Field Security Specialist Jobs

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry. Requirements: PhD or PhD candidate in machine learning, computer science, statistics, or a related field Experience with sequential modeling and time

A Career with Point72’s Foundation and Community Team The Steven & Alexandra Cohen Foundation is a nonprofit organization committed to inspiring philanthropy and community service, leading by example to show the world what giving can do. Working closely with the Foundation, the Office of Inclusion & Community is the engine that drives the philanthropic culture and strong sense of community among the employees of Point72, a global asset management company. What you'll do Manage the day‑to‑day accounting operations for a portfolio of private foundations and corporate community programs, including financial reporting, audit coordination, tax support, and account reconciliations. Lead the month‑end and year‑end close processes across multiple private foundations, including preparation and posting of accruals and other journal entries. Oversee fundraising and donation receivables, including tracking, recording, and reconciling related activity to ensure completeness and accuracy. Perform monthly financial reviews and reporting to validate the integrity of financial information and proper coding across entities. Prepare and review account reconciliations on a recurring basis to ensure accuracy across multiple legal entities. Support state and federal tax reporting requirements, partnering with external tax preparers as needed. Coordinate and support the annual audit process, including preparation of schedules, responding to auditor inquiries, and addressing follow‑up items. Assist with banking relationships and ongoing cash management activities. What's required Bachelor’s degree in accounting, finance, or a related field as well as a master’s degree in accounting and/or CPA licensure Minimum of 5 years of accounting experience with exposure to nonprofit or private foundation accounting Demonstrated knowledge of GAAP, month-end close processes, and accrual accounting Experience supporting external audits and preparing tax filings, including Form 990-PF, Form 990-T

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: The Senior Director, Enterprise Sales will be responsible for cultivating high-value partnerships with pharmaceutical companies by integrating DeepIntent’s technology, data, and audience solutions into their commercial operations, marketing technology stacks, and customer engagement strategies. The Sr Director, Enterprise Sales has a deep understanding of how pharmaceutical companies leverage data, technology, and media to drive commercial success and a strong track record of developing JBPs that increase long-term revenue and integration depth. This role will work cross-functionally within pharmaceutical organizations, engaging with key teams responsible for: Marketing and Commercial Strategy – Driving digital transformation, omnichannel marketing execution, and audience engagement to optimize HCP and patient outreach. Sales and Commercial Operations – Overseeing field force effectiveness, sales enablement, and data-driven decision-making to improve brand performance and customer engagement. Data & Information Management – Managing commercial and real-world data strategy, including customer insights, identity resolution, and integration of external data sources into pharma’s analytics ecosystem. Customer Experience and Digital Intelligence – Optimizing the use of technology to create personalized, data-driven experiences that enhance engagement with healthcare professionals and patients. Technology and Innovation –

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

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. As a Senior HBM Customer Systems Validation Engineer at Micron Technology, Inc., you will: Be responsible for system-level validation, failure analysis, characterization, and experimentation of customer systems Run and configure diagnostic software, design experiments, analyze and interpret data, creating custom tools (Hardware and Software), presenting data to customers both inside and outside Micron Provide technical customer integration support at customer locations. To accomplish these responsibilities, you will use a variety of equipment (oscilloscopes, logic analyzers, signal generators, multi-meters, etc.) Work with customers and memory enablers like GPU manufacturers to attain design wins and qualifications of Micron memory products in their applications You will work with other engineers within the HBM team, Product Engineering, FAE, Quality Assurance, and business unit teams Debug Micron Product Customer Failures Provide technical support to customers and the field sales Utilize diagnostics to reproduce the original failure Identify failure mechanism Collaborate with Product Engineering and Return Material Authorization (RMA) </l

Our Strategic Account Executives target and close new business with Datadog’s largest, most strategic customers and prospects. In this role you’ll be focused on uncovering the pain points organizations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field selling within mid-market and enterprise) Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune 1000 companies with the ability to win new logos Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs Datadog valu

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. As the Global Facilities Regional Engineering Electrical Engineer you will be responsible for providing technical support, expertise, and lead business process alignment on construction project design, management, schedule, cost control, testing & commissioning, operational and maintenance programs for the facility Electrical systems at all manufacturing sites in your location / region. As a global team member residing in your current site/geography, you will represent all facility design standard alignment, construction project management, O&M BKM alignment initiatives. You will also support the Global Facilities Central Engineering Team, Construction Team , Line Planning Team and O&M Team in providing critical design standard alignment, supplier quality improvement, operational and maintenance input and support construction projects. Critical metrics include construction project management, schedule, cost control, safety index, and facilities system reliability improvement program in eliminating production events that minimize lost moves and scrap. Responsibilities and tasks: Project Design and construction of regional green field project with alignment to global standards and collaboration with central sustainability

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: The Micron F10 Construction Senior Manager is responsible for the construction of Micron Singapore’s manufacturing and cleanroom projects. This person will work with a team of specialized third party builders and engineers in a highly collaborative environment. This job will require this person to work together with our factory, operations, and supply chain partners to deliver some of the most technically challenging projects in the world with demanding schedule and cost constraints. The Construction Senior Manager provide project leadership for design execution of the build plan. The manager will work closely with the Design Senior Manager to ensure development of more detailed scope through field walks and collaboration with facilities operations partners and project engineers. During detailed design and construction performed by the general contractor, the Construction Senior Manager serve as the Owner's representative to provide input on buildability and sequence of construction. As a Construction Senior Manager - your responsibilities will include but are not limited to: Responsible for the supervision of all construction for all Micron’s Singapore major manufacturing and cleanroom projects. Provide project leadership for construc

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. Manages production support engineering for a specific product or group of products after transfer from design to high volume production. Interfaces with design, process, test and reliability engineering to solve problems. Sustains products with cost reduction and yield improvements. 其他職務說明 As the member of HIG HBM Package PE, you will lead and develop a high-performing team to driving Package PE activities within the HBM Systems and Product Engineering Team. You will lead a Global team of professional Product Engineers leading a portfolio of Best-In-Class Next Generation HBM Product focused on the critical KPI’s Quality, Cost, Cycle Time and Scale. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. Key Responsibilities Accountable for improving assembly related coverage within the manufacturing flows to improve the Time 0 and Field DPM and reduce/prevent inline fallout within the assembly process. Accountable for driving down the HBM Cube on Wafer Assembly Yield Loss which is seen as part of the Manufacturing Line Yield Pareto through optimized test coverage and collaborating with the Technology Development and Packaging organizations. Driving Cumulative Yield Ownership wit

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. Positions, PnL, and hedging all run through our Mid-Office team. When the numbers our traders and risk team rely on are wrong, this is where it gets found and fixed. The role We're looking for a Software Engineer to join our Mid-Office team in this role, you'll own the systems that keep positions, PnL, and hedging correct across every venue we trade. You build and run the platform, and you're the one who notices when a number looks wrong and follows it until you know why. You will: Own the books. Maintain and evolve our position, trade, and PnL systems so they stay accurate across every venue. Do the quant work. Build and refine our hedging, Greeks, margin models, and early exercise premium calculations. Surface the risk. Build the risk views and calculations that show traders and the risk team what exposure we're carrying. Support the desk. Work side by side with traders and researchers, making sure the data they rely on is correct and available. Deliver reporting. Provide the data that internal stakeholders and regulators require, PnL breakdowns, trade surveillance, treasury accounting, and compliance. Own it in production. Spot discrepancies in live data, trace the root cause, and maintain what you ship. What we're looking for An engineer at heart with a strong quantitative background. Real enthusiasm for the engineering work. A relevant educational background, ideally in a quantitative field such as Mathematics, Econometrics or Computer Science. Professional work experience with Python, Grafana and PostgreSQL. Strong Debugging skills. You can trace problems to their source even in unfamiliar systems A critical mind that follows things until completion, high ownership, and clear communication in English Nice to have Experience in finance (ideally trading), on the systems behind positions, PnL, risk, a

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. We are the DRAM Technology Development team at Micron, pushing the limits of memory scaling and performance. Our work spans cutting-edge lithography and tight collaboration across integration, etch, deposition, and CMP to bring new nodes to life. If you enjoy solving complex patterning challenges on advanced tools including EUV we’d love to have you! In this role, you will lead photolithography process development for next-generation DRAM. You’ll own process modules, drive roadmap decisions, and translate concept to manufacturable solutions on pilot lines and into high-volume fabs. This is a hands-on, high-impact position working closely with cross-functional teams and equipment/material partners! Responsibilities: Develop and optimize photo processes to meet device physical and electrical requirements while reducing cost and variability Lead a lithography module; create manufacturing-friendly solutions across 365nm, 248nm, 193i, and EUV Partner with integration and unit process teams; drive vendor engagement for new materials and equipment solutions Analyze failures and process limits; perform root cause and DOE-based improvements Document plans, results, and drive transfer to production fabs Minimum Qualifications: Bachelor’s degree in engineering, physics, or related field and 7&#43; years of semiconductor experience, or MS/PhD with 6&#43; years in photolithography Deep knowledge of imaging