ai research scientist

Promptwatch

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 Data Scientist
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 <br/>
 Amsterdam
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 Full-time
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 Medior-Senior (4+ YOE)
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 &euro;60,000 - &euro;85,000
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 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
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 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
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 What You'll Do:
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 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
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 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
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 Make sense of large amounts of unstructured AI response text using embeddings and vector search
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 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
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 Develop reproducible analyses and pipelines that scale with our growing dataset
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 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
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 Validate data quality and define methodologies that customers can trust
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 What
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 We're Looking For:
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 4+ years experience in data science, analytics, or a quantitative research role
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 Strong proficiency in Python and SQL for data analysis
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 Solid foundation in statistics, experimentation, and ML fundamentals
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 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
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 Hands-on experience with vector search and embeddings
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 Ability to translate ambiguous questions into clear, measurable analyses
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 Strong communication skills to present findings to technical and non-technical audiences
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 Curious and excited about AI, search, and emerging buyer behavior
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 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
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 Nice to Have:
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 Experience with NLP or working with LLM outputs
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 Background in SEO, search, or marketing analytics
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 Experience building data visualizations or dashboards
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 Compensation
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 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
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 Perks: Great office location, team off-sites, company and team sports activities
</div>


Data Scientist

<p><strong>Job Title: Data Scientist - Generative AI</strong><br /><strong>Company: C5i</strong><br /><strong>Location: Bangalore, India</strong><br /><strong>Employment Type: Full-Time</strong></p><p><br /><strong>Job Overview</strong><br /><br />C5i, a leading pure-play AI and Analytics provider, is seeking a talented and innovative Data Scientist with a specialisation in Generative AI to join our dynamic team in Bangalore. At C5i, we combine the power of human perspective with cutting-edge AI technology to deliver trustworthy intelligence and drive business impact for some of the world’s largest enterprises. As a Data Scientist, you will be at the forefront of developing next-generation AI solutions, working with multifunctional teams to solve complex challenges for our Fortune 500 clients across Technology, Media, Pharma, CPG, and Banking sectors. This is an exciting opportunity to contribute to our proprietary, industry-recognised platforms and shape the future of AI-assisted decision-making.<br /><br /><strong>Responsibilities</strong><br /><br /> </p><ul><li>Design, develop, and deploy advanced Generative AI models, including Large Language Models (LLMs) and other deep learning architectures.</li><li>Conduct research and implement state-of-the-art algorithms and techniques in Natural Language Processing (NLP), computer vision, and machine learning.</li><li>Collaborate closely with business domain experts and technical teams to translate client requirements into robust, scalable AI solutions.</li><li>Process, cleanse, and analyse large-scale datasets to train, fine-tune, and validate sophisticated models.</li><li>Evaluate model performance, conduct rigorous testing, and iterate on solutions to ensure they meet the highest standards of accuracy and efficiency.</li><li>Contribute to the enhancement of C5i’s proprietary suite of AI products, solutions, and accelerators.</li><li>Stay abreast of the latest advancements and trends in the field of Generative AI and share knowledge with the wider team.</li></ul><p><strong>Qualifications</strong><br /><br /> </p><ul><li>Proven commercial experience as a Data Scientist or Machine Learning Engineer, with a strong focus on Generative AI.</li><li>In-depth understanding of deep learning frameworks, particularly transformers, GANs, and VAEs.</li><li>Hands-on proficiency with Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn.</li><li>Strong practical experience with machine learning frameworks like PyTorch, TensorFlow, and Hugging Face.</li><li>Demonstrable experience in developing and fine-tuning Large Language Models (LLMs).</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.</li><li>A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A PhD is advantageous.</li><li>Excellent analytical and problem-solving skills with a creative and innovative mindset.</li><li>Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.</li></ul><p><br /><strong>What We Offer</strong><br /> </p><ul><li>The opportunity to work on pioneering AI projects with globally recognised, market-leading clients.</li><li>A supportive and collaborative work culture that fosters continuous learning and professional development.</li><li>The chance to be part of an organisation consistently recognised by industry analysts like Gartner and Forrester for its exceptional AI and Analytics capabilities.</li></ul><p> </p>

Data Scientist - Gen AI

New York University Abu Dhabi

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
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 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
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 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
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 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
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 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
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 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
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 <strong>
  About NYU Abu Dhabi
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 </strong>
 https://nyuad.nyu.edu/en/
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 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
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 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
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 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
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 Working for NYUAD
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 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
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 Join NYU Abu Dhabi, an exceptional place for exceptional people.
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 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
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 <strong>
  Equal Employment Opportunity Statement
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 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
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 <strong>
  Sustainability Statement
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 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

Oracle

<div><p>The IC5 Applied Scientist for Robotics, Perception, and Embodied AI will serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product, and hardware teams to identify high-impact opportunities, translate ambiguous product needs into research and engineering roadmaps, and guide end-to-end solution development from data collection and experimentation through production deployment. The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning,
<br>
reinforcement learning, and action-conditioned planning, with a strong bias for hands-on execution and full-stack delivery.</p></div>
<br><div><h1 class="jobSectionHeader"><b>Key Responsibilities
</b></h1><h2 class="jobSectionHeader"><b>Solution Identification and Strategy
</b></h2><ul><li><p>Partner with science, engineering, product, and hardware leaders to identify strategic product needs where robotics, perception, and embodied AI can create measurable customer and business impact.
</p></li><li><p>Evaluate academic literature, industry benchmarks, robotics platforms, and commercially viable robot APIs to assess feasibility, technical difficulty, and delivery risks.
</p></li><li><p>Break down ambiguous robotics and AI problems into clear research plans, model architectures, data requirements, evaluation criteria, and production milestones.
</p></li><li><p>Set science quality standards for applied robotics workstreams, including perception accuracy, latency, robustness, safety, reliability, and operational feedback metrics.
</p></li><li><p>Prioritize solutions using the scientific process, including modeling approaches, evaluation techniques, data collection strategies, and risk/reward tradeoffs.
</p></li></ul><h2 class="jobSectionHeader"><b>Applied Research and Model Development
</b></h2><ul><li><p>Lead the design and execution of research programs and POCs for sensors, multi-sensor fusion, real-time signal processing, and perception systems.
</p></li><li><p>Develop and guide approaches for object detection, tracking, activity recognition, scene understanding, and related perception capabilities in real-world environments.
</p></li><li><p>Advance multimodal AI systems that combine signals such as camera, depth, lidar, audio, telemetry, proprioception, and task context.
</p></li><li><p>Apply reinforcement learning, action-conditioned planning, decision-making, and reasoning methods to enable robot behaviors that are robust, measurable, and product-relevant.
</p></li><li><p>Define dataset strategy, data quality criteria, labeling approaches, simulation or synthetic data opportunities, and evaluation protocols for robotics and embodied AI use cases.
</p></li><li><p>Guide model training, fine-tuning, optimization, inference design, and compute/latency tradeoffs for real-time or near-real-time deployment scenarios.
</p></li></ul><h2 class="jobSectionHeader"><b>Solution Delivery and Production Integration
</b></h2><ul><li><p>Lead full-stack execution across experimentation, data pipelines, model development, evaluation, deployment integration, and production monitoring.
</p></li><li><p>Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into robotic systems and services.
</p></li><li><p>Evaluate and review high-complexity code, establish best practices for repositories, version control, code review, documentation, testing, and delivery readiness.
</p></li><li><p>Define operational metrics and user feedback loops to assess delivered solutions in production and inform future technical strategy.
</p></li><li><p>Serve as an escalation point for complex robotics, AI, perception, and systems integration issues, driving root-cause analysis and durable solutions.
</p></li></ul><h2 class="jobSectionHeader"><b>Research Leadership and Influence
</b></h2><ul><li><p>Demonstrate thought leadership in at least one business-critical area such as robot perception, multimodal systems, sensor fusion, reinforcement learning, or embodied AI.
</p></li><li><p>Translate research insights into clear technical recommendations, patents, white papers, design documents, demos, or conference-quality publications where appropriate.
</p></li><li><p>Mentor and guide scientists and engineers, raising the bar for applied research rigor, experimentation quality, and production readiness.
</p></li><li><p>Establish productive collaborations with internal teams, external research groups, academic partners, or commercial robotics ecosystem partners where relevant.
</p></li></ul><h1 class="jobSectionHeader"><b>Core Competencies
</b></h1><ul><li><p>Bias for action with a strong hands-on orientation; able to move from ambiguous idea to prototype, evaluation, and production path quickly.
</p></li><li><p>Ability to execute full-stack AI workflows spanning data, experimentation, modeling, evaluation, APIs, deployment, and feedback loops.
</p></li><li><p>Strong cross-functional collaboration with hardware teams, software engineering, ML engineering, product, operations, and leadership stakeholders.
</p></li><li><p>Excellent judgment in balancing scientific rigor, product urgency, systems constraints, safety, reliability, and customer impact.
</p></li><li><p>Clear executive-level communication; able to explain complex robotics and AI tradeoffs to technical and non-technical audiences.
</p></li></ul><h1 class="jobSectionHeader"><b>Required Technical Expertise
</b></h1><ul><li><p>Deep experience in machine learning, artificial intelligence, computer vision, perception, robotics, sensor fusion, real-time signal processing, or a closely related field.
</p></li><li><p>Experience with perception capabilities such as object detection, tracking, activity recognition, scene understanding, localization, or state estimation.
</p></li><li><p>Experience designing multimodal AI systems that combine heterogeneous data sources and reason over context, actions, and temporal signals.
</p></li><li><p>Practical knowledge of reinforcement learning, planning, sequential decision-making, robotics control interfaces, or action-conditioned model behavior.
</p></li><li><p>Strong programming capability in applicable languages such as Python and/or C++, and experience with modern ML frameworks and production-oriented software practices.
</p></li><li><p>Familiarity with APIs, SDKs, or integration patterns from commercially viable robotics platforms.
</p></li></ul><h1 class="jobSectionHeader"><b>Minimum Qualifications
</b></h1><ul><li><p>15 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, signal processing, statistical modeling, data mining, or a related field; OR
</p></li><li><p>Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Physics, Robotics, Electrical Engineering, Mechanical Engineering, or related field and 11 years of relevant experience; OR
</p></li><li><p>Master's degree in one of the above or related fields and 9 years of relevant experience; OR
</p></li><li><p>Doctorate in one of the above or related fields and 7 years of relevant experience.
</p></li><li><p>7+ years of hands-on experience with Python, C++, PyTorch, and ROS for software development, machine learning, and robotics applications.
</p></li><li><p>Demonstrated technical leadership guiding teams and stakeholders toward strategic goals.
</p></li></ul><h1 class="jobSectionHeader"><b>Preferred Qualifications
</b></h1><ul><li><p>16 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, perception, signal processing, or related field; OR equivalent degree-based experience aligned to Oracle IC5 guidelines.
</p></li><li><p>2 years of leadership experience with or without direct reports, including technical direction, mentoring, project planning, or cross-functional execution.
</p></li><li><p>2 years of experience working with operating budgets and/or project financials, where applicable.
</p></li><li><p>5+ years of experience creating technical publications, patents, white papers, peer-reviewed conference or journal articles, or equivalent technical documentation.
</p></li><li><p>Demonstrated experience delivering robotics, embodied AI, perception, or multimodal systems from research concept into production or customer-facing environments.
</p></li><li><p>Hands-on experience with commercial robot platforms, robot SDKs/APIs, simulation environments, telemetry pipelines, and real-time deployment constraints.
</p></li></ul><h1 class="jobSectionHeader"><b>Success Profile
</b></h1><ul><li><p>Builds credibility as a senior applied science leader who can bridge research depth with pragmatic product delivery.
</p></li><li><p>Operates comfortably across sensors, models, APIs, hardware/software boundaries, and executive decision-making forums.
</p></li><li><p>Raises the bar for AI adoption in robotics by creating reusable patterns, evaluation standards, and scalable delivery practices.</p></li></ul></div><p></p>

Lead Principal Applied Scientist - Robotics

Booking.com

<div>Role Description:
<p>
At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.</p><p></p><p><b><br>
About the team:</b></p><p></p><p><br>
This opening is for the <b>Agentic Modeling Team</b> within the Data &amp; AI Marketplace department.</p><p></p><p><br>
The Agentic Modeling team is responsible for enabling mission teams across Booking.com to build, deploy, and continuously improve production-grade AI agents &mdash; without requiring deep AI expertise. We provide a modular, configuration-driven platform where teams compose reusable building blocks &mdash; tools, memory, context management, agent strategies, and system prompts &mdash; into custom agents tailored to their domains. Our SDK and tooling support the full agent lifecycle: building, evaluating, optimizing, publishing, and iterating on agents that power the Connected Trip experience.</p><p></p><p><br>
As a Senior Machine Learning Scientist, you will research, design, and develop the core AI capabilities that power our agentic platform &mdash; focusing on agent strategies, reasoning architectures, context management, memory systems, and multi-agent patterns. You will work at the intersection of LLM research and production systems, translating state-of-the-art techniques into reusable, scalable capabilities that teams across Booking.com can leverage through configuration.</p><p></p><p><b><br>
Key Job Responsibilities and Duties:</b></p><ul><li>
Research and develop advanced <b>agent strategies - </b>iterative planning, self-correction, multi-step reasoning, and conditional execution paths.</li><li>
Design and build <b>context management</b> and <b>memory systems</b> (session-level and long-term) that enable personalized, improving agent experiences.</li><li>
Research and implement <b>multi-agent patterns -</b> enabling specialized agents to collaborate, share context, and delegate sub-tasks.</li><li>
Help build systematic <b>experimentation and optimization</b> - model selection, strategy comparison, prompt engineering, and architecture decisions backed by quantitative analysis.</li><li>
Build reusable ML components that encode production best practices and are available to all teams through configuration.</li><li>
Collaborate closely with ML engineers to ensure research translates into production-grade capabilities with appropriate latency and reliability.</li><li>
Collaborate with cross-functional teams (product managers, mission teams, platform engineers) to translate business requirements into agent capabilities.</li></ul><p></p><p><b><br>
Qualifications &amp; Skills:</b></p><ul><li>
Advanced knowledge and experience in <b>NLP, LLM-based systems, and agentic AI architectures</b> - including tool use, reasoning, retrieval-augmented generation, and agent planning.</li><li>
Experience designing and building <b>production agentic or conversational AI systems</b> at scale.</li><li>
Experience with <b>LLM evaluation and optimization</b> - designing metrics and systematically improving model-based systems.</li><li>
Relevant work or academic experience (MSc + 6 years, or PhD + 4 years), applying Machine Learning to business problems.</li><li>
Masters degree, PhD or equivalent experience in a quantitative field (e.g., Computer Science, Artificial Intelligence, Mathematics, Physics, etc.).</li><li>
Experience designing and executing end-to-end R&amp;D plans. Preferably evidenced by peer-reviewed publications, patents, or open-source contributions.</li><li>
Strong working knowledge of Python and ML/AI frameworks. Experience with LLM APIs and retrieval systems.</li><li>
Experience collaborating cross-functionally in the development of ML-powered products.</li><li>
Excellent English communication skills, both written and verbal.</li><li>
Successfully driving technical and people-related initiatives while communicating with stakeholders at all levels.</li><li>
Leading by example, developing your team and motivating them to achieve their goals. Providing timely feedback and managing key performance indicators</li></ul><p><b>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></p><p></p><p><br>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</p><ul><li><p>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</p></li><li><p>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</p></li><li><p>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</p></li></ul><p></p><p><b><br>
Inclusion at Booking.com:</b></p><p></p><p><br>
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p></p><p><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</p><p></p><p><br>
Application Process:</p><p>
This section should provide:</p><ul><li><p>
Let&rsquo;s go places together: How we Hire</p></li><li><p>
This role does not come with relocation assistance.</p></li></ul><p></p><p><br>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p></div>

Senior Machine Learning Scientist - Marketplace

Thales

<div>Location: Reading, United Kingdom<p></p><p>
Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services.</p><p></p><p>
Are you an expert at the intersection of deep mathematics and modern AI? Do you want to pioneer the next generation of algorithmic software for contested electromagnetic environments (CEME)?</p><p></p><p>
We are seeking a <b>Hybrid Algorithm Researcher</b> to lead low-TRL research and development in Advanced Signal Processing (ASP) and Position, Navigation &amp; Timing (PNT).</p><p></p><p>
In this role, you won't choose between classical physics and machine learning&mdash;you will fuse them. We are looking for a pioneer to bridge the gap between white-box mathematical rigor and black-box AI adaptability to build solutions that are robust, explainable, and fast.</p><p></p><p><b>
</b><b> The Mission</b></p><ul><li><p><b>
Fuse Paradigms:</b> Apply Physics-Informed Machine Learning (PIML) and hybrid architectures to complex sensor modelling, data fusion, and target tracking.</p></li><li><p><b>
Defend the Spectrum:</b> Design algorithms engineered to survive and adapt in heavily jammed, spoofed, and contested electronic environments.</p></li><li><p><b>
Paper to Prototype:</b> Evaluate cutting-edge academic research, replicate novel techniques, and rapidly adapt traditional ASP/PNT algorithms for challenging, real-world data.</p></li><li><p><b>
Technical Leadership:</b> Act as a Project Design Authority (PDA), contribute to high-value R&amp;D bids, and mentor a high-innovation team of junior engineers.</p></li></ul><p></p><p><b>
</b><b>️ The Toolkit</b></p><ul><li><p><b>
The Sweet Spot:</b> Proven experience implementing hybrid algorithms (classical math + ML) for state estimation, anomaly detection, or information fusion.</p></li><li><p><b>
The Core Math:</b> Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design.</p></li><li><p><b>
The Frameworks:</b> Practical knowledge of EKF, UKF, Lie Group UKF, or Physics-Informed ML is highly advantageous.</p></li><li><p><b>
The Stack:</b> Fluency across C++, MATLAB/Mathematica, and Python.</p></li><li><p><b>
The Background:</b> Typically a Bachelors, Masters, or PhD in a relevant STEM discipline, paired with few years of recent experience in low-TRL ASP/PNT research.</p></li></ul><p></p><p><b>
</b><b> Why This Role?</b></p><p>
This is a high-visibility position where you will bridge the gap between breakthrough R&amp;D, consortia collaboration, and business development. You will shape the technical roadmap, mentor emerging talent, and drive innovation where classical engineering meets the future of AI.</p><p></p><p><b>
Benefits</b></p><ul><li><p>
Performance-related bonus</p></li><li><p>
Half day every Friday, usually finishing around 13:00</p></li><li><p>
28 days annual leave (plus bank holidays) with opportunity to buy up to 40 hours/year (pro rata)</p></li><li><p>
24 hours volunteering paid for</p></li><li><p>
Private healthcare</p></li><li><p>
Pension scheme</p></li><li><p>
Life cover</p></li><li><p>
24/7 Employee Assistance Program and access to mental wellbeing app</p></li><li><p>
Employee discount shopping schemes on major brands and retailers</p></li><li><p>
Gym membership discounts</p></li></ul><p></p><p><b>
Security Clearance Requirement</b></p><p>
Due to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires Security Clearance (SC). It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment.</p><p></p><p>
To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years&rsquo; residence in the UK over the last 5 years may be accepted, with additional overseas checks.</p><p></p><p>
Please visit the UKSV website for further guidance:</p><p>
https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/national-security-vetting-clearance-levels.</p><p></p><p>
#LI-DB1</p><p>
At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here.</p><p></p><p><br>
We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here.</p><p></p><p><br>
If this role isn&rsquo;t quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here.</p><p></p><p>
Join Thales in the UK &ndash; Innovate with us and shape the future!</p></div>

Hybrid Algorithm Lead Researcher

Sandia National Laboratories

<div><div><div><h2 class="jobSectionHeader"><b>About Sandia</b></h2><div><br>
<div><div>
</div><p>Sandia National Laboratories is the nation&rsquo;s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:</p><ul>
<li>Challenging work with amazing impact that contributes to security, peace, and freedom worldwide</li>
<li>Extraordinary co-workers</li>
<li>Some of the best tools, equipment, and research facilities in the world</li>
<li>Career advancement and enrichment opportunities</li>
<li>Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)</li>
<li>Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*</li></ul><p>
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov</p><div><ul><li><br>
These benefits vary by job classification.</li></ul></div>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
What Your Job Will Be Like</b></h2><div><br>
<div><div>
</div><p>We are seeking motivated postdoctoral candidates to advance the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications.</p><p>
A strong background in theory (e.g., mathematics, theoretical neuroscience, computer science) is a necessity. Experience with artificial intelligence models or neural-inspired computing is strongly preferred.</p><p>
On any given day, you may be called on to:</p><ul><li>
Develop and extend neural-inspired artificial intelligence algorithms;</li><li>
Research theoretical principles and foundations necessary for model interpretability and introspection;</li><li>
Program and test algorithms on neuromorphic and AI accelerator hardware;</li><li>
Apply existing state-of-the-art methods and algorithms to domain data;</li><li>
Engage with the community for conferences, workshops, proposals, and outreach;</li><li>
Develop and support open-source research software packages;</li><li>
Publish research results in high-quality journals and competitive conference venues.<br>
<br>
Due to the nature of the work, the selected applicant will be required to work onsite. Relocation provided for those who qualify.<br>
</li></ul>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications We Require</b></h2>
<div>
<div></div><div><ul><li>PhD in computer science, mathematics, theoretical neuroscience, physics, or a relevant field conferred within 5 years prior to start date.</li><li>
Experience with theoretical or practical aspects of either neuromorphic algorithms or artificial intelligence.</li><li>
Experience in a common programming language such as Python or C++.</li><li>
Ability to obtain and maintain a DOE Q clearance.</li></ul>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications We Desire</b></h2>
<div>
<div></div><div><ul><li>Interest in developing neural-inspired and cutting-edge artificial intelligence algorithms (e.g., spiking neural networks, Bayesian neural networks, RNNs, LLMs) or in the deployment of such algorithms.</li><li>
Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators.</li><li>
Experience with neural network modeling languages (PyTorch,Tensorflow, Keras, etc.) or neural modeling languages.</li><li>
Prior peer-reviewed research publications.</li><li>
Demonstrated ability to work with others and contributed in a team environment.</li><li>
Desire to work as part of a collaborative, multi-disciplinary team.</li><li>
Willingness to be flexible in assignments and develop expertise in different areas of neuromorphic computing.</li></ul>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>About Our Team</b></h2><div><br>
<div><div>
</div><p>The department of Cognitive &amp; Emerging Computing (Org. 01421) pursues foundational research and development of:</p><ul><li>
emerging general-purpose energy-efficient and beyond-Moore computing paradigms;</li><li>
cognitive, brain-inspired and neuromorphic computing, human-machine interface technologies;</li><li>
advanced heterogenous architectures based on integrated commodity components, special purpose accelerators, neural architectures and algorithms.</li></ul>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Posting Duration</b></h2><div><br>
<div><div>
</div><p>This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Security Clearance</b></h2><div><br>
<div><div>
</div><p>Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.</p><p>
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
EEO</b></h2><div><br>
<div><div>
</div><p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
NNSA Requirements for MedPEDs</b></h2><div><br>
<div><div>
</div><p>If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.</p><p>
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Position Information</b></h2><div><br>
<div><div>
</div><p>This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.</p><p>
Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.</p></div></div></div></div></div>

Postdoctoral Appointee: Neural Networks, Onsite

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