technical applications scientist

Microsoft

<div><b>Overview</b><div><p><br>
Do you want to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You&rsquo;ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making. You&rsquo;ll collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible&mdash;empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.</p><p>
We are looking for an Applied Scientist to join our team!
</p><p>An ideal candidate has prior expertise in generative AI, software engineering skills, technical aptitude, communication skills and a collaborative working style. The scientist should focus on evaluation metrics to make purpose-built LLMs to infuse AI in productivity scenarios. Additionally, they should be comfortable with the end-to-end ML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines. As part of the role, they will also work with a globally diverse team of applied scientists and engineers who are building AI platforms, models and products. They are expected to drive growth mindset and embrace the rapidly evolving innovations and breakthroughs in this field.<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.</p></div><b><br>
Responsibilities</b><br>
<div><ul><li>
Design, plan, and execute experiments to evaluate models, datasets, and metrics for product impact.</li><li>
Define, evaluate, and assess evaluation metrics, including fairness and bias, contributing to ethical AI and privacy policies.</li><li>
Document results/progress and share findings to promote innovation.</li><li>
Conduct model and experimental evaluations including A/B testing, shadow testing, and other validation techniques.</li><li>
Implement and fine-tune neural network architectures, including transformer-based models.</li><li>
Work on frontier models to push AI innovation boundaries.</li><li>
Partner with research teams to integrate cutting-edge ML technologies into products.</li><li>
Collaborate with product and platform teams to design AI-powered experiences.</li><li>
Build and deploy ML models, develop data pipelines, and manage training/test datasets.</li><li>
Work collaboratively with cross-geo teams at flexible hours while fostering a healthy and inclusive environment.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</li><li>
OR equivalent experience.</li></ul></li></ul><p><b>
Other Requirements: </b>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:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the</li><li>
Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
3+ years of experience working with machine learning libraries to solve real world data science problems</li></ul><p><b>
Skills</b>:</p><ul><li>
Proficiency in Python, scripting, AI efficiency tools.</li><li>
Experience in large language model architectures (e.g. Transformer, etc).</li><li>
Strong foundation in classical machine learning techniques and statistics.</li><li>
Prior experience in model and experimental evaluations like A/B testing, shadow testing etc.</li><li>
Experience handling real-world noisy data.</li><li>
Demonstratable experience with software engineering principles, parallel/distributed computing, and cloud technology platforms (e.g. Azure etc.)</li><li>
Proficiency with object-oriented programming practices.</li></ul><p>
 <b>Problem-Solving:</b></p><ul><li>
Ability to understand complex business contexts and solve open-ended problems.</li><li>
Proactive mindset focused on optimizing solutions for business impact.</li></ul><p></p><p><br>
#BICJobs</p><br>
<p></p>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Applied Sciences IC3

Bioport Solutions

<p>We are seeking a motivated <b>Scientist/ Senior Application Scientist (Biotechnology)</b> to join our <b>Product Development Team</b>. This role involves hands-on work in <b>kit preparation, ELISA, electrophoresis, DNA/protein extraction, troubleshooting</b>, and <b>client interactions</b> across India. You will contribute to developing high-quality biotech kits while providing on-site technical support to clients.</p><p><b>Key Responsibilities</b></p><p><b>Laboratory Work &amp; Kit Development</b></p><ul><li>Prepare and optimize <b>biotechnology kits</b> (e.g., DNA/RNA extraction, protein purification).</li><li>Design and perform <b>ELISA assays</b>, <b>gel electrophoresis (SDS-PAGE, agarose)</b>, <b>Cell culture</b> and <b>chromatography</b>.</li><li>Conduct <b>quality control (QC) tests</b> on reagents and kits.</li><li>Troubleshoot technical issues in <b>sample processing, extraction, and assay workflows</b>.</li></ul><p><b>Documentation &amp; Compliance</b></p><ul><li>Maintain detailed records of <b>experimental protocols, QC data, and client reports</b>.</li><li>Ensure compliance with <b>ISO or other regulatory standards</b> (if applicable).</li></ul><p><b>Cross-Functional Collaboration</b></p><ul><li>Work with <b>R&amp;D, manufacturing, and sales teams</b> to refine product workflows.</li><li>Attend <b>scientific conferences, exhibitions, and networking events</b> to promote products.</li></ul><p><b>Qualifications &amp; Skills Essential:</b></p><ul><li><b>Bachelor&rsquo;s/Master&rsquo;s degree</b> in <b>Biotechnology, Biochemistry, Molecular Biology, or related field</b>.</li></ul><p>Hands-on experience with:</p><ul><li><b>DNA/RNA extraction</b> (e.g., column-based, magnetic bead kits).</li><li><b>DNA Cloning/PCR/Gene Expression</b></li><li><b>ELISA</b> (indirect, sandwich, competitive).</li><li><b>Cell Culture</b></li><li><b>Electrophoresis</b> (agarose, SDS-PAGE).</li><li><b>Protein purification</b> (affinity chromatography).</li><li>Strong <b>analytical and troubleshooting skills</b>.</li><li>Willingness to travel <b>up to 40%</b> (client visits across India).</li></ul><p><b>Preferred:</b></p><ul><li>Familiarity with <b>PCR, qPCR, or NGS workflows</b>.</li><li>Knowledge of <b>regulatory standards</b>.</li><li>Fluency in <b>English + regional Indian languages</b> (Hindi etc.).</li></ul><p>Work Place: IIDC KOSI KOTWAN, NABIPUR Mathura, Uttar Pradesh, 281403</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹9,154.29 - ₹20,000.00 per month</p><p>Work Location: In person</p>

Scientist/Senior Application Scientist (Biotechnology)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We're seeking an Applied Scientist to lead and innovate in applying advanced AI technologies that will reshape how businesses sell on Amazon. Our team is passionate about leveraging Machine Learning, GenAI, and Agentic AI to help B2B sellers optimize their operations and drive growth.<br>
<br>
Join Amazon Business 3P (Third Party - Sellers) - a rapidly growing global organization where we innovate at the intersection of AI technology and B2B commerce. We're reimagining how sellers reach and serve business customers, creating intelligent solutions that help them grow their B2B business on Amazon. From AI-powered Seller Central tools to smart business certifications, dynamic pricing capabilities, and advanced analytics, we're transforming how B2B selling happens.<br>
<br>
As an Applied Scientist II on our AB 3P Tech team, you'll drive the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning. You'll work with highly technical, entrepreneurial teams to:<br>
<ul><li>Design and implement AI models that power the B2B selling experience</li><li>Lead the development of GenAI products that can handle Amazon-scale use cases</li><li>Drive research and implementation of advanced algorithms for human feedback and complex reasoning</li><li>Make strategic AI technology decisions and mentor technical talent</li><li>Own critical AI systems spanning from Seller Central to Amazon Business detail pages</li></ul><br>
Join us in shaping the future of B2B selling - we're building applied AI solutions that businesses love and trust for their day-to-day success. If you are scrappy and bias for action is your favorite Leadership Principle, you'll fit right in as we innovate across the seller experience to create significant impact in this fast-growing business.<br>
<br>
Key job responsibilities<br>
Key job responsibilities:<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Communicate results and insights to both technical and non-technical audiences</li></ul><br>
About the team<br>
At Amazon Business Third Party (AB3P) Tech, we're revolutionizing B2B e-commerce by empowering sellers in the business marketplace. Our scope spans the complete B2B selling journey, from Seller Central to Amazon Business detail pages, cart, and checkout for merchant-fulfilled offers.<br>
<br>
Our entrepreneurial culture and global reach define us. We develop features across seller experience, delivery, certifications, fees, registration, and analytics, collaborating with worldwide teams and leveraging advanced AI technologies to continuously innovate. Working in true Day 1 spirit, we build next-generation solutions that shape the future of B2B commerce.<br>
<br>
Join us in building next-generation solutions that shape the future of B2B commerce.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
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, Amazon Business 3P

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you fascinated by the power of Large Language Models (LLM) and Artificial Intelligence (AI) to transform the way we learn and interact with technology? Are you passionate about applying advanced machine learning (ML) techniques to solve complex challenges in the cloud learning space? If so, AWS Training &amp; Certification (T&amp;C) team has an exciting opportunity for you as an Applied Scientist.<br>
<br>
At AWS T&amp;C, we strive to be leaders in not only how we learn about the latest AI/ML development and AWS services, but also how the same technologies transform the way we learn about them. As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences in our Skill Builder platform for both new learners and seasoned developers. You will be a part of a global team that is focused on transforming how people learn. The position will interact with global leaders and teams across the globe as well as different business and technical organizations.<br>
<br>
Join us at the AWS T&amp;C Science Team and become a part of a global team that is redefining the future of cloud learning. With access to vast amounts of data, exciting new technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the ways how worldwide learners engage with our learning system and builders develop on our platform. Together, we will drive innovation, solve complex problems, and shape the future of future-generation cloud builders.<br>
<br>
Please visit https://skillbuilder.awsto learn more.<br>
<br>
Key job responsibilities<br>
<ul><li>Apply your expertise in LLM to design, develop, and implement scalable machine learning solutions that address challenges in discovery and engagement for our international audiences.</li><li>Collaborate with cross-functional teams, including software engineers, data engineers, scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.</li><li>Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance operational performance and customer experiences across Skill Builder.</li><li>Continuously explore and evaluate state-of-the-art techniques and methodologies to improve the accuracy and efficiency of AI/ML systems.</li><li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.</li></ul><br>
About the team<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li><li>Master's degree or above in computer science, machine learning, engineering, or related fields</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Skill Builder, AWS Training and Certifications

InMobi

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><h3 class="jobSectionHeader"><b>
Overview of the role:</b></h3>
<div>
We are looking for a <b>Staff Applied Scientist I</b> to join our algorithmic and research science team. You&rsquo;ll work on mathematically rigorous, research-driven problems at production scale, while also shaping the direction of key initiatives and mentoring other scientists. This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact. Specifically, our scientists tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, along with their practical applications. We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions.</div>
<div>
As the heart of the InMobi Exchange, our team optimizes the company&rsquo;s core business functions and creates the strategic moat that sets us apart in the market. As a Staff Scientist, you will not just &ldquo;use models&rdquo;&mdash;you will formulate them, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production&mdash;while providing thought leadership to the broader team. Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality.</div>
<div>
If you thrive on solving complex, high-impact problems and want to see your ideas shape the future of a global exchange, this is the place where your work will truly make a difference.</div>
<p></p>
<h3 class="jobSectionHeader"><b>The impact you'll make:</b></h3>
<ul>
<div><div>Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.</div>
</div>
<div><div>Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling&mdash;in non-stationary, adversarial environments.</div>
</div>
<div><div>Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks).</div>
</div>
<div><div><b>Provide technical leadership by reviewing scientific approaches, mentoring junior scientists, and guiding the team toward robust methodologies.</b></div>
</div>
<div><div>Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics.</div>
</div>
<div><div>Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems.</div>
</div>
<div><div>Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies.</div>
</div>
<div><div>Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.</div>
</div>
<div><div>Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior.</div>
</div>
</ul><p></p><h3 class="jobSectionHeader"><b>The experience we need:</b></h3>
<ul>
<div><div>Ph.D. (preferred) or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline.</div>
</div>
<div><div><b>7&ndash;10 years of experience</b> working on algorithmic or applied research problems, including significant production deployment experience.</div>
</div>
<div><div>Deep grounding in one or more of:</div>
<ul>
<div><div>Statistical learning theory, mathematical optimization, discrete algorithms, probability theory, and information theory</div>
</div>
<div><div>Causal inference, decision theory, game theory, auction theory</div>
</div>
<div><div>Online learning, bandits, RL, Bayesian methods</div>
</div>
</ul></div><div><div>Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus&mdash;even if not recent.</div>
</div>
<div><div>Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.</div>
</div>
<div><div>Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.</div>
</div>
<div><div>A researcher&rsquo;s mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation.</div>
</div>
<div><div>End-to-end ownership: you can go from idea to production and thrive in applied settings.</div>
</div>
<div><div>Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required.</div>
</div>
</ul></div><div><div><b>The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Staff Applied Scientist I

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!<br>
<br>
At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.<br>
<br>
Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Hyderabad office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words, Images, Subtitling etc annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.<br>
<br>
Key job responsibilities<br>
<ul><li>Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce space.</li><li>Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.</li><li>Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.</li><li>Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation-related systems.</li><li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.</li></ul><br>
About the team<br>
We are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.<br>
<br>
Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.<br>
Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 3+ 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"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
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, Translation Services

Cytiva

<div>
 <strong>
  Bring more to life.
  <br/>
  <br/>
 </strong>
 Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
 <br/>
 <br/>
 At Cytiva, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.
 <br/>
 <br/>
 You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.
 <br/>
 <br/>
 Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
 <br/>
 <br/>
 At Cytiva you will be able to continuously improve yourself and us &ndash; working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
 <br/>
 <br/>
 Learn about the Danaher Business System which makes everything possible.
 <br/>
 <br/>
 The R&amp;D team at Cytiva is responsible for the design, development, test, verification and validation of Cytiva&rsquo;s instruments and technology solutions across the bioprocess continuum.
 <br/>
 <br/>
 As a
 <strong>
  Scientist
 </strong>
 with the India R&amp;D team, you will perform hands-on laboratory work to establish the products under development meet intended use. You are also expected to support efforts to analyze and provide innovative solutions to address our customer needs.
 <br/>
 <br/>
 This role requires strong scientific and technical expertise in upstream technologies, specifically to run cell cultures and operate bioreactors. Knowledge of process development and scaling strategies will be advantageous.
 <br/>
 <br/>
 This position reports to the
 <strong>
  Manager &ndash; Applied Sciences
 </strong>
 and is part of the
 <strong>
  Central Technology Organization (CTO) R&amp;D department
 </strong>
 located in
 <strong>
  Bangalore
 </strong>
 . It will be an on-site role.
 <br/>
 <br/>
 <strong>
  What Will You Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Serve as the technical bridge between users and the engineering team helping translate user requirements to system specifications and helping validate that the finished products meet intended-use.
  </li>
  <li>
   Plan, design and execute upstream experiments (cell culture, bioreactor operations), to test technology hypotheses.
  </li>
  <li>
   Undertake experimental optimization of process parameters for robustness and scalability.
  </li>
  <li>
   Analyze data using standard techniques; prepare clear reports to meet requirements of our quality management system
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in Biotechnology, Biochemical Engineering, or related field.
  </li>
  <li>
   3+ years of hands-on experience in upstream bioprocessing, preferably in a biopharmaceutical manufacturing or life sciences product development environment.
  </li>
  <li>
   Familiarity with cGMP guidelines and laboratory safety practices.
  </li>
  <li>
   Passion for hands-on lab work and upskilling to emergent technologies.
  </li>
  <li>
   Ability to solve straightforward problems independently.
  </li>
  <li>
   Good communication skills and ability to work effectively in a cross-functional team environment.
   <br/>
   <br/>
  </li>
 </ul>
 Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
 <br/>
 <br/>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 <br/>
 <br/>
 For more information, visit www.danaher.com.
</div>


Scientist - Upstream Technologies

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