applications scientist

Riverlane

<div>Boston, MA USA | Full-time | Permanent
Salary: $135,000 - $158,000 DOE + bonus + equity
Location note: Please note that while Boston, MA is the preferred location for this position, we can also consider the role to be based in the states of Washington or New York &ndash; please state your preferred working location in your cover letter.
We also have a very similar UK-based opening for this position in our Cambridge, UK office. Please see our separate, Cambridge, UK job posting for more details.
Compensation note: The salary range for this role is broad as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements.
About us
Riverlane&rsquo;s mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world&rsquo;s most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It&rsquo;s a complex problem that requires a range of skills, talent and passion.
We recently raised $75M in Series C funding to accelerate our cutting-edge R&amp;D in quantum error correction (QEC), and are partnering with many of the world&rsquo;s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We&rsquo;re making remarkable progress and growing fast. 
About the role
As quantum computing enters a new phase&mdash;the &lsquo;QEC era&rsquo;&mdash; marked by significant advancements in quantum error correction, Riverlane&rsquo;s customers are integrating Deltaflow with their existing quantum computing control systems, and demonstrating the first steps toward error-correcting capability.
We&rsquo;re excited to launch this fantastic QEC Applications Scientist opportunity, which will play a critical role in the QEC journey for our customers and partners.
Working closely with Riverlane&rsquo;s customers and leveraging the learnings from our work with varied quantum computing systems, you will be instrumental in supporting each customer to achieve their first QEC results. 
What you will do
As QEC Applications Scientist, you will be responsible for supporting Riverlane&rsquo;s customers and partners on their QEC experimental journey, starting from their first QEC results. As Riverlane works with many different partners, across all qubit types, you will gain exposure to different qubit architectures, and their respective QEC considerations.
Using these insights, along with your background in quantum computing and quantum error correction, and your proven track record of publications in quantum computing, you will accelerate the progress of Riverlane&rsquo;s customers and partners toward fault-tolerance.
In this role, you will:<ul><li>
Enable our North America-based customers (predominantly US) with varied qubit architectures to achieve successful QEC demonstrations using Riverlane&rsquo;s quantum error correction system (Deltaflow)</li><li>
Use Deltaflow and Riverlane&rsquo;s software tools for rapid QEC experiment prototyping in collaboration with our customers</li><li>
Present QEC integration and experimentation results externally, including at conferences and through publications (and other relevant avenues)</li><li>
Influence Deltaflow&rsquo;s product development by advocating for the needs of our customers</li><li>
Work with stakeholders across Riverlane to influence the creation of educational content that can accelerate a new QEC customer&rsquo;s journey</li><li>
Champion a culture where Riverlane shares the QEC success stories of customers to benefit the wider QEC community</li></ul>
Requirements
What we need<ul>
<li><ul><li>Master&rsquo;s or PhD in Electrical Engineering, Computer Science, experimental physics (or related field)</li></ul></li>
<li><ul><li>Proven experience with quantum error correction or related research and experimentation experience (in industry or academia)</li></ul></li>
<li><ul><li>Proven experience with computational tools for scientific research in quantum computing (or related field)</li></ul></li>
<li><ul><li>Familiarity with qubit architectures and considerations for NISQ and QEC experiments</li></ul></li>
<li><ul><li>Ability and willingness to travel within North America (mainly the US) to customer and partner sites</li></ul></li>
<li><ul><li>Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences, in a clear and simple way</li></ul></li>
<li><ul><li>Ability to work effectively in a collaborative team environment</li></ul></li>
<li><ul><li>A passion for learning and a curious, solution-oriented mindset</li></ul></li>
</ul>Even better if you have<ul>
<li><ul><li>Strong track record of working collaboratively with research and product development teams to enable customers and partners</li></ul></li>
<li><ul><li>Experience in stim (strongly preferred) and/or other QEC tools, especially in a quantum computing experimental setting</li></ul></li>
<li><ul><li>Familiarity with quantum error correction concepts and protocols</li></ul></li>
</ul>Benefits
What can you expect from us<ul><li>
A comprehensive benefits package that includes an annual bonus scheme, private health insurance, life insurance and a contributory retirement fund.</li><li>
Equity, so that our team can share in the long-term success of Riverlane</li><li>
Generous annual leave and enhanced family leave</li><li>
A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities</li><li>
A learning environment that encourages individual, team and company growth and learning, including an annual training and conference budget.</li></ul> 
How to apply
Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.
We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. 
If you have any queries, please contact jobs@riverlane.com. 
Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.
Studies have shown that women tend to apply to jobs if they meet all or almost all of the requirements whereas men apply even if they meet only some of the requirements. If that sounds like you then please apply &ndash; we are happy to review your application and let you know if we think you might be a good fit.
If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.</div>

QEC Applications Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you passionate about revolutionizing the way people interact with video content? Do you want to be at the forefront of integrating state of the art Generative AI technologies into the entertainment experience ? Prime Video X-Ray is seeking an enthusiastic Applied Scientist II to join our team in creating delightful customer-facing features that will redefine how millions of viewers engage with movies and TV shows globally. 
 
At Prime Video X-Ray, we're re-imagining the entire entertainment landscape. Our innovative features go beyond traditional viewing, offering an immersive, interactive experience that deepens viewers' connection with their favorite shows and movies. From AI-powered X-Ray Recaps that provide engaging summaries of complex story-lines to interactive elements that bring stories to life, our features are pushing the boundaries of what's possible in streaming entertainment. 
 
We are looking for an Applied Scientist II who can work on different aspects of video content, including text metadata, video, audio, and images. You'll apply a variety of techniques in computer vision, deep learning, machine learning, and image processing algorithms to build visual understanding, metadata extraction, and curation systems. You will be contributing to a platform that processes terabytes of video content data. You'll collaborate with other scientists and engineers across Amazon to implement new technologies, prototype solutions, and help deliver an exceptional customer experience. 
 
Working closely with software development teams, you'll assist in building robust vision-based solutions for customer-facing applications. This role requires a willingness to learn and adapt in an environment where problems haven't been addressed at scale before. We value initiative and ownership. You'll have the opportunity to contribute to practical applications, working with product teams, science backend, and various other teams across the organization. Your work will directly impact millions of users, as you help develop the next generation of viewing experiences with Prime Video X-Ray. 
 
If you're eager to tackle challenging problems, work with state-of-the-art AI technologies, and make a positive impact on the future of entertainment, we want to hear from you. We guarantee that you'll learn a ton, have fun, and be part of innovation in streaming entertainment.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field</li><li>Experience building machine learning models or developing algorithms for business application</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</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 I, Prime Video Experiences Technology

Medispec (I) Ltd

Job descriptionMedispec is seeking a Field Application Scientist (FAS) to provide expert-level training, support, and application optimization for our advanced range of instruments, including Surface Plasmon Resonance (SPR), Flow Cytometers, Seahorse XF Analyzers, Imaging &amp; Multimode Microplate Readers (MMR), and iCIEF systems.This role is ideal for professionals who are passionate about cutting-edge scientific instrumentation, problem-solving, and working closely with researchers, scientists, and sales teams to drive innovation in research and diagnostics.Role and ResponsibilitiesConduct on-site training and optimization for end-users and the sales team on advanced scientific instruments.Provide scientific and technical support to customers, sales teams, and product management.Develop expert-level proficiency in instrument software and stay updated on emerging assays.Lead customer demonstrations, optimizing experimental workflows and troubleshooting assays.Assist in data generation for Application Notes on new and emerging applications.Represent Medispec at industry conferences, vendor shows, and scientific seminars.Maintain detailed reports in CRM systems to track customer interactions, training sessions, and field activities.Qualifications and ExperienceEducation and Experience:Advanced degree in Molecular Biology, Biochemistry, or a related field.Minimum two years of experience in an imaging core lab, flow cytometry lab, or high-content screening (HCS) environment.Technical Skills:Expertise in Flow Cytometers, Microscopy, Imaging, and HCS instrumentation.Strong knowledge of SPR, fluorescent imaging, widefield and confocal microscopy.Experience with fluorescence and luminescence-based assays (TRF, FRET, AlphaScreen, FP, etc.).Proficiency in image analysis software (ImageJ, CellProfiler, or similar).Strong troubleshooting skills for instrumentation and assay optimization.Advanced computer and data analysis skills, with experience in LIMS preferred.Travel Requirements: Willingness to travel up to 50% for customer training and support.Cell Biology, Cell Culture, Immunology, Cell Analysis, Cellular Metabolism, Cell Metabolism, Flow Cytometric.Job Type: Full-timePay: &#8377;40,000.00 - &#8377;80,000.00 per monthBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

Field Application Scientist

Microsoft

<div><div>Are you an Applied Scientist II passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.</div><div></div><div> 
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.</li><li>
Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.</li><li>
Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.</li><li>
Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.</li><li>
Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><div>
Required Qualifications:</div><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)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
</li><li>OR equivalent experience.</li></ul></li><li>
2+ years of industry experience in applied machine learning or data science roles.</li><li>
Proficiency in Python and ML libraries such as PyTorch or TensorFlow.</li><li>
Experience developing and evaluating generative AI models.</li><li>
Familiarity with NLP techniques and content understanding.</li></ul><div>
Preferred Qualifications:</div><ul><li>
Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.</li><li>
Ability to tackle open-ended problems and deliver practical, scalable solutions.</li><li>
Experience deploying ML models in production environments.</li><li>
Exposure to full product lifecycle from prototyping to deployment and iteration.</li><li>
Contributions to research publications, patents, or open-source projects.</li></ul><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>

Applied Scientist II

Thermo Fisher Scientific

<div>
 
 Work Schedule
 
 
 
 Standard (Mon-Fri)
 
 
 
 Environmental Conditions
 
 
 
 Office, Various outside weather conditions
 
 
 
 About Company:
 
 Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.
 
 
 
 Role &amp; Responsibilities:
 
 
 
 Join our Single Use Division as a Field Application Scientist to integrate brand new technology into field operations, providing top-tier technical support and excellent customer service to help clients reach their goals by optimizing Single-Use Systems technologies.
 
 
 <ul>
 <li>
 Acting as primary field technical interface between the Commercial Sales team and clients, with a specific emphasis on Single-Use products such as BioProcess Containers (BPCs), Single-Use Bioreactors, Fermenters, and Mixing systems.
 </li>
 <li>
 Provide effective solutions in design, development, optimization, consultation, technical support, and troubleshooting of Single-Use systems.
 </li>
 <li>
 Present top-quality technical demonstrations to enhance Commercial Sales initiatives.
 </li>
 <li>
 Lead discussions on technical product specifications and applications with clients and prospects.
 </li>
 <li>
 Support with customer surveys, inquiries, User Requirements Specifications (URS), and product briefs.
 </li>
 <li>
 Conduct process mapping activities and recommend process improvements using Thermo Fisher Scientific's technologies.
 </li>
 <li>
 Apply inter-company experts and resources to suggest technical applications and process development studies.
 </li>
 <li>
 Inform Marketing and Product Management of new technologies that could boost our existing range.
 </li>
 <li>
 Provide the necessary voice of the customer (VOC) to Product Management for all products and services.
 </li>
 <li>
 Keep abreast of market trends, competitors, and innovations, ensuring relevant information is shared within the organization.
 </li>
 <li>
 Lead engaging training sessions and workshops focusing on the applications and capabilities of Single-Use products and systems.
 </li>
 <li>
 Assist in Commercial Sales operations through offering technical assistance to customers and troubleshooting products.
 </li>
 <li>
 Support in addressing customer concerns and inquiries by furnishing essential technical information and feedback to pertinent departments.
 </li>
 <li>
 Aim to surpass performance goals related to Knowledge Culture Seminars, GEMBA Walks, Demos/Evaluations, New Product Introductions (NPI), and Trainings.
 
 
 </li>
 </ul>
 
 Minimum Requirements/Qualifications:
 
 
 
 <ul>
 <li>
 Postgraduate degree in Life Sciences, Biotechnology, or Biosciences with 6-12 years of relevant experience in the Bioprocess Industry.
 </li>
 <li>
 Detailed working knowledge of Single Use Systems and technologies.
 </li>
 <li>
 Good understanding of processes and applications used within the Bio-pharmaceutical, Biotech, and vaccine industries.
 </li>
 <li>
 Proven operational hands-on and technical experience with Single Use technologies.
 </li>
 <li>
 Comprehensive knowledge of cGMP and other regulatory guidelines.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Ability and willingness to work across professional and cross-functional teams.
 </li>
 <li>
 Preferred project management skills with the ability to multi-task effectively.
 </li>
 <li>
 Highly motivated, self-directed, and capable of working on multiple projects with minimal supervision.
 </li>
 <li>
 Excellent team-working skills.
 </li>
 <li>
 Above-average computer skills, including experience with Microsoft Office (Word, Excel, PowerPoint, and Project).
 </li>
 <li>
 Willingness to travel up to 60% of the time and operate from a remote home-base location.
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 
 We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
 
 
 
 ThermoFisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status
 
 
</div>

Field Application Scientist - Single Use Division

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ 
 
About Us: 
 
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. 
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. 
 
interviewing tips on Instagram, and discover projects we're solving on our Blog. 
 
About the Role 
 
We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they&rsquo;ll love. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities. 
 
You will report to the Applied Science Manager on the Community Discovery Team. 
 
You can work in San Francisco, CA or Seattle, WA.
 
 
You Will 
 
<ul><li>Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.</li><li>Collaborate with senior scientists and engineers to deploy ML code in production.</li><li>Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, in order to determine the ML solution (algorithm and pipeline) that will have the biggest impact on our user base in the real world.</li><li>Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community.</li></ul> 
Perks 
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.</li><li>Hands-on experience with predictive modeling and analysis to solve real-world problems.</li><li>Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.</li><li>Experience shipping your models to production.</li><li>1+ years of experience working in recommendations or search.</li><li>Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.</li><li>Familiarity with Twitch, its business, and its community.</li></ul> 
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
 
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

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
 
 
The principal scientist in this position will focus on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. Our team utilizes leading-edge science and engineering technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational interfaces. We also empower advertisers to reach shoppers, using their own voice to explain how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. 
 
Key job responsibilities 
As a Principal Applied Scientist for the team, you will drive appropriate technology choices for the customers and the business, lead the way for continuous innovation, and shape the future of e-commerce. You will have opportunity to apply your deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production to power novel conversational experiences. You will stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will contribute to defining a long-term science vision for our advertising business in the area of conversational shopping and beyond.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Statistics or related field.</li><li>10+ years of applied ML experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.</li><li>Hands-on experience with designing and prototyping AI solutions for real world applications.</li></ul><h2 class="jobSectionHeader"> 
PREFERRED QUALIFICATIONS</h2><ul><li>Research publications or patents in generative AI technologies</li><li>Experience with natural language processing and generative model architectures</li><li>Background in advertising technology or e-commerce platforms</li><li>Demonstrated track record of innovative AI solution development</li><li>Experience with advertising systems and applications.</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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>

Principal Applied Scientist, Amazon - Sponsored Products

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