principal scientist

Veeprho Laboratories

Location:Seawoods,Navi MumbaiPrinciple Scientist : PhD in Organic ChemistryJob Profile: 1. Literature search regarding the synthesis of Impurities and intermediates. 2. Making of Structure Elucidation Reports followed by detailed spectral assignments (chemical shifts, integrations, correlations) and comparisons to databases. 3. Review of HNMR, IR, 13C NMR, 15N NMR, 2D NMR reports. 4. Technical supports in the evaluation of all types of characterisation data and queries from the customers. 5. Technical support to scientists for making scientific reports for the customers. 6. Handling of Rota vapour. 7. Structure Elucidation of Unknown Impurities.Why Join Us?<ul><li>Training will be provided by an experienced senior team member.</li></ul>Employment Type:Full-timeSalary:&quot;As per discussed Interview&rdquo;Work Days:Monday to Saturday.How to Apply:Apply directly via Indeed or email your resume to hr@veeprholabs.com with the subject line &ldquo;Application for Principle Scientist Executive - PhD in Chemistry&rdquo;Benefits:<ul><li>Provident Fund</li></ul>Work Location: In personJob Types: Full-time, PermanentBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

Principal Scientist - PhD ( Organic Chemistry)

MiQ Digital

<div>Role: Principal Data Scientist

Location: Bengaluru

What you&rsquo;ll do

We&rsquo;re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we&rsquo;re all united in the vision to lead the programmatic industry and make it better.

As a Principal Data Scientist in our data science department, you&rsquo;ll have the chance to:
<ul>
<li>Provide technical leadership and strategic direction for the data science practice across multiple product teams.</li>
<li>Focus on creating new business opportunities leveraging innovative data science technologies and approaches to solve complex business problems</li>
<li>Drive end-user usage and consumption of Data Science solutions while also striving for technical excellence.</li>
<li>Mentor and guide senior data scientists and engineers, fostering technical growth and excellence within the team.</li>
<li>Driving best practices across teams for - code development, code versioning, unit tests, testing strategies, pipeline architecture, model development &amp; deployment, use of cloud applications, use of AI/ML platforms.</li>
<li>Lead the evaluation and implementation of new data science models, platforms, and technologies to enhance the organization's capabilities.</li>
</ul>
Who are your stakeholders?

Internal Consumer/Stakeholders:
<ul>
<li>End Users (Account Managers / Traders / Sales / Analysts): Gather insights into business challenges and user feedback to propose solutions and features for enhanced user experience.</li>
<li>Development Team: Collaborate with Technology Managers to foster technical excellence in product development, ensuring the creation of robust, proven, scalable, data science-driven, and high-impact solutions.</li>
</ul>
What you&rsquo;ll bring
<ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>10 years of hands-on work experience in data science modelling to solve product or business problems.</li>
<li>Experience translating product and business questions into clearly framed investigative projects, performing statistical analysis, and coding (e.g., Python, R, SQL)</li>
<li>Ability to present to business leaders and communicate effectively with highly technical leadership teams.</li>
<li>Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and enablers within businesses.</li>
<li>Candidates with the ability to set-up and ensure continuous improvement of MLOps &amp; CI/CD processes will be preferred.</li>
<li>Experience in the advertising or ad-tech industry will be a plus.</li>
</ul>
We&rsquo;ve highlighted some key skills, experience and requirements for this role. But please don&rsquo;t worry if you don&rsquo;t meet every single one. Our talent team strives to find the best people. They might see something in your background that&rsquo;s a fit for this role or another opportunity at MiQ.
If you have a passion for the role, please still apply.
What impact will you create?
<ul>
<li>Lead the technical strategy and execution of data science initiatives that deliver significant impact across interdependent product lines.</li>
<li>Elevate the technical capabilities of the data science team by driving the adoption of advanced methodologies and best practices.</li>
<li>Ensure the rigor, quality, and ethical integrity of data science outputs across all product domains</li>
<li>Accelerate the experimentation of data science applications by developing rapid POC/MVP to drive business impact.</li>
</ul>
What&rsquo;s in it for you?

Our Center of Excellence is the very heart of MiQ, and it&rsquo;s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business.

MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we&rsquo;re always moving towards becoming an even better place to work.

Values

Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.
<ul>
<li>We do what we love - Passion</li>
<li>We figure it out - Determination</li>
<li>We anticipate the unexpected - Agility</li>
<li>We always unite - Unite</li>
<li>We dare to be unconventional - Courage</li>
</ul>
Benefits
Every region and office has specific perks and benefits, but every person joining MiQ can expect:
<ul>
<li>A hybrid work environment
</li><li>New hire orientation with job-specific onboarding and training</li>
<li>Internal and global mobility opportunities</li>
<li>Competitive healthcare benefits</li>
<li>Bonus and performance incentives</li>
<li>Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.</li>
<li>Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities.</li>
</ul>
Apply today!

Equal Opportunity Employer</div>

Principal Data Scientist

Inception

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 You will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Core42. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Core42for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 10 years of experience in developing AI algorithms for various modalities.
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
</div>

Principal Applied Scientist

Microsoft

<div>Overview 
We are seeking a highly skilled and experienced Principal Data Scientist to join our Metrics &amp; evaluation team in Microsoft AI org. This individual will play a pivotal role in defining the direction of our search engine for the upcoming years. The ideal candidate will have a solid expertise in statistics and a proven track record of leveraging data to drive business decisions.
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.
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. 
Responsibilities 
<ul><li>
Lead the development and implementation of advanced statistical models and algorithms to analyse complex data sets.</li><li>
Collaborate with cross-functional teams to define key metrics and KPIs that align with our product goals.</li><li>
Provide strategic insights and recommendations based on data analysis to influence product direction and business strategies.</li><li>
Uphold data engineering and data science best practices new methodologies, technologies, industry trends and open sources.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul> 

Qualifications 
<ul><li>
Required Qualifications:</li><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ 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 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
6+ years of extensive experience in metric defintion, statistical analysis, machine learning, and data mining.</li><li><div>
Customer‑obsessed mindset with the ability to translate customer needs and business problems into data‑driven solutions.</div></li><li>
Solid problem-solving skills and the ability to think critically and analytically.</li><li>
Proficiency in programming languages such as Python, R, or SQL.</li><li>
Excellent communication and presentation skills, with the ability to convey complex concepts to the stakeholders and manage expectations with them.</li><li>
Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.</li><li>
Experience in defining metrics to measure the success of a large-scale product/service and define OKR metrics for large orgs is a plus.</li><li>
Experience in working with Cloud architecture such as Azure is a plus</li><li>
Ability to work cross-group and across disciplines effectively.</li><li>
Excellent skills in designing, debugging and problem solving.</li><li>
#MicrosoftAI</li></ul> 
 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
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.</div>

<div>Overview<div> 
Security represents the most critical priority for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate.</div><div>
The Identity Threat Detection and Response (ITDR) Security Research team leads advanced research in Identity protection, leveraging next-generation AI and cloud technologies. Our team comprises globally recognized experts in identity and cloud-related threats&mdash;highly skilled, passionate professionals committed to driving innovation and safeguarding customers in an ever-evolving. We are hiring a Principal Applied Scientist.</div><div>
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.</div><div>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</div> 
Responsibilities<ul><li><ul><li><div> 
Responsibilities</div><div><ul><li>
Lead independently projects focused on AI / Agentic research applied to cybersecurity problems aiming to translate ideas and prototypes into concrete product advancements or novel capabilities</li></ul></div><div><ul><li>
Productionize AI &amp; ML: collaborate with engineering and product teams to productionize models, pipelines, and meet objectives for latency, throughput, and availability. Develop fine-tuning techniques for transformer models and establish benchmarks for accuracy, robustness, and performance to ensure reliable model delivery.</li></ul></div><div><ul><li>
Identify and integrate diverse data sources, develop deep expertise across them, and surface new patterns and opportunities&mdash;communicating clear, compelling, data driven stories visually and verbally.</li></ul></div><div><ul><li>
Analyze largescale datasets and build robust, scalable feature engineering pipelines in PySpark based environment.</li></ul></div><div><ul><li>
Partner with AI, Engineering and Data scientist teams to build machine learning systems that identify anomalies, account compromise, fraud, and identity threats, leveraging GenAI and graph based approaches.</li></ul></div><div><ul><li>
Collaborate across Threat Research, Engineering, and Product teams to define and instrument metrics that demonstrate product and business success (e.g Detection Efficacy, Coverage, Timetodetect)</li></ul></div><div><ul><li>
Embody our culture and values</li></ul></div></li></ul></li></ul> 
Qualifications<div> 
Required Qualifications:</div><div>
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) OR</div><div>
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) OR</div><div>
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.</div><div>
Other Requirements:</div><div><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></ul></div><div> 
Microsoft Cloud Background Check:</div><div><ul><li>
This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></div><div> 
Preferred Qualifications:</div><div><ul><li>
Proven ability to design end-to-end data and feature pipelines (SQL, PySpark, Azure Data Studio) that ship robust, production ready ML models.</li></ul></div><div><ul><li>
Proven expertise in applying AI/ML systems and solutions to solve real cybersecurity problems</li></ul></div><div><ul><li>
7+ years of hands-on experience with Spark/PySpark, Databricks, Azure ML, SQL/KQL, and strong programming skills in Python and/or C</li></ul></div><div><ul><li>
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li></ul></div><div><ul><li>
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li></ul></div><div><ul><li>
5+ years experience conducting research as part of a research program (in academic or industry settings).</li></ul></div><div><ul><li>
Comfortable working with complex, high-dimensional, multisource data; excels at data wrangling, enrichment, and quality assurance to solve hard, real world problems.</li></ul></div><div><ul><li>
Works cross-functionally with Data Scientists, Threat Researchers, Engineering, and Product to define metrics, measure outcomes, and improve customer value. Communicates insights visually and verbally, telling clear, compelling, datadriven stories to drive decisions.</li></ul></div><div><ul><li>
Applied expertise in classification, prediction, anomaly detection, optimization, graph ML, and NLP. Experience with Generative AI (prompt engineering, RAG, finetuning, responsibleAI practices) is highly valued.</li></ul></div></div> 

 
 
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.
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 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
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.</div>

Xactly Corp.

<div>Overview:

WHO WE ARE
Xactly is a leader in Intelligent Revenue Solutions and a part of Vista Equity Partners portfolio companies since 2017. The Xactly Intelligent Revenue Platform marries artificial intelligence and 17 years of proprietary data in easy-to-use applications. 
Named among the best workplaces in the U.S. by Great Place to Work six times, honored on FORTUNE Magazine&rsquo;s inaugural list of the 100 Best Workplaces for Millennials, and chosen as the &ldquo;Market Leader in Incentive Compensation&rdquo; by CRM magazine. We&rsquo;re building a culture of success and are looking for motivated professionals to join us!
About the Role
Xactly&rsquo;s AI Labs is building the next generation of intelligent agents and AI-powered experiences across our Sales Performance Management suite. We are looking for a Senior Data Scientist who will be the foundational DS member of the team in India. This role is ideal for someone who thrives in ambiguity, enjoys full ownership, and can translate high-level business goals into data-driven solutions with minimal supervision.
You will work directly with AI Labs leadership to convert 15+ years of incentive compensation, quota, and performance data into actionable insights, models, and features that power our AI agents (Plan Config Agent, Dispute Agent, Data Exploration Assistant, etc.). Your work will materially shape how Xactly customers perceive value from AI.<div>
Build the insights layer for Xactly&rsquo;s incentive data 
<ul><li> Analyze 15+ years of complex compensation, quota, attainment, and plan design data.</li><li>Identify patterns, anomalies, risk indicators, and optimization opportunities.</li><li>Create reusable features, metrics, benchmarks, and scoring signals for use across AI agents and product workflows.</li></ul></div><div>
Work as part of AI Labs to design AI-driven experiences 
<ul><li>Translate product requirements into concrete data science and ML problem statements.</li><li>Prototype models and analytical frameworks that support use cases such as:</li><li>Work closely with product, engineering, and design to turn prototypes into user-facing features.</li></ul></div><div>
Own the end-to-end data science pipeline 
<ul><li>Perform exploratory data analysis, feature engineering, and model experimentation on large, noisy datasets.</li><li>Define and implement data quality profiling and monitoring to ensure trustworthy insights.</li><li>Build scalable frameworks and reusable components (feature libraries, scoring functions, benchmarks) that other teams can leverage.</li><li>Collaborate with AI engineers to productionize models and insights with appropriate monitoring and retraining strategies.</li></ul></div><div>
Make data usable and understandable in the application 
<ul><li>Design interpretable, product-ready outputs such as scorecards, benchmarks, behavioral signals, pattern summaries, and risk indicators.</li><li>Work with the Head of AI Labs and the AI architect ensure outputs can be surfaced in a way that makes sense to admins, comp analysts, finance leaders, and sellers.</li><li>Provide clear documentation that explains how scores and insights are calculated, and what actions customers should take.</li><li>Work autonomously with minimal direction and be comfortable setting your own plan and milestones.</li><li>Drive clarity in ambiguous areas by proposing approaches, framing trade-offs, and suggesting MVP paths.</li><li>Influence long-term data science strategy and help define the profile of future hires as we scale the AI Labs data team.</li></ul></div>
What You Bring<ul><li>5&ndash;7+ years of hands-on experience in Data Science, applied ML, or advanced analytics.</li><li>Proven ability to independently define problems, choose appropriate methods, and deliver measurable business impact.</li><li>Strong experience with exploratory data analysis, feature engineering, and statistical modeling.</li><li>Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn; PySpark or similar is a plus).</li><li>Experience working with large historical datasets; exposure to time-series, forecasting, or behavioral modeling is preferred.</li><li>Experience building interpretable scoring systems, risk models, or insights frameworks that are used by non-technical stakeholders.</li><li>Strong communication skills: able to explain complex analysis in simple terms for product, engineering, and business stakeholders.</li><li>Comfort operating as an individual contributor in a fast-paced, ambiguous environment, with minimal supervision.</li><li>Experience in incentive compensation, HR analytics, sales analytics, or financial data is a plus but not required.</li></ul>
Why Join Xactly AI Labs?<ul><li>Direct impact on flagship AI agents used by enterprise customers worldwide.</li><li>Opportunity to shape the foundational data and insights strategy for Xactly&rsquo;s AI platform.</li><li>Autonomy to build from scratch with strong support from product, engineering, and data leaders.</li><li>Opportunity to influence hiring and help build out the broader data science function over time.</li></ul>
BENEFITS &amp; PERKS<ul><li>
Paid Time Off (PTO)</li><li>
Comprehensive Health and Accidental Insurance Coverage</li><li>
Tuition Reimbursement</li><li>
XactlyFit Gym/Fitness Program Reimbursement</li><li>
Free snacks onsite(if you work in office)</li><li>
Generous Employee Referral Program</li><li>
Free Parking and Subsidized Bus Pass (a go-green initiative!)</li><li>
Wellness program</li></ul>
OUR VISION: Unleashing human potential to maximize company performance. We address a critical business need: to incentivize employees and align their behaviors with company goals.
OUR CORE VALUES: Customer Focus | Accountability | Respect | Excellence (CARE) are the keys to our success, and each day we&rsquo;re committed to upholding them by delivering the best we can to our customers.
Xactly is proud to be an Equal Opportunity Employer. Xactly provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law. This means we believe in celebrating diversity and creating an inclusive workplace environment, where everyone feels valued, heard, and has a sense of belonging. By doing this, everyone in the Xactly family has the power to make a difference and unleash their full potential.
We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.</div>

Amazon

Job ID: Amazon Development Center U.S., Inc. Amazon Web Services (AWS) is looking for a Principal Applied Scientist to join the Amazon Q team. Q is AWS's enterprise generative AI assistant that helps users answer questions, summarize documents, generate content, take actions, and automate workflows using information across enterprise systems. As a key member of this team, you will lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning, automate multi step workflows, and make enterprise users significantly more productive. You'll work on building and optimizing multi modal foundation models, training and fine tuning state of the art LLMs, and architecting systems that scale efficiently across domains. This role blends science leadership, hands on innovation, and deep collaboration with engineering teams to bring research into production. Key Job Responsibilities <ul> <li>Lead the design and development of foundational models and intelligent agent architectures tailored to enterprise use cases.</li> <li>Partner with engineering, product, and UX teams to integrate generative AI into the Amazon Q assistant.</li> <li>Drive experimentation to improve model accuracy, safety, latency, and cost efficiency.</li> <li>Mentor other scientists and engineers, helping raise the technical bar across the team.</li> <li>Contribute to and publish in top tier conferences or file patents based on novel research contributions.</li> </ul> About the Team Amazon Q is a generative AI powered assistant that helps employees become more productive by answering questions, generating content, summarizing data, and automating workflows using enterprise information. Our team builds the intelligence behind Q, leveraging large language models, retrieval augmented generation, and agentic architectures to orchestrate complex workflows securely and at scale. We're focused on building systems that reason, plan, and act across multiple modalities and business tools. As part of AWS's broader Agentic AI initiative, we're shaping the future of enterprise AI-empowering organizations to solve problems faster, reduce operational overhead, and unlock new levels of efficiency and decision making. Basic Qualifications <ul> <li>PhD in Machine Learning, Computer Science, Electrical Engineering, or a related technical field OR a Master's degree with 5+ years of relevant industry or research experience.</li> <li>Industry experience developing machine learning models for real world applications.</li> <li>Experience with generative AI, including model training or building systems with pre trained foundation models.</li> <li>Proven record of peer reviewed publications or granted patents in AI/ML.</li> <li>Proficiency in Python or similar programming languages.</li> <li>Experience in at least one of the following areas: natural language processing (NLP), large language models (LLMs), computer vision, or Agentic AI.</li> </ul> Preferred Qualifications <ul> <li>Experience applying generative AI to enterprise or multi modal tasks (e.g., code generation, document understanding, or task planning).</li> <li>Strong understanding of agentic architectures, autonomous systems, or task orchestration.</li> <li>Hands on experience with scalable ML infrastructure, distributed training, or optimization of large models.</li> <li>Deep knowledge of AI safety, hallucination mitigation, or retrieval augmented generation (RAG).</li> <li>Experience mentoring junior scientists and influencing cross functional stakeholders.</li> <li>Ability to think strategically and communicate complex technical topics to non experts, including senior leadership.</li> <li>Track record of shipping scientific innovations into customer facing products at scale.</li> </ul> Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Your compensation will include a base salary ranging from $179,000 to $309,400 per year depending on geographic market, plus potential equity, sign on payments, and other benefits. For more information, visit the Amazon employee benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Principal Applied Scientist, Amazon Q

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