principal statistical scientist

Amrita University

Amrita Vishwa Vidyapeetham, Coimbatore Campus is inviting applications from qualified candidates for the post of Principal Scientist
<br><br>
<b>For Details Contact:</b> b_shantanu@cb.amrita.edu
<br><br>
Job Title Principal Scientist
<br>Required Number 1
<br>Qualification PhD on Advanced Composites
<br>Job Description Carrying our reserach on advanced composite materials for high speed trains.
<br>Job Category Research
<br>Last Date to Apply October 31, 2025

Principal Scientist

Amgen

<div><p>Join Amgen&rsquo;s Mission of Serving Patients</p><p>
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.</p><p>
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.</p><p>
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.</p><p></p><p><b>
Principal CMC Statistician</b></p><p></p><p><b>
What you will do</b></p><p>
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role you will contribute to Amgen&rsquo;s pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives.</p><p>
The Principal CMC Statistician will use their expertise to implement statistical tools and techniques with science-based practices used throughout the product life cycle. The statistician will provide multi-functional support to clinical and commercial manufacturing sites in the network including statistical support for activities such as process characterization and monitoring programs, analytical methods, specifications, and investigations.</p><p>
The statistician may also support the development of delivery devices, where they will provide statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification and transfer of physical test methods. They will also establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing ensuring that the overall program is aligned with Amgen and Regulatory/ISO requirements.</p><p>
Finally, the candidate will support to continuous improvement efforts across Amgen&rsquo;s networks, leading to harmonization, efficiency gains and scientific innovation and, administration of statistical training for Amgen&rsquo;s engineers and scientists.</p><ul><li><p>
Acts as a technical lead in the development, implementation and maintenance of statistical tools used to support product life cycle activities. This may include, drafting/updating white papers, writing standardized SAS and/or R code, outlining report templates, and aligning relevant SOPs.</p></li><li><p>
Provides continuous statistical support to a site or functional group by collaborating with technical associates to develop an experimental study, perform statistical analysis, and document results in a technical report that aligns with Amgen&rsquo;s document control system and has statistical integrity.</p></li><li><p>
Supports regulatory audits by interacting with technical staff to answer questions during on- site inspections; and provides written responses to clarify a statistical approach or perform additional analysis to support a Request for Information, as required.</p></li><li><p>
Participates in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes; and mentors and guides statistical techniques and software tools to technical associates.</p></li><li><p>
Stays up to date on biotechnology industry trends, standard processes, guidance documents and participates in external conferences, as appropriate.</p></li></ul><p></p><p><b>
What we expect of you</b></p><p>
We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a passionate individual with these qualifications.</p><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Doctorate Degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 2 years of applied statistics experience <b>OR</b>,</p></li><li><p>
Master&rsquo;s Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 8 to 10 years of applied statistics experience <b>OR</b>,</p></li><li><p>
Bachelor&rsquo;s Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 10 to 14 years of applied statistics experience <b>OR</b>,</p></li><li><p>
Diploma in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 14 to 18 years of applied statistics experience</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Post-graduate degree with 6+ years&rsquo; experience in Biopharma manufacturing and control</p></li><li><p>
Proficient in statistical tools and techniques commonly used in biopharma manufacturing operations, such as, Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation.</p></li><li><p>
Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCs, and ODS) and JMP statistical software</p></li></ul><p></p><p><b>
What you can expect of us</b></p><p>
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being.</p><ul><li><p>
Vast opportunities to learn and move up and across our global organization</p></li><li><p>
Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act</p></li><li><p>
Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits</p></li></ul><p>
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.</p><p></p><p><b>
Apply now</b></p><p><b>
for a career that defies imagination</b></p><p>
Objects in your future are closer than they appear. Join us.</p><p><b>
careers.amgen.com</b></p><p></p><p>
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.</p><p>
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.</p><p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p></div>

Principal CMC Statistician

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  Principal Data Scientist &ndash; Cyber Security | Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
  <strong>
   Principal Data Scientist
  </strong>
  . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
  <strong>
   AI, data, and cyber security
  </strong>
  , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
  </li>
  <li>
   Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
  </li>
  <li>
   Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
  </li>
  <li>
   Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
  </li>
  <li>
   Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   <strong>
    10+ years of experience
   </strong>
   in data science, machine learning, or applied AI, with a focus on hands-on technical work.
  </li>
  <li>
   Strong background in
   <strong>
    cyber security
   </strong>
   , ideally with experience in malware analysis, SOC operations, or threat intelligence.
  </li>
  <li>
   Proven record of building
   <strong>
    production-grade ML systems
   </strong>
   and data architectures.
  </li>
  <li>
   Advanced proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    TensorFlow/PyTorch
   </strong>
   , and distributed data technologies (Spark, Kubernetes, etc.).
  </li>
  <li>
   Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
  </li>
  <li>
   Strong communicator and problem-solver, able to operate both strategically and technically.
  </li>
 </ul>
 <li>
 </li>
 <p>
 </p>
</div>


Principal Data Scientist

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Principal Data Scientist - R01556906</b></h1>
<p></p><div><b>Principal Data Scientist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li><b>
Agentic AI</b>, <b>Large Language Models (LLMs)</b>, and <b>enterprise-grade AI/ML systems</b>. The ideal candidate will lead the design, experimentation, and deployment of <b>autonomous, multi-agent AI systems</b> leveraging <b>LLMs</b>, <b>knowledge graphs</b>, and <b>reasoning frameworks</b>.
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Agentic AI and LLM with framework</li></ul><h6 class="jobSectionHeader"><b>
Job requirements</b></h6><ul><li>
Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity, and growing at nearly 60% YoY since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology &ndash; cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
</li><li>With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded &lsquo;Great Place To Work&rsquo; in 2021 and 2022. Learn more www.Brillio.com</li></ul><div></div><div><br>
We are seeking a highly accomplished <b>Principal Data Scientist</b> with extensive experience in <b>Agentic AI</b>, <b>Large Language Models (LLMs)</b>, and <b>enterprise-grade AI/ML systems</b>. The ideal candidate will lead the design, experimentation, and deployment of <b>autonomous, multi-agent AI systems</b> leveraging <b>LLMs</b>, <b>knowledge graphs</b>, and <b>reasoning frameworks</b>. This is a strategic and hands-on role at the intersection of <b>data science, AI research, and engineering leadership</b>.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Lead the <b>architecture, experimentation, and fine-tuning</b> of <b>LLMs</b> (e.g., GPT, Claude, Mistral, LLaMA, Falcon) for business-specific applications.</li><li>
Drive <b>Agentic AI POCs and production implementations</b> using frameworks such as <b>LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel</b>.</li><li>
Design and implement <b>multi-agent systems</b> with human-in-the-loop decision-making, contextual reasoning, and memory management.</li><li>
Collaborate with cross-functional AI engineering, data platform, and product teams to <b>operationalize LLM-based solutions</b>.</li><li>
Develop <b>fine-tuning and RAG pipelines</b> using open-source and proprietary foundation models.</li><li>
Lead <b>research and evaluation</b> of emerging AI/LLM technologies for internal innovation and client solutions.</li><li>
Mentor data scientists and ML engineers on <b>prompt engineering, model alignment (RLHF/RLAIF),</b> and scalable AI system design.</li><li>
Partner with business stakeholders to translate complex business problems into <b>data-driven, AI-enabled strategies</b>.</li><li>
Publish internal whitepapers and drive <b>AI Center of Excellence (CoE)</b> initiatives within the organization.</li></ul><div></div><div><b><br>
Required Skills &amp; Experience</b></div><ul><li><b>
14&ndash;22 years</b> of overall experience with at least <b>4+ years in advanced AI/LLM/GenAI research or engineering.</b></li><li>
Deep expertise in <b>Agentic AI</b> and building <b>multi-agent workflows</b> using <b>LangGraph, LangChain, AutoGen, CrewAI, or Haystack.</b></li><li>
Strong hands-on programming skills in <b>Python</b>, with working proficiency in <b>R</b> or <b>Scala</b>.</li><li>
Proven experience with <b>LLM fine-tuning</b>, <b>adapter methods (LoRA, QLoRA, PEFT)</b>, <b>RAG pipelines</b>, and <b>vector databases</b> (e.g., Pinecone, FAISS, Weaviate, Milvus).</li><li>
Strong understanding of <b>transformer architectures</b>, <b>tokenization</b>, <b>prompt optimization</b>, and <b>model evaluation metrics</b>.</li><li>
Experience integrating <b>LLMs with enterprise data systems</b>, APIs, and orchestration pipelines (Databricks, AWS, Azure ML, Vertex AI).</li><li>
Demonstrated success leading <b>POCs and production-grade implementations</b> in <b>Agentic AI</b> use cases (knowledge assistants, automation, data analysis, etc.).</li><li>
Familiarity with <b>data engineering, MLOps/LLMOps</b>, and <b>cloud-native AI deployment</b>.</li><li>
Excellent analytical, communication, and leadership skills with a track record of <b>mentoring teams and driving innovation</b>.</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Advanced degree (Ph.D./M.Tech/M.S.) in <b>Computer Science, AI, Machine Learning, Data Science</b>, or a related field.</li><li>
Publications, patents, or conference presentations in <b>AI, NLP, or LLM</b> domains.</li><li>
Experience in <b>Generative AI governance</b>, <b>ethics</b>, or <b>AI system reliability</b>.</li><li>
Hands-on experience with <b>open-source LLM frameworks</b> and <b>custom dataset curation</b> for fine-tuning.</li></ul></div><p></p>

Principal Data Scientist – R01556906

Intuit

<div><p>Category Data</p>
<p>Location Bangalore, India
</p><p>Job ID 17065</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:</p><p><b><br>
Responsibilities</b></p><div><ul><li>
 Drives architecture decisions, influences and contributes to ML platform architecture and strategy
 </li></ul></div><div><ul><li>Creates a multi-year vision that connects product strategy with technology strategy
 </li></ul></div><div><ul><li>Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
 </li></ul></div><div><ul><li>Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
 </li></ul></div><div><ul><li>Weighs ROI considerations of general and tailored capabilities for projects in the team</li></ul></div><div>
 <ul><li>Creates new capabilities and technology shifts that solve critical business problems</li></ul></div><div>
 <ul><li>Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
 </li></ul></div><div><ul><li>Influences business leaders and architects around the company to shape mission-critical projects</li></ul></div><div>
 <ul><li>Leads team and partners to the successful delivery and integration of ML solutions</li></ul></div><div>
 <ul><li>Conducts design reviews, and holds teams to technical and operational rigor.
 </li></ul></div><div><ul><li>Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community</li></ul></div><p><b><br>
Qualifications</b></p><ul><li>
PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
</li><li>Solid knowledge of statistical techniques</li><li>
 3+ years as either a lead in a data science role or a management position in data science
</li><li>Strong communication skills and proven experience as an influencer at the executive level
</li><li>Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
</li><li>6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
</li><li>6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)</li></ul><p><b>
Strongly Preferred:</b></p><ul><li>
 PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
</li><li>Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
</li><li>Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
</li><li>Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
</li><li>Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
</li><li>Proven track record of influencing business leaders to shape mission-critical projects
</li><li>Proven track record of leading teams to successful delivery of ML solutions
</li><li>Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div></div><p></p>

Principal AI Scientist

Microsoft

<div><p>As a Principal AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.</p><p><b>
AI Mission and Impact</b></p><p>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.</p><p>
We are looking for a Principal AI Applied Scientist to join our team<br>
<br>
This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.</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><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p><b>
Bringing the State of the Art to Products</b></p><ul><li>
Build collaborative relationships with product and business groups to deliver AI-driven impact</li><li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li><li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, and support MLOps/AIOps.<br>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.</li><li>
Ability to use data to identify gaps in AI quality, uncover insights, and implement PoCs to show proof of concepts.</li></ul><div></div><p><b><br>
Leveraging Research in real-world problems</b></p><ul><li>
Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities.</li><li>
Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces.</li><li>
Production Integration: Turn research prototypes into production-quality code optimized for scale, latency, and maintainability.</li><li>
ML Design &amp; Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops.</li><li>
Evaluation &amp; Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.</li><li>
Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.</li><li>
Experimentation &amp; E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.</li></ul><div></div><p><b><br>
Cross-Functional Collab</b><b>oration &amp; Influence</b></p><ul><li>
Broker collaborations across Microsoft Research, product engineering, and external partners.</li></ul><p></p><p><b><br>
Ethics, </b><b>Privacy</b><b> and Security</b></p><ul><li>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.</li><li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.</li><li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.</li></ul><p><b>
Specialty Responsibilities</b></p><ul><li>
Design, develop, and integrate generative AI solutions using foundation models and more.</li><li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>
Prepare and analyze data for machine learning, identify optimal features, and address data gaps.</li><li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>
Address scalability and performance issues using large-scale computing frameworks.</li><li>
Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
Required Qualifications :</b></p><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li></ul></li><li>
8+ years of experience leading large-scale AI systems and cross-org initiatives that shipped.</li><li>
8+ years of experience in software engineering foundations and hands-on depth in Python plus deep-learning frameworks (PyTorch/ TensorFlow) and modern MLOps/tooling.</li></ul><div></div><div><b><br>
Other Requirements:</b></div><ul><li>
Ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</li><li><div><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.</li></ul></div></li></ul><div></div><p><b><br>
Preferred Qualifications:</b></p><ul><li>
PhD in AI/ML or related field with top-venue publications and/or patents.</li><li>
Experience architecting and deploying LLMs/multimodal models and multi-agent systems in production at scale.</li><li>
Familiarity with Responsible AI frameworks and bias-mitigation techniques.</li><li>
Demonstrated ability to shape product strategy and drive organizational change.</li><li>
Experience with Microsoft&rsquo;s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG</li></ul><div></div><div><br>
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until November 6, 2025.</div><div></div><div><br>
#BICJobs</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal AI Applied Scientist

Steuben Foods Inc.

<div>
 <p>
  The Principal Scientist will serve as a technical leader and subject matter expert, driving R&amp;D strategy across alternative protein platforms&mdash;including plant-based proteins, precision fermentation, and emerging technologies. This role blends
  <strong>
   hands-on research
  </strong>
  with
  <strong>
   strategic leadership
  </strong>
  , ensuring our scientific platforms deliver transformative products that meet consumer needs and accelerate business growth. In this position, you will collaborate closely with the VP of Research to create novel ingredients, processes, and products with high potential for intellectual property (IP). Strong expertise in
  <strong>
   protein structure&ndash;function relationships
  </strong>
  , particularly in novel food systems, is essential.
 </p>
 <p>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Lead the extraction, isolation, and characterization of new functional ingredients from plant raw materials using analytical techniques (HPLC-MS, SDS-PAGE, spectrophotometry, etc.).
  </li>
  <li>
   Apply advanced soft matter science to develop differentiated structured foods through emulsification, gelation, foaming, crystallization, and related approaches.
  </li>
  <li>
   Leverage AI and emerging technologies to design the next generation of healthy, functional foods with enhanced consumer experiences.
  </li>
  <li>
   Develop and implement procedures to characterize proteins and biopolymers using materials science techniques (DSC, rheometry, laser diffraction).
  </li>
  <li>
   Design and execute experiments, write SOPs and protocols for new procedures, analyze data, and prepare reports for review.
  </li>
  <li>
   Continuously scout and evaluate advanced technologies aligned with strategic focus areas; generate insights on new ingredient platforms.
  </li>
  <li>
   Lead high-impact research projects that result in patents and strengthen the company&rsquo;s innovation leadership.
  </li>
  <li>
   Build and manage collaborations with academic researchers, analytical service providers, consultants, ingredient suppliers, equipment manufacturers, and IP partners.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Qualifications
 </p>
 <ul>
  <li>
   Ph.D. in a scientific discipline (materials science, physics/biophysics, chemistry, physical chemistry, biological or chemical engineering, or related field) with
   <strong>
    3&ndash;5 years of food industry research experience
   </strong>
   .
  </li>
  <li>
   Hands-on expertise in characterizing and quantifying food ingredients (proteins, fats, carbohydrates, flavors, nutrients) using chemistry, rheology, texture analysis, and other advanced analytical methods.
  </li>
  <li>
   Strong knowledge of industry-standard food processing techniques and ability to research, design, and implement disruptive technologies.
  </li>
  <li>
   Demonstrated expertise in food texture development and emulsion formulation.
  </li>
  <li>
   Proven ability to translate scientific insights into novel food processes and products.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Nice to Have (Not Required)
 </p>
 <ul>
  <li>
   Experience with data analytics and machine learning.
  </li>
  <li>
   Demonstrated track record of IP generation and patent development.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Salary Range: $120,000 - $150,000
  </strong>
 </p>
 <p>
 </p>
 <p>
  Steuben Foods is committed to equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law.
 </p>
</div>


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