applications scientist

Microsoft

<div>Overview<div> 
Are you looking to work on cutting-edge large-scale AI services that can power the next-gen AI search? Are you passionate about Deep Learning and latest AI technologies light up those scenarios?
Our team uses latest NLP deep learnt models to prepare Grounding data for AI search efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team.
We are looking for a Applied Scientist II who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works.
As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office.
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.</div> 
Responsibilities<div> 
We are looking for a motivated, self-driven Applied Scientist II to join our mission. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLP related engineering problems.
Your responsibilities include:<ul><li>
Developing novel machine learning and data mining algorithms.</li><li>
Designing and developing solutions that respond in real time.</li><li>
Build data quality checks and re-usable modules for the training.</li><li>
Host ML models with production-ready code.</li><li>
Designing and executing offline/online experiments.</li><li>
Advancing the state of the art of NLP technologies for real world scenarios.</li><li>
Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.</li></ul></div> 

Qualifications<ul><li> 
Required Qualifications:
<ul><li>Master&rsquo;s/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining.</li><li>
3-6 years of professional experience applying Deep learning, Machine Learning concepts in real world applications.</li><li>
Excited to work as part of diverse team and collaborate across geographies.</li><li>
Outstanding communication and collaboration skills.</li></ul>
Preferred Qualifications:<ul><li>
Strong research and/or development experience with machine learning, NLP and data mining.</li><li>
Experience in architecting, developing, and delivering advanced NLP projects is a strong plus.</li><li>
Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.</li><li>
Fantastic problem solver: ability to solve problems that the world has not solved before.</li><li>
Proven track record on shipping products/services with high quality.</li></ul></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>

Applied Scientist II

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated AI solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. 
 
The Applied Scientist will contribute to the development of Agentic AI solutions leveraging Gen AI. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. 
 
Key job responsibilities 
<ul><li>Design and implement solutions that extend or adapt scientific approaches for customer needs</li><li>Deliver components into production that meet high quality standards (efficient, reproducible, testable code)</li><li>Produce science outputs demonstrating correctness, scholarship, and scientific rigor</li><li>Work with product, engineering, and science teams to deliver impactful AI features</li><li>Contribute to operational excellence in the team's deliverables</li></ul> 
About the team 
AWS Solutions 
 
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building machine learning models or developing algorithms for business application</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. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 172,400.00 - 223,400.00 USD annually 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, AWS Applied AI Solutions

Novonesis

<div>Are you ready for a new beginning?
We need your talent, knowledge and dedication to better our world with biology.
Our purpose points the way
In Novonesis, we know that solutions rooted in biology can help solve humanity&rsquo;s biggest challenges. Since we began more than a century ago, this has been our guide. It&rsquo;s how we've gotten so far. And it&rsquo;s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless.
We&rsquo;re here to better our world with biology.
<h2 class="jobSectionHeader">Application Scientist - Biofuels 
</h2> 
Welcome to our MEIA Technical Services and Innovation team for Bioenergy and Distilling
 
 
You will become part of our Bioenergy Innovation team, collaborating closely with our colleagues in Sales &amp; Marketing to provide world class scientific and technical support to deploy innovative solutions to our customers in Bioenergy and Distilling space.
 
 
We are looking for a highly motivated Application Scientist to be a key part of the Biofuels Innovation team. In this role, you will help grow our MEIA Bioenergy business by supporting global and regional launches of new innovative yeast and enzyme solutions, end to end from Lab scale Proof of Concept to Plant scale Proof of Application. For an ambitious individual looking to further their career in Bioenergy, this is a fantastic opportunity to work in a highly innovative company and leading market presence that makes it possible to get great things done.
 
 
In This Role You&rsquo;ll Make An Impact By
 
 
Collaborating with our customers to realize the implementation of new bio-solutions like new generation of Yeast and Enzymes, that pushes the boundary of ethanol plant performance in terms of yield, byproducts value addition and plant efficiencies. Working alongside ITS colleagues and Account managers, you will play a pivotal role in comprehending customer needs and processes to deliver world class innovation relevant for the region. This role offers the chance to enhance your expertise in novel technologies and expand your industry network while making a meaningful impact on the organization and those around you with your valuable insights.
 
 
To Succeed You Must Hold 
 
Strong scientific skills based on a university degree in Chemistry, Chemical / Industrial / Biotech / Bioprocess Engineering or related.
M.Sc. or Ph.D degree is a clear asset, but not essential
Relevant experience in Bioenergy, corn-ethanol or cellulosic ethanol (E2G) industry. Experience within enzyme and yeast applications in Bioenergy
Knowledge of lab scale fermentation protocols and experience in plant scale fermentation
Experience with design of experiments (DOE) analyzing data and a basic understanding of programming to develop Proof of Concepts
Ability to translate technical insights and data into customer-relatable values
Excellent communication skills to engage with customers and internal stakeholders
Willingness to work in industrial scale and field based environment for demonstrating Proof of Applications
A flair for providing technical training &ndash; internally as well as externally
Excellent interpersonal, written, and verbal communication skills.
Fluency in written and spoken English and Hindi
Ability to travel extensively, mainly within MEIA region 
 
Location:
 
 
This job will be located in Bangalore, India. 
 
Could our purpose be yours? Then apply today!
At Novonesis we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We recommend you not to attach a cover letter to your application. Instead, please include a few sentences in your resume/CV about why you are applying. To ensure a fair recruitment process, please refrain from adding a photo in your resume/CV.
 
 
Novonesis is dedicated to fostering a unique community by embracing and respecting differences. We make all employment decisions based on business needs, ensuring that every individual can thrive, regardless of identity or background such as ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.
 
 
Want to learn more?
 
Learn more about Novonesis, our purpose, and your career opportunities at novonesis.com
 
 
Not the right fit for you?
 
Even if this job isn't the right fit for you, perhaps you know someone who might find it interesting. If so, please feel free to share the job link and encourage them to apply. Thank you for your referral! Please check out our other open positions. The right fit for you could just be a few clicks away.
Stay alert: Avoid recruitment scams
 
At Novonesis, we are committed to maintaining a safe and transparent recruitment process. Please be aware of potential scams targeting job seekers and take note of the following:
<ul><li>Novonesis will never ask for sensitive personal information, such as bank account details, Social Security numbers, or passwords, at any stage of the hiring process.
</li><li>Novonesis does not make employment offers without conducting interviews with candidates.
</li></ul>If you receive suspicious communication claiming to be from Novonesis, please do not share any personal or financial information. We encourage you to verify the legitimacy of the message by contacting us directly through our official channels.</div>

Application Scientist

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering AI-powered solutions that transform how advertisers make strategic decisions. We deliver billions of ad impressions and process massive volumes of advertiser data every single day. You'll work with us to pioneer breakthrough approaches in how AI agents access and reason over real-time advertiser data at scale. 
 
We are using generative AI and agentic systems to help advertising agents provide instant, strategic advice to millions of advertisers. You will need to invent new techniques for agent orchestration, context optimization, and code generation to ensure we're delivering accurate, trustworthy insights with minimal latency and token consumption. You'll create feedback loops to ensure our solutions are constantly evaluating themselves and improving. 
 
The Ads Real-Time Data Service team is seeking an exceptional Applied Scientist to research and develop novel approaches for agent-data interaction. The Ads Real-Time Data Service team is solving one of the most critical challenges in advertising AI: instant access to advertiser context. We're building the infrastructure that provides immediate, pre-computed access to advertiser data via Model Context Protocol (MCP) servers&mdash;an emerging standard for AI agent-data interaction. We're building summarized data for context using a mix of state of the art techniques like CodeAct and RAG-based embeddings, achieving a fundamental transformation in how AI agents interact with data. 
 
This role balances applied research (60%) with productionization (40%), giving you the opportunity to both advance the state of the art and see your innovations deployed at Amazon scale. 
 
Key job responsibilities 
Agent Orchestration &amp; Optimization Research 
<ul><li>Research and develop novel algorithms for agent-data interaction patterns that minimize latency, token consumption, and error rates</li><li>Design and implement CodeAct pattern variations enabling agents to write and execute analytical code in isolated sandboxes</li><li>Investigate multi-agent orchestration strategies for complex advertiser queries requiring data from multiple sources</li><li>Develop techniques for automatic query optimization and caching strategies based on agent behavior patterns</li></ul> 
Large Language Model Context &amp; Token Optimization 
<ul><li>Invent new methods for compressing advertiser context representations while preserving semantic meaning and analytical utility</li><li>Research optimal metadata generation techniques that help large language models understand and reason over structured advertiser data</li><li>Design experiments to measure the impact of different data representations on agent response quality and token efficiency</li><li>Develop adaptive context selection algorithms that dynamically choose relevant data based on query intent</li></ul> 
RAG-Based Embeddings &amp; Semantic Search 
<ul><li>Pioneer new RAG-based embedding approaches optimized for real-time advertiser data delivery with sub-second latency</li><li>Research and implement semantic search and retrieval techniques for advertiser datasets using vector embeddings</li><li>Design advertiser context frameworks that enable automatic schema mapping from advertiser concepts to data representations</li><li>Develop evaluation frameworks to measure performance across dimensions of latency, accuracy, and developer experience</li></ul> 
Experimentation &amp; Productionization 
<ul><li>Design and execute rigorous experiments comparing traditional API orchestration versus CodeAct patterns and RAG-based approaches across metrics like success rate, latency, token consumption, and response quality</li><li>Analyze large-scale advertiser interaction data to identify patterns, bottlenecks, and optimization opportunities</li><li>Collaborate with engineering teams to productionize research innovations and deploy them to advertising agents and skills</li><li>Establish evaluation metrics and benchmarks for agent-data interaction performance</li></ul> 
A day in the life 
You start your morning analyzing experiment results from overnight runs comparing three evaluations for different RAG-based embedding approaches. The data shows that one of the embedding pattern is returning a significant improvement in accuracy. You create a spec file with the findings and start drafting a technical paper to be shared with Amazon AI forume. 
 
Mid-morning, you're in a design session with the engineering team discussing how to optimize RAG-based embeddings for semantic search over advertiser data. You propose using a hybrid approach combining dense and sparse embeddings to represent campaign metadata, enabling agents to find relevant campaigns through natural language queries while maintaining sub-second latency. You sketch out the architecture and discuss trade-offs between embedding model size, search latency, and accuracy. 
 
After lunch, you dive into advertiser interaction logs from advertising agents and skills. You're looking for patterns in how advertisers ask questions about their campaigns. You discover that 60% of queries follow a similar structure: filter campaigns by criteria, aggregate metrics, and compare to benchmarks. This insight leads you to design a new pre-computation strategy using RAG-based embeddings that could reduce query latency by 40%. 
 
In the afternoon, you collaborate with an Applied Scientist from an advertising agent team. They're seeing inconsistent results when agents try to calculate complex metrics across multiple campaigns. You investigate and discover the issue is related to how the agent interprets the advertiser context. You propose enriching the RAG-based embeddings with richer metadata descriptions and run experiments showing this improves calculation accuracy from 85% to 98%. 
 
Late afternoon, you're prototyping a new approach for adaptive context selection using RAG-based embeddings with the spec file you generated earlier. Instead of providing agents with all available advertiser data, you want to dynamically select the most relevant datasets based on query intent using semantic similarity. You build a quick proof-of-concept and test it on historical queries. The results are promising: 30% reduction in tokens with no loss in response quality. 
 
About the team 
The Ads Real-Time Data Service team is a highly motivated, collaborative and fun-loving group of engineers building the foundational platform for Amazon's advertising AI future. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. Our team operates at the intersection of real-time data engineering, AI agent infrastructure, and distributed systems engineering&mdash;solving problems that directly impact how millions of advertisers interact with Amazon's advertising products. 
 
We value technical excellence, customer obsession, and sustainable engineering practices. Our team includes engineers with diverse backgrounds in distributed systems, real-time data processing, AI/ML infrastructure, and platform engineering. We celebrate innovation (patent submissions encouraged), knowledge sharing (weekly tech talks), and continuous learning. We maintain a sustainable pace with minimal on-call burden, flexible work arrangements, and a strong focus on work-life balance. We're at the forefront of AI-assisted development, using tools like Kiro to accelerate our development cycles from weeks to days.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist II, Ads AI Core Infrastructure

FORMULATRIX

<div>
 
 
 
 ABOUT THE COMPANY:
 
 
 
 
 Headquartered in Dubai, Formulatrix is a rapidly expanding provider of robotic automation solutions serving top-tier pharmaceutical companies and research institutions globally. Established initially as a software enterprise in 2002, Formulatrix has evolved into a prominent leader offering comprehensive hardware and software solutions for protein crystallization and laboratory automation. Alongside our protein crystallization instrumentation, we have developed proprietary microfluidic liquid- dispensing technology and TFF-based protein concentration technology, boasting a widespread global presence with offices across the United States, Europe, Asia, and Australia.
 
 
 
 
 
 
 
 ABOUT THE POSITION:
 
 
 
 
 We are seeking diligent, dedicated, and dynamic individuals to join our
 
 Lahore, Pakistan office
 
 as an
 
 Application Scientist
 
 . This role aims to increase our sales and marketing capabilities to help drive sales for our Filtration product line. This is an excellent opportunity to directly apply your laboratory experience to developing markets within the life science industry. This position requires someone who is customer-focused, hands-on, organized, detail-oriented, and able to work in a fast-paced environment. The ideal candidate will have excellent communication, cross-group collaboration, and planning skills. Candidates must work well independently, with a global team, and directly with customers.
 
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Outline, plan, and create collaborative technical publications that highlight how our automation solutions solve a problem for researchers and fit within their workflows.
 </li>
 <li>
 Create training materials, Webinars, and App notes, and conduct lessons on relevant scientific applications for sales, marketing, and engineering teams.
 </li>
 <li>
 Establish relationships with customers to better understand their needs and how our solutions may assist.
 </li>
 <li>
 Collaborate with Product Managers to establish a laboratory to conduct small scientific experiments using our automation solutions.
 </li>
 <li>
 Collaborate with clients and the marketing team to conduct online webinars on relevant scientific applications.
 </li>
 <li>
 Research and create competitive product reports and training materials.
 </li>
 <li>
 Support the sales team with customer inquiries about relevant scientific applications.
 </li>
 <li>
 Some domestic and international travel may be required.
 </li>
 <li>
 Ability to work with a global team spanning multiple time zones.
 </li>
 </ul>
 
 
 
 
 
 
 REQUIREMENTS:
 
 
 
 <ul>
 <li>
 MS with 5 years of experience/PhD in Biological Sciences. Experience with TFF systems will be preferred.
 </li>
 <li>
 Wet lab experience is mandatory.
 </li>
 <li>
 Excellent presentation, verbal and written English communication skills.
 </li>
 <li>
 Hands-on experience with laboratory automation is a plus.
 </li>
 <li>
 Publication in a peer-reviewed journal is a plus.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work with customers and peers from around the world with opportunities to travel.
 </li>
 <li>
 Expand your professional network with peers, clients, and their connections.
 </li>
 <li>
 A fast growing, stable and profitable company since 2006 with no layoffs.
 </li>
 <li>
 Casual and relaxed atmosphere with activities like indoor games, team building activities, professional development lunches and more.
 </li>
 <li>
 Enjoy numerous employee benefits, including retirement plans and health coverage for the employee and their family.
 </li>
 </ul>
 
 
</div>

Rubix Foods

<div>
 
 
 
 About the Role
 
 
 
 
 
 
 
 The Product Development Scientist is responsible for the formulation, application testing, and customer-facing technical support of emulsified sauces, including aiolis, fluid icings, and glazes. This role bridges formulation science with real-world manufacturing and customer applications, ensuring products meet functional, sensory, safety, and shelf-stability requirements while supporting customer customization and commercialization.
 
 
 
 
 
 The ideal candidate is knowledgeable in raw material selection, has a strong understanding of ingredient functionality and interactions, has commercial experience is cold blended sauce related fields, and has the ability to translate technical concepts into practical customer solutions.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 Product Formulation &amp; Development
 
 
 
 
 
 <ul>
 <li>
 Develop and optimize formulas for aiolis, cold-blended emulsified sauces, fluid icings, and glazes.
 </li>
 <li>
 Apply knowledge of emulsion systems, viscosity control, texture, flavor delivery, and appearance.
 </li>
 <li>
 Select and optimize ingredients based on functionality, cost, labeling, and processing constraints.
 </li>
 <li>
 Understand and manage ingredient interactions impacting stability, flavor, texture, and shelf-life.
 </li>
 </ul>
 
 
 
 
 
 Application Testing &amp; Validation
 
 
 
 
 
 <ul>
 <li>
 Conduct bench-top, pilot-scale, and application testing to validate formula performance.
 </li>
 <li>
 Troubleshoot formulation and processing issues related to shear, temperature, pH, and processing variability.
 </li>
 </ul>
 
 
 
 
 
 Customer Collaboration &amp; Technical Support
 
 
 
 
 
 <ul>
 <li>
 Present product applications and formulations to customers, sales teams, and cross-functional partners.
 </li>
 <li>
 Work directly with customers to customize formulations based on application needs, sensory targets, labeling requirements, and processing conditions.
 </li>
 <li>
 Translate customer feedback into actionable formulation adjustments and technical recommendations.
 </li>
 </ul>
 
 
 
 
 
 Manufacturing &amp; Food Safety
 
 
 
 
 
 <ul>
 <li>
 Demonstrate working knowledge of food manufacturing equipment, including mixers, emulsifiers, pumps, and fillers.
 </li>
 <li>
 Apply Good Manufacturing Practices (GMPs) in lab, pilot, and production environments.
 </li>
 <li>
 Support scale-up from lab to production while maintaining product integrity and consistency.
 </li>
 </ul>
 
 
 
 
 
 Shelf Stability &amp; Quality Awareness
 
 
 
 
 
 <ul>
 <li>
 Understand basic microbiological principles related to shelf stability, including water activity, pH, preservatives, and process controls.
 </li>
 <li>
 Participate in or support shelf-life and stability studies, including sensory and visual evaluations.
 </li>
 <li>
 Collaborate with Quality and Food Safety teams to ensure formulations meet internal and customer standards.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Food Science, Food Engineering, or a related discipline
 </li>
 <li>
 Experience formulating emulsified sauces, icings, glazes, or similar fluid food systems
 </li>
 <li>
 Strong understanding of ingredient functionality and interactions
 </li>
 <li>
 Familiarity with GMPs and food manufacturing environments
 </li>
 <li>
 Hands-on experience with food production equipment
 </li>
 <li>
 Ability to communicate technical concepts clearly to customers and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Experience in customer-facing product development or applications roles
 </li>
 <li>
 Exposure to shelf-stable or refrigerated emulsions from a microbiological perspective
 </li>
 <li>
 Experience supporting scale-up and commercialization in a manufacturing setting
 </li>
 </ul>
 
 
 
 
 
 
 Skills &amp; Abilities
 
 
 
 
 
 
 <ul>
 <li>
 Formulation problem-solving and critical thinking
 </li>
 <li>
 Technical curiosity and independent thinking
 </li>
 <li>
 Strong organizational and documentation skills
 </li>
 <li>
 Collaborative mindset with Sales, Quality, and Operations teams
 </li>
 <li>
 Ability to balance innovation, speed-to-market, and manufacturability
 </li>
 </ul>
 
 
 
 
 
 
 About Rubix Foods
 
 
 
 
 
 
 
 Rubix Foods is a full-service product development house with end- to-end manufacturing capabilities. We blend culinary creativity, food science, and consumer intelligence to fuel innovation for the industry&rsquo;s most exciting, high-momentum brands. From concept to&nbsp;&nbsp;commercialization, we streamline and accelerate the entire product development journey &ndash; delivering white-glove service, disciplined execution, and consistent results that raise the bar every time.
 
 
 
 
 
 
 Our Vision:
 
 To be the food industry&rsquo;s first call &ndash; known for our speed, trusted for our quality, and chosen for our reliability.
 
 
 
 
 
 
 Our Mission:
 
 To solve the food industry&rsquo;s toughest problems &ndash; creatively, collaboratively, and with unrivaled speed and execution.
 
 
 
 
</div>

Product Development Scientist

<div>Overview<div> 
Come build the core of Microsoft Copilot for enterprise with the Microsoft Turing team, where you&rsquo;ll join a collaborative group pushing the frontier of large language models (LLMs) to improve the productivity of hundreds of millions of users around the world.
Turing is responsible for the core systems that power Microsoft 365 Copilot Chat, delivering intelligence, quality, and transformative new features. We work at the intersection of research and engineering&mdash;advancing orchestrator reasoning, training next-generation models, and shipping impactful, model-driven experiences in Microsoft 365 Copilot.
The Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated content spanning text, image, audio, video, and multimodal content. We are looking for an Applied Scientist to join our team and contribute to the development of scalable AI artifacts for Responsible AI identification, measurement, and mitigation across Copilot scenarios.
We are looking to hire an Applied Scientist who specializes in linguistics and Responsible AI. In this role, you will work with an interdisciplinary group of engineers, applied scientists, linguists, and product managers to ensure that the innovative products and machine learning solutions Turing delivers to tens of millions of users every month are safe and reliable. You will help design and build the socio-technical foundations that enable Responsible AI at scale. This includes risk systematization, dataset creation, and metric design. Your work will have a direct impact on product quality, user trust, and the safety of AI systems used by millions of people every day.
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> 
Responsibilities 
<div><ul><li>
Integrate linguistic concepts into Responsible AI applied science efforts.</li><li>
Master a broad research area and understand relevant research techniques.</li><li>
Act as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs.</li><li>
Review business and product requirements, incorporate research, and provide strategic direction for problem solving.</li><li>
You will also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.</li><li>
Develop scalable frameworks and resources to identify, measure, and mitigate AI risks.</li>
Build red-teaming playbooks and guidelines and datasets for risk evaluation that generalize across diverse systems, use cases, and deployment contexts. 
<li>
</li></ul></div> 
 
Qualifications 
Required Qualifications:<div><ul><li>
Bachelor's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.</li></ul></div><div>
Other Requirements:
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:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 
</div><div>
Preferred Qualifications:<div><ul><li>
Bachelor's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Master's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</li><li>
OR equivalent experience.</li></ul></li><li>
1+ years of experience putting linguistics and responsible AI principles into practice as part of a AI product team.</li></ul><div>
#msturing #msai #M365Core #repsonsibleai #turing #copilot #GenAI</div></div></div> 
 
 
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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>

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