senior materials scientist

Microsoft

<div><b>Overview</b><p><br>
Copilot Discover helps hundreds of millions of people be informed, entertained, and inspired by surfacing highly relevant, trustworthy, and delightful content across Microsoft surfaces. We&rsquo;re building the next generation of AI‑powered quality understanding and recommendation systems&mdash;spanning text, images, audio, and video&mdash;to curate the right content at the right moment while upholding safety and integrity.</p><p>
As a<b> Senior Applied Scientist</b>, you&rsquo;ll lead the science behind Discover&rsquo;s ranking and content‑quality stack, combining LLMs, multimodal models, and large‑scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high‑caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end‑to‑end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><p>
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p><b><br>
Responsibilities</b><br>
<ul><li>
Lead content‑quality understanding at scale. Design and deploy models that assess credibility, usefulness, freshness, safety, and diversity across modalities; reduce misinformation/toxicity error rates through prompt‑ and model‑level innovations; build human‑in‑the‑loop and active‑learning pipelines that get better over time.</li><li>
Champion safety &amp; trust. Partner with policy and platform teams to encode safety standards and editorial principles into the ML system; create red‑teaming, adversarial, and safeguard layers for generative and curated experiences.</li><li>
Scale E2E ML systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of Discover&rsquo;s AI platform.</li><li>
Own evaluation and experimentation. Define offline metrics (e.g., Rejection Rate, ERR, Defect Rate) and online methodologies (A/B tests, interleaving, counterfactual &amp; bandit approaches) to confidently attribute business impact and guard against regressions.</li><li>
Mentor &amp; influence. Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge‑sharing; uplevel peers through design reviews, deep‑dives, and principled decision‑</li><li>
Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field &amp; related experience (e.g., statistics predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
Experience working with natural language understanding.</li><li>
Experience in Python and at least one major deep learning framework (PyTorch/TensorFlow) with large‑scale data processing and training.</li><li>
Experience with evaluation &amp; experimentation (offline metrics, A/B testing, bandits) and ML model development lifecycle.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
Have publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).</li><li>
Expertise with LLMs (prompting, RAG, Parameter-Efficient Fine-Tuning), multimodal modeling, and retrieval‑augmented recommendation; familiarity with counterfactual learning and multi‑objective optimization.</li><li>
Experience building content integrity/safety systems (e.g., misinformation, harmful content, low‑quality/duplicate detection) and quality‑aware ranking.</li><li>
Demonstrated ability to lead cross‑disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped business impact; mentoring scientists and setting technical vision.</li><li>
Familiarity with Microsoft stack (e.g., Azure ML, Kusto, Synapse, Azure AI Foundry).</li></ul><p><br>
#MicrosoftAI</p><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Snr Applied Scientist

HanmiGlobal Saudi

<div><p>HanmiGlobal Saudi is looking for an experienced <b>Senior QA/QC (Senior Materials Engineer)</b> to join our team. In this role, you will be responsible for overseeing the quality assurance and quality control processes for all materials used in construction projects. Your expertise will ensure that all materials meet industry standards and project specifications, contributing significantly to the overall success of our projects. The Senior QA/QC will develop and implement quality control plans, conduct site inspections, and collaborate with project teams to address any materials-related issues promptly.</p><b>
Key Responsibilities</b><ul><li>
Develop and implement QA/QC policies and procedures specific to materials engineering.</li><li>
Review and approve material submittals from contractors to ensure compliance with specifications.</li><li>
Conduct inspections and testing of materials, both in the laboratory and on-site, to verify quality and compliance.</li><li>
Monitor and report on the quality performance of subcontractors and suppliers.</li><li>
Identify discrepancies, non-conformances, and corrective actions, and ensure they are properly addressed.</li><li>
Prepare and maintain comprehensive documentation and reports for quality control activities.</li><li>
Collaborate with project teams to develop solutions for quality-related challenges and support continuous improvement.</li><li>
Stay updated on the latest industry standards and best practices in materials engineering and quality assurance.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor's degree in Materials Engineering, Civil Engineering, or a related field.</li><li>
Minimum 10 years of relevant experience in QA/QC and materials engineering within the construction industry.</li><li>
Strong knowledge of material testing methods and industry standards.</li><li>
Experience with quality management systems and ISO standards.</li><li>
Excellent analytical and problem-solving skills.</li><li>
Effective communication and leadership skills to work with cross-functional teams.</li><li>
Certification in QA/QC (such as ASQ or equivalent) is a plus.</li></ul></div>

Senior QA/QC (Sr. Materials Eng)

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
The Senior Material Engineer is responsible for managing and controlling the quality, testing, and approval of construction materials used in civil engineering projects. The role ensures that all materials meet project specifications, industry standards, and contractual requirements while providing expert support to construction and QA/QC teams to achieve high-quality and durable project outcomes.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Review, evaluate, and approve construction materials, mix designs, and material submittals.</li><li>
Supervise laboratory and field testing of soil, aggregates, concrete, asphalt, bitumen, and related materials.</li><li>
Ensure compliance with project specifications, drawings, and applicable standards (ASTM, BS, IRC, MORTH, AASHTO, etc.).</li><li>
Monitor and implement material quality control and quality assurance (QA/QC) processes.</li><li>
Analyze test results, identify non-conformities, and recommend corrective actions.</li><li>
Provide technical guidance to site teams on material-related issues and performance.</li><li>
Oversee calibration, operation, and maintenance of laboratory and testing equipment.</li><li>
Prepare and review material approval logs, test reports, and quality documentation.</li><li>
Coordinate with clients, consultants, QA/QC, and construction teams on material matters.</li><li>
Supervise and mentor material engineers, inspectors, and laboratory personnel.</li><li>
Ensure adherence to health, safety, and environmental requirements related to materials testing.</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
Bachelor's degree in Civil Engineering, Materials Engineering, or related discipline. <b>UPDA Grade A Registration required.</b></li><li>
Minimum 15 years of relevant experience in construction material engineering.</li><li>
Strong knowledge of concrete technology, asphalt, soil mechanics, and pavement materials.</li><li>
Proven experience in field and laboratory material testing and inspections.</li><li>
Thorough understanding of QA/QC systems and construction material standards.</li><li>
Ability to interpret specifications, drawings, codes, and test results effectively.</li><li>
Experience in infrastructure, road/highway, or large civil construction projects preferred.</li><li>
Strong analytical, reporting, and documentation skills.</li><li>
Good communication and coordination abilities.</li><li>
Leadership experience in managing teams and site-based activities.</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

Sr. Materials Engineer

Hays

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  <strong>
   Financial Services
  </strong>
 </p>
 <p>
  <strong>
   Dubai, United Arab Emirates
  </strong>
 </p>
 <p>
  <strong>
   Permanent position
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 </p>
 <p>
  <br/>
 </p>
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  <strong>
   Asset class
  </strong>
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  Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   Experience needed
  </strong>
 </p>
 <ul>
  <li>
   Python expertise
  </li>
  <li>
   ML proficiency
  </li>
  <li>
   Develop and maintain quantitative models for asset allocation
  </li>
  <li>
   Design and deploy LLM‑powered tools
  </li>
  <li>
   Familiarity with portfolio construction frameworks and allocation strategies
  </li>
  <li>
   Deep understanding of quantitative finance and financial datasets
  </li>
  <li>
   Implement AI models for quant research and investment workflows
  </li>
  <li>
   Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
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 <ul>
  <li>
   PhD in Com Sci or relevant STEM
  </li>
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  <br/>
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  Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
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  <br/>
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  **Due to the high number of applicants, only applicants with the above skillset will be contacted**
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</div>


Senior Data Scientist

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

SAIC

<div><p>Job ID: 2612311</p><p><b>
Location: </b>Upper Marlboro, MD, US</p><p><b>
Date Posted: </b>2026-05-07</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>Yes - 10% of the time</p><p><b>
Minimum Clearance Required: </b>None</p><p><b>
Clearance Level Must Be Able to Obtain: </b>Public Trust</p><p><b>
Potential for Remote Work: </b>ORA_HYBRID</p><p><b><br>
Description</b>
</p><p>SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state-of-the-art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases. The IDSL has a cutting-edge infrastructure consisting of both on-prem distributed computing clusters and cloud based analytic environments, which we use for gathering and processing multi-modal data in real-time from large-scale experiments conducted at our test facility (Maryland Test Facility; http://mdtf.org), in field locations, as well as from external data sources.</p><p><b>
Hybrid - 3 Days in Office / 2 Days Remote</b></p><p><b>
What You Will Be Doing:</b></p><ul><li>
Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines</li><li>
Access available infrastructure, and to develop analytic products tailored to mission user requirements</li><li>
Work with senior team members to organize, clean, migrate and process datasets with advanced computer vision algorithms</li><li>
Testing different LLMs</li></ul>
<p></p><p><b>Qualifications</b>
</p><p><b>Requirements:</b></p><ul><li>
A bachelor&rsquo;s degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026</li><li>
Ability to obtain and maintain a public trust requiring US Citizenship</li><li>
Proficient in programming a must (Python, C++, Golang, Java, etc.)</li><li>
Ability to build out data pipelines as this will be the main function of role</li><li>
Desire to learn GoLang</li><li>
Familiar with machine learning, data mining, and/or statistics (R, Python, etc.)</li><li>
Familiar with source control (e.g., Git)</li><li>
Familiar with common data formats (JSON, Parquet, XML, etc.)</li><li>
Familiar with database technologies (SQL, NoSQL)</li><li>
Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audience</li></ul><p><b>
Desired Skills:</b></p><ul><li>
Prior experience related to data engineering, data science, data architecture, and databases</li><li>
Understanding of scaling and performance of distributed/cloud systems (AWS)</li><li>
Understanding of data science concepts, AI/ML, automation, and scripting</li><li>
Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.)</li></ul><br>
<p></p>
<p></p>Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Data Scientist Associate

McCormick & Company

<div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Packaging Materials Laboratory Scientist I
</b></h1></div></div></div></div><div><div><div><div>HUNT VALLEY, MD, US, 21031
</div></div></div></div><div></div><div><div><div><div><p>You may know McCormick as a leader in herbs, spices, seasonings, and condiments &ndash; and we&rsquo;re only getting started. At McCormick, we&rsquo;re always looking for new people to bring their unique flavor to our team.</p>
<p>
McCormick employees &ndash; all 14,000 of us across the world &ndash; are what makes this company a great place to work.</p><br>
<p></p>
<p>
We are looking to hire a <b>Packaging Lab Scientist I </b>immediately at our Technical Innovation Center in Hunt Valley, Maryland.</p><br>
<p></p>
<p>
What We Bring To The Table:</p>
<p>
The best people deserve the best rewards. In addition to the benefits you&rsquo;d expect from a global leader (401k, health insurance, paid time off, etc.) we also offer:</p>
<ul><li>Competitive compensation</li></ul>
<ul><li>Career growth opportunities</li></ul>
<ul><li>Flexibility and Support for Diverse Life Stages and Choices</li></ul>
<ul><li>Wellbeing programs including Physical, Mental and Financial wellness</li></ul>
<ul><li>Tuition assistance</li></ul><br>
<div></div>
<div><b>
Position Overview:</b></div>
<div>
The Packaging Laboratory Scientist I is responsible for developing and/or executing laboratory science projects, managing &amp; executing internal and external laboratory testing, maintaining laboratory equipment, and creating and implementing new test methodologies. This role supports new products, cost savings projects and manufacturing/supply chain improvements, and works cross-functionally to add value to the initiatives. You&rsquo;ll work with a diverse array of packaging formats and materials used for our leading brands including McCormick, Old Bay, Lawry&rsquo;s, Grill Mates, French&rsquo;s, Cholula, Frank&rsquo;s, and Gourmet Garden.</div><br>
<div></div>
<div><b>
Key Responsibilities:</b></div>
<ul>
<li>Development and/or execution of laboratory science projects.</li>
<li>Execution of laboratory testing of packages, packaging components, or packaging materials internally and through external partners, to validate or predict performance, durability, function &amp; reliability.</li>
<li>Laboratory operations support to include implementation of safety practices, creation &amp; maintenance of test procedures and SOPs, and equipment calibration &amp; maintenance.</li>
<li>Manage multiple work assignments concurrently with accountability for deliverables and milestones.</li>
<li>Plan and prioritize work to ensure deadlines and expectations are met and be highly self-directed.</li>
<li>Interact across all levels of the organization, work cross-functionally, and participate in project activities.</li>
<li>Apply established standards, controls, and processes.</li></ul><br>
<div></div>
<div><b>
Required Qualifications:</b></div>
<ul>
<li>Bachelor&rsquo;s Degree in Package Engineering, Packaging Technology, or a technically relevant discipline.</li>
<li>1-3 years of experience in technical areas of laboratory testing, laboratory projects and laboratory operations, preferably in the Consumer-Packaged Goods (CPG) industry.</li>
<li>Strong math, analytical, and problem-solving skills.</li>
<li>Creative problem-solving skills, high attention to detail, and highly organized.</li>
<li>Excellent communication skills, interpersonal skills, and the ability to be a team player.</li></ul><br>
<div></div>
<div><b>
Preferred Qualifications:</b></div>
<ul>
<li>Food industry and manufacturing environment experience.</li>
<li>Experience with advanced laboratory analysis equipment, automated metrology systems, robotics, and artificial intelligence.</li>
<li>Experience with SAP, Microsoft Word, Excel, SharePoint, and PowerPoint software.</li></ul><br>
<div></div>
<div>
#LI-CG1</div><br>
<p></p>
<p>
McCormick &amp; Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.</p>
<p>
As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future.</p><br>
<p></p>
<p>
==</p><br>
<p></p>
<p>
Base Salary: $63,250 to $110,680</p>
<p>
Base salary compensation will be determined based on factors such as geographic location, skills, education, experience for this role, and/or internal equity of our current employees as part of any final offer. This position is also eligible to participate in McCormick&rsquo;s Incentive Bonus (MIB) Plan. In addition to a competitive compensation package, permanent employees of McCormick are eligible for our extensive Total Rewards programs that include:</p>
<ul><li>Comprehensive health plans covering medical, vision, dental, life and disability benefits</li></ul>
<ul><li>Family-friendly benefits such as paid parental leave, fertility benefits, Employee Assistance Program, and caregiver support</li></ul>
<ul><li>Retirement and investment programs including 401(k) and profit-sharing plans</li></ul>
</div></div></div></div></div><div></div><div><div><div><h2 class="jobSectionHeader"><b>WHY WORK AT MCCORMICK?</b></h2><p>
As a McCormick employee you&rsquo;ll be empowered to focus on more than your individual responsibilities. You&rsquo;ll have the opportunity to be part of something bigger than yourself&mdash;to have a say in where the company is going and how it&rsquo;s growing.</p>
<p>Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.</p><br>
</div></div></div><div></div><p><br>
<b>Nearest Major Market: </b>Baltimore</p></div>

Packaging Materials Laboratory Scientist I

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