related field. - An eagerness to learn through hands-on experience and collaborative projects specific to your internship field. - Experience in malware research. - Experience with programming (Python, C or similar languages). Requirements - Although CrowdStrike is a primarily remote company, collaboration is intrinsic to the success of our mission. Therefore, the strongest applicants will be those who can communicate effectively and frequently, and work well with fellow interns and employees. Benefits - Market leader in compensation and equity awards. - Paid holidays (including birthday holidays) and 401k matching (where applicable). - Professional development opportunities including workshops, tech talks, and Executive Speaker Series. - Assigned mentors from across the company for continuous support and feedback. - Participation in companywide initiatives including FalconFIT, Wellness Programs, and Employee Assistance Program. - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections. - Vibrant office culture with world class amenities. - Ownership of impactful projects that move the company forward. - Great Place to Work Certified™ across the globe. Company Description CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Role Description Research for Prof. Jenny Davis’s AI lab studying people's perceptions of AI risks as those risks pertain to self, others, and society. - Contribution to data collection and analysis through independent studies in progress over the course of the last year. - Previous experience with Prof. Davis's AI lab required. Qualifications - Previous experience with Prof. Davis's AI lab. Requirements - Experience in data collection and analysis. - Understanding of AI risks and perceptions. Benefits - Opportunity to work in a prestigious academic environment. - Access to professional growth and learning opportunities. Company Description At Vanderbilt University, our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. - Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873. - Proud to have been named as one of “America’s Best Large Employers” and a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. - Equal-opportunity employer.

Role Description This position, under minimal supervision, is responsible for the research regulatory and administrative activities of clinical trials for the practice. Manages all regulatory processes and procedures. Independently prepares protocol documents that comply with regulatory and institutional requirements. Leads development and implementation of quality improvement measures. Ensures site research quality by practicing in compliance with US Oncology Research, Inc. (USOR) and Texas Oncology Research Standard Operating Procedures (SOP), principles of Good Clinical Practice (GCP) and applicable federal, state, and local regulations through OSHA, CDC and HIPAA. Supports and adheres to US Oncology Compliance Program, to include the Code of Ethics Business Standards. Responsibilities - Assists with Critical Document collection and maintenance to facilitate the timely opening of trials at the site and audit-readiness through the life of the study. - Communicates and collaborates with central operations to identify and resolve any regulatory issues. - Maintains Protocol Regulatory Documents in compliance with local Standard Operating Procedures. - Maintains Texas Oncology Research systems, including ensuring appropriate access to all staff and sponsor representatives and troubleshooting any issues. - Assists with local QA Initiatives. Leads development and implementation of quality improvement measures to assist Investigators with protocols and regulations. - Assists with preparation of Informed Consent Documents and regulatory packets (FDA1572, Financial Disclosures, etc.) for sponsor and IRB submissions. - Processes local and central Institutional Review Board submissions. - Monitors and reports SAEs to sponsor/IRB. - Facilitates collection of site training documents from study initiation visits as well as coordinates and collects ongoing amendment training documents. Qualifications - High School Diploma required. - Associate's degree in a clinical or scientific-related discipline preferred. - Minimum of one (1) year of experience in clinical research, regulatory affairs and/or an oncology related field required. - Experience in Microsoft Office. - Experience working with Sponsor Monitor representatives preferred. - Experience working in clinical research, regulatory affairs, and/or an oncology-related field is preferred. - Must have excellent communication skills, strong ability to multi-task, excellent time management skills. Working Conditions - Environment: Traditional outpatient clinic/office environment. - Exposure to communicable diseases, toxic substances, ionizing radiation, medical preparations and other conditions common to an oncology/hematology clinic environment. Physical Requirements - Large percent of time performing computer-based work is required. - Requires standing and walking for extensive periods of time. - Occasionally lifts and carries items weighing up to 40 lbs. - Requires corrected vision and hearing to normal range.