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Systimmune

<div><div>Redmond, WA
</div><div>Full Time
</div><div>Process Development
</div><div>Mid Level</div></div>
<br><div><p>SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.<br>
<br>
We are seeking a highly skilled and motivated Upstream <b>Scientist/Senior Scientist</b> to join our team onsite in Redmond, WA. This individual will lead and execute upstream project process development (USP) and technology transfer activities to support the development of clinical manufacturing processes for our protein therapeutics pipeline. The ideal candidate will have hands-on experience with mammalian cell culture, bioreactor operations, and process scale-up for biologics production.</p><h4 class="jobSectionHeader"><b>
Responsibilities:</b></h4><ul><li>
Apply technical knowledge and in upstream process development for CHO cells (bioreactor process design, scale up, media and feed optimization, etc.), draft study protocol, design and execute experiments including in-process tests, characterize and deliver harvest material to downstream team, and author technical reports.</li><li>
Stay abreast of technical advancements in the CMC area of CHO cell line development and upstream process development and technology transfer aligned with cGMP clinical manufacturing.</li><li>
Support the transfer, development, and scale-up of CHO cell culture process technology from research into process development and manufacturing, to enable the production of clinical material</li><li>
Collaborate with teams in downstream process development and analytical development to advance recombinant protein programs</li><li>
Lead and support various elements of early-stage CMC development activities, including technical support of non-GMP and clinical manufacturing, as well as development and implementation of process improvements, as programs advance through development</li><li>
Analyze, interpret, present and document complex technical information in statistically meaningful ways. Exhibit and improvein DoE and multi variant analysis.</li><li>
Work with the team within the project scope, manage timeline in a fast-paced dynamic environment with rigor and agility.</li><li>
Data analysis, interpretation, and effective communication to management.</li></ul><h4 class="jobSectionHeader"><br>
<b>
Qualifications:</b></h4><ul><li>
PhD with 3+ years of work experience in upstream bioprocess in the biotech/biopharma industry.</li><li>
Significant technical bioreactor use, optimization, and scale-up. DasGip or DASware experience is desired. Perfusion experience is a plus.</li><li>
Ability to work independently to troubleshoot processes and develop new methods in a flat, collaborative matrix.</li><li>
Experience in scaling up and technology transfer to manufacturing environment and understand GMP well.</li><li>
Experience and knowledge in other sections of therapeutic protein process development, including downstream, formulation, analytics, are valued.</li><li>
Exceptional communication and interpersonal skills to positive relationships with stakeholders.</li><li>
Proactively introduce new methods, provide technical mentorship to colleagues, and identify and execute ways to keep lab running efficiently.</li><li>
Accuracy and attention to detail.</li><li>
Ability to work on multiple projects simultaneously.</li></ul><p><br>
This job description is intended to present the general content and requirements for this job. The description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Managers and supervisors may assign other duties as needed.</p><p><b><br>
Compensation and Benefits:</b><br>
The expected base salary range for this position is $90,000 to $140,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate&rsquo;s qualifications, experience, and skills.<br>
<br>
While most offers typically fall within the <b>low to mid-point</b> of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise <b>exceeds</b> the requirements of the role.<br>
<br>
<b>SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company&rsquo;s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.</b><br>
<br>
<b>We offer an opportunity for you to learn and grow while making significant contributions to the company&rsquo;s success.
</b><br>
<br>
<b>SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.</b></p></div>

Scientist/Senior Scientist, Upstream

<div><div>Redmond, WA
</div><div>Full Time
</div><div>Protein Engineering
</div><div>Mid Level</div></div>
<br><div><p>SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.</p><p><br>
We are seeking a highly skilled and energetic <b>Senior Scientist</b> to join our Protein Engineering Group. The successful candidate will deploy cutting edge concepts in therapeutics development and play a pivotal role in advancing our protein engineering efforts employing numerous techniques, including molecular biology, protein purification, Biolayer interferometry (BLI), and protein stability assessment. Ideal candidates will have deep expertise and interest in the properties and functions of proteins and protein-protein interactions, along with a strong track record of high-impact publications. This position offers a unique opportunity to contribute to the development of novel therapeutic antibodies within a dynamic and innovative environment.</p><h4 class="jobSectionHeader"><b><br>
Responsibilities:</b></h4><ul><li>
Lead and Advance Target Projects: Conduct literature reviews, coordinate cross-functional teams, and compile comprehensive data reports.</li><li>
Innovative Research: Utilize state-of-the-art techniques to accelerate project timelines and drive impactful discoveries.</li><li>
Data Analysis &amp; Reporting: Analyze experimental data, generate reports, and present findings to cross-functional teams.</li><li>
Protein Purification: Execute affinity chromatography, ion-exchange chromatography, and size-exclusion chromatography using FPLC (Akta) systems.</li><li>
Protein Analytics: Perform advanced chromatography on HPLC systems, measure protein-protein interactions with BLI, and assess protein stability using DLS/SLS thermal melts.</li><li>
Mammalian Expression &amp; Cell Culture: Transfect mammalian cells for protein expression and maintain cell lines.</li><li>
Molecular Biology: Utilize techniques such as Gibson Assembly, PCR, gel electrophoresis, DNA sequencing, and plasmid preparations.</li><li>
Team Leadership and Mentorship: Supervise and mentor junior scientists, fostering a culture of collaboration and scientific excellence.</li><li>
Collaboration &amp; Innovation: Work closely with multidisciplinary teams to contribute to project planning and execution.</li><li>
Lab Management: Maintain accurate records according to company standards, ensure safety compliance, and support lab organization and operations.</li></ul><h4 class="jobSectionHeader"><br>
<b>
Qualifications:</b></h4><ul><li>
PhD in biochemistry, biophysics, molecular biology, structural biology, cell biology, or a related field.</li><li>
1+ years of postdoctoral experience in a relevant field.</li><li>
2+ years of industry experience is highly preferred.</li><li>
Strong Publication Record of multiple high-impact papers in relevant fields.</li></ul><h4 class="jobSectionHeader"><b>
Technical Skills:</b></h4><ul><li>
Expertise in protein purification and handling.</li><li>
Experience with mammalian expression systems is strongly preferred.</li><li>
Strong background in molecular biology, structural biology, biophysics and biochemistry.</li><li>
Familiarity with data analysis software, programming languages, and statistical tools.</li><li>
Ability to maintain records within a laboratory information management system (LIMS).</li><li>
Ability to review and synthesize recent relevant literature.</li></ul><p><b><br>
Compensation and Benefits:</b></p><p>
The expected base salary range for this position is $90,000 - $140,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate&rsquo;s qualifications, experience, and skills.<br>
<br>
While most offers typically fall within the <b>low to mid-point</b> of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise <b>exceeds</b> the requirements of the role.<br>
<br>
<b>SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company&rsquo;s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.</b><br>
<br>
<b>We offer an opportunity for you to learn and grow while making significant contributions to the company&rsquo;s success.
</b><br>
<br>
<b>SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.</b></p></div>

Senior Scientist, Protein Engineering

Microsoft

<div><div>Microsoft <b>Cloud Operations + Innovation (CO+I)</b> is the engine that powers Microsoft&rsquo;s cloud services. Our team is dedicated to delivering high-quality infrastructure to support cloud operations. As Microsoft&rsquo;s cloud business continues to mature, our infrastructure expansion accelerates&mdash;with Data Centers at the core of this growth. To support this momentum, we are scaling the acquisition and development of our owned, designed, and constructed Data Center facilities. In parallel, we continue to lease and acquire Data Center capacity at pace, especially in high-growth markets. This involves close collaboration with Data Center operators across regions and around the globe.</div><div></div><div><br>
We are seeking a skilled <b>Senior Data Scientist</b> to join our <b>CO+I Lease and Land Development Digital Transformation team</b>. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about using data to influence product strategy and enhance customer experience. You will collaborate with cross-functional teams&mdash;including PMs, engineers, and business stakeholders&mdash;to deliver AI and Agentic AI solutions, actionable insights, and scalable data systems.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive&mdash;at work and beyond.</div><div></div><div><br>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment that positively impacts our culture every day.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Apply modification techniques to transform raw data into compatible formats for downstream systems. Utilize software and computing tools to ensure data quality and completeness. Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability.</li><li>
Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects.
</li><li>Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development</li><li>
Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leaders. Develops usable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers</li><li>
Adhere to data modeling and handling procedures to maintain compliance with laws and policies. Document data type, classifications, and lineage to ensure traceability and govern data accessibility.</li><li>
Perform root cause analysis to identify and resolve anomalies. Implement performance monitoring protocols and build visualizations to monitor data quality and pipeline health. Support and monitor data platforms to ensure optimal performance and compliance with service level agreements.</li><li>
Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.</li><li>
Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average [ARIMA], recurrent neutral networks [RNN], long short-term memory [LSTM] networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc.
</li><li>Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders. Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability. Develops operational models that run at scale through partnership with data engineering teams. Coaches less experienced engineers on data analysis and modeling best practices. Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks).
</li><li>Design and Implement Dashboards: Develop user-friendly dashboards for various applications, such as Supplier Spend Analytics, Supplier Scorecards, Incident and Service Level Agreement (SLA) Compliance Monitoring, Spares and Inventory Management, and other business-facing applications.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li><div>
Bachelor&rsquo;s or Master&rsquo;s degree in computer science, Math, Software Engineering, Computer Engineering</div><ul><li><div>
or related field AND 3+ years&rsquo; experience in business analytics, data science, data modeling, or data engineering.</div></li></ul></li><li>
Excellent analytical skills with a systematic and structured approach to software design.</li><li>
5+ years of experience in data science, analytics, or machine learning.</li><li>
2+ years of experience within model deployment &amp; operations: experience deploying agents in Azure cloud environments, with familiarity in containerization, continuous integration/continuous development pipelines and model monitoring.<br>
5+ years of experience within data handling &amp; feature development: Experience in handling large-scale structured and unstructured datasets, including time-series and text data, and applying advanced feature engineering techniques.</li><li>
3+ years of experience in coding and design, specifically in the development of AI models for production services.</li><li>
4+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate &amp; M365 Dataverse.</li><li>
Experience with data cloud computing technologies such as &ndash; Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer</li></ul><div>
While not required, we also look for the following<b> </b><b>Preferred Qualifications:</b></div><ul><li>
5+ years of experience with large data and compute using tools like spark, SQL, databases, other cloud solutioning (e.g. deployment, monitoring).</li><li>
1+ years of experience within agent communication &amp; protocols: Experience designing and implementing multi-agent systems using communication protocols such as MCP or similar. Ability to structure agent interactions, manage stateful dialogs, and coordinate task execution across distributed AI agents in enterprise environments.</li><li>
3+ years of experience in building Data Pipelines using Azure Data Factory.</li><li>
5+ years of experience cross-functional collaboration: Ability to partner with software engineers, product managers, and business stakeholders to translate business needs into AI-driven solutions.</li><li>
5+ years of experience with large data and compute using tools like spark, SQL, databases, other cloud solutioning (e.g. deployment, monitoring).</li><li>
5+ years of experience communicating at different levels (e.g. customers, executives) to clarify problem statements, solutions and product feedback.</li><li>
2+ years of exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies</li><li>
1+ year of experience in developing solutions in Azure Fabric.</li><li>
Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring<br>
Ability to communicate technical concepts effectively with both technical and non-technical stakeholders</li></ul><div><b><br>
Background Check Requirements:</b></div><div>
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:</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>
#COICareers | #EPCCareers | #DCDCareers</div><div></div><div><br>
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 October 31, 2025.</div><br>
<div></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>

Senior Data Scientist

<div><div>We turn everyday, messy queries into precise, actionable signals that power M365 Copilot and Microsoft Search. Language understanding (LU) sits on the critical path&mdash;it can run on every query&mdash;classifying intent and slots and shaping the downstream search plan across providers in the substrate stack. Our work ensures that all tool calls are appropriately scoped and parameterized so Copilot starts with the right grounding data, improving relevance and limiting hallucinations.</div><div><br>
As <b>Senior Applied Scientist - Language Understanding and Grounding Data Quality</b>, what you&rsquo;ll work on<br>
<br>
Large Language Model (LLM)/SLMpowered LU: intent &amp; slotting with calibrated confidence, optimized for low latency and high reliability in Copilot experiences<br>
<br>
MultiQuery (MQ) expansion: embrace ambiguity by exploring multiple interpretations and smarter fallbacks to boost recall without sacrificing precision.<br>
<br>
Finetuning &amp; eval tooling: Our team works to improve model quality specific to tool calling: Making sure the right tool is called in the right way at the right time to get the best grounding data possible. To do it, we post-train LLMs iterating fast with robust datasets, prompt evaluation, and shiproom discipline to raise quality week over week through leading edge fine-tuning<br>
<br>
Global reach: help bring LU to more languages and markets with compliant modeling practices and scalable i18n strategy.<br>
<br>
Deep partner collaboration: work side-by-side with Relevance and Reasoning on unified strategies that blend lexical + semantic retrieval.</div><div><br>
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><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Improve LLM capabilities influencing grounding data quality.</li><li>
Apply latest research to post-train LLMs.</li><li>
Build and evaluate metrics and reward models.</li><li>
Add new functionality and ensure high quality for customers using Copilot on their Business data.</li><li>
Design and implement scalable evaluation pipelines for LU and grounding quality</li><li>
Collaborate with cross-functional teams to define success metrics and drive continuous improvement in Copilot experiences</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor'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)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
Experience in Python, C# or similar programming languages for model development, training, and evaluation</li><li>
Experience with large-scale machine learning systems, including training, fine-tuning, and deployment of LLMs or similar models</li></ul><div><b>
Other Requirements:</b><br>
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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Hands-on experience with prompt engineering, reinforcement learning from human feedback (RLHF), or reward modeling</li><li>
Familiarity with distributed systems and cloud platforms (e.g., Azure) for large-scale ML workloads</li></ul><div>
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 October 31, 2025.</div><br>
<div></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>

Senior Applied Scientist - Language Understanding and Grounding Data Quality

<div></div><div><h1 class="jobSectionHeader"><b>Senior AI Applied Scientist</b></h1><div><div><p>
Redmond, Washington, United States</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 30, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1894934</b></div></div></div><div><div><div>
Work site</div><div><b>
3 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
As a 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.</div><div><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 experience.<br>
<br>
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.<br>
<br>
We are looking for an <b>Senior AI Applied Scientist </b>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.<br>
<br>
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></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><li><div>
Bachelor&rsquo;s degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research</div><ul><li>
OR Master&rsquo;s degree AND 3+ years of experience</li><li>
OR PhD AND 1+ year of experience</li><li>
OR equivalent experience</li></ul></li></ul><ul><li>
1+ years of experience with generative AI OR LLM/ML algorithms.</li></ul><div><b>
Other Requirements:</b><br>
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:</div><ul><div><ul><li><b><br>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></div></ul><div></div><div><b>
Preferred Qualifications:</b><ul><li><div><div>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.</div></div></li><li><div>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).<br>
</div></li><li><div>
Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript.<br>
</div></li><li><div>
Experience with design and implementation of enterprise-scale services.<br>
</div></li><li><div>
3+ years of experience publishing in peer-reviewed venues or filing patents.<br>
</div></li><li><div>
Experience presenting at conferences or industry events.<br>
</div></li><li><div>
3+ years of experience conducting research in academic or industry settings .<br>
</div></li><li><div>
1+ years of experience working with Generative AI models and ML stacks.<br>
</div></li><li><div>
Experience across the product lifecycle from ideation to shipping.</div></li></ul><div>
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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><div><br>
#BICJOBS</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><div>
Bringing the State of the Art to Products</div>
Build collaborative relationships with product and business groups to deliver AI-driven impact<br>
<ul><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.<br>
<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.<br>
<li>
</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, 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.<br>
</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>
Leveraging Research in real-world problems</div>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.<br>
<ul><li>
</li>
Share insights on industry trends and applied technologies with engineering and product teams.<br>
<li>
</li><li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.</li></ul><div>
Documentation</div>
Maintain clear documentation of experiments, results, and methodologies.<br>
<ul><li>
</li><li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing.</li></ul><div></div><div><br>
Ethics, Privacy and Security</div>
 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.<br>
<ul><li>
</li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.<br>
<li>
</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><div>
Specialty Responsibilities</div>
Design, develop, and integrate generative AI solutions using foundation models and more.<br>
<ul><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<br>
<li>
</li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.<br>
<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<br>
<li>
</li>
Address scalability and performance issues using large-scale computing frameworks.<br>
<li>
</li><li>
Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.</li><li>
Embody our culture and values.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Senior AI Applied Scientist

<div><div>As a <b>Senior AI Applied Scientist</b> 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.<br>
<br>
AI Mission and Impact:<br>
<br>
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.<br>
<br>
We are looking for anSenior 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.<br>
<br>
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><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Bringing the State of the Art to Products.</li><li><div>
Build collaborative relationships with product and business groups to deliver AI-driven impact.<br>
<ul><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.<br>
<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.<br>
<li>
</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.</li></ul></div></li></ul><ul><li><div>
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.<br>
<ul><li>
</li>
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.<br>
<li>
</li></ul></div></li>
Leveraging Research in real-world problems<br>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.<br>
<li><ul><li>
</li>
Share insights on industry trends and applied technologies with engineering and product teams.<br>
<li>
</li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.<br>
<li>
</li></ul></li>
Documentation<br>
Maintain clear documentation of experiments, results, and methodologies.<br>
<li><ul><li>
</li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing<br>
<li>
</li></ul></li>
Ethics, Privacy and Security<br>
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.<br>
<li><ul><li>
</li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.<br>
<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.<br>
<li>
</li></ul></li>
Specialty Responsibilities<br>
Design, develop, and integrate generative AI solutions using foundation models and more.<br>
<li><ul><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<br>
<li>
</li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.<br>
<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<br>
<li>
</li>
Address scalability and performance issues using large-scale computing frameworks.<br>
<li>
</li><li>
Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams.</li><li>
Embody our culture and values.</li></ul></li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor'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)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li></ul><ul><li>
1+ years of experience with generative AI OR LLM/ML algorithms.</li><li>
1+ 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></ul><div></div><div><b><br>
Other Requirements:</b></div><div>
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:</div><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><br>
<ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.<br>
</li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).<br>
<li>
</li>
3+ years of experience publishing in peer-reviewed venues or filing patents.<br>
<li>
</li>
Experience presenting at conferences or industry events.<br>
<li>
</li>
3+ years of experience conducting research in academic or industry settings.<br>
<li>
</li>
1+ year of experience developing and deploying live production systems.<br>
<li>
</li>
1+ years of experience working with Generative AI models and ML stacks.<br>
<li>
</li><li>
Experience across the product lifecycle from ideation to shipping.</li></ul><div><b>
Applied Sciences IC4</b> - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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>
<br>
</div><div>Microsoft will accept applications for the role until October 31, 2025.</div><div></div><div><br>
#BIC</div><div>
#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>

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