product scientist

Nom Nom

<div>
 Nom Nom delivers delight to your dog&rsquo;s day. We&rsquo;re driven by a deep love for dogs and a commitment to their well-being, and are guided by a simple yet powerful philosophy: to provide pups with meals that mirror the devotion, attention, and care that they give us.
 
 
 Our variety of real good, feel good meals burst with vibrant ingredients and tasty textures. They&rsquo;re prepared, portioned, and packaged in our very own kitchens, and personalized all the way down to the calorie to meet the unique needs of every dog we serve. Board-certified veterinary nutritionists and world-class scientists have made sure of that, by ensuring maximum nutrition from all of our recipes while advancing dog health at large.
 
 
 Join us on our journey to push boundaries and innovate relentlessly, in order to create the most exciting dog food ever. You&rsquo;ll be part of a world where passion meets nutrition, and every tail wag is a testament to our dedication to dogs&mdash;and the people that love them.
 
 
 
 Product Development Scientist
 
 
 
 
 Department:
 
 R&amp;D
 
 
 
 Reports to:
 
 Sr. Director, Product Development
 
 
 
 Role Overview
 
 
 
 The Product Development Scientist plays a critical role in bringing new pet food innovations from concept to commercialization. This role bridges R&amp;D and Operations, ensuring that new recipes, formats, and packaging updates are successfully scaled, validated, and launched to market.
 
 
 We&rsquo;re looking for a scientist with a strong foundation in food science or food engineering who thrives at the intersection of technical problem-solving and cross-functional collaboration. You will lead product and process trials, coordinate with manufacturing partners, support product launches, and help ensure packaging changes are delivered smoothly. This is a hands-on role with room to grow into broader product development leadership over time.
 
 
 
 Key Responsibilities
 
 
 
 
 Product Development &amp; Scale-up
 
 
 
 <ul>
 <li>
 Lead benchtop, pilot plant, and production-scale trials for new products and reformulations.
 </li>
 <li>
 Partner with Operations and manufacturing partners to validate manufacturability, yields, and product quality.
 </li>
 <li>
 Document and communicate standard operating conditions and learnings from trials.
 
 
 </li>
 </ul>
 
 Launch &amp; Commercialization Support
 
 
 
 <ul>
 <li>
 Deliver R&amp;D outputs for product launches, including trial reports and technical readiness documentation.
 </li>
 <li>
 Collaborate with Marketing, Operations, and Regulatory teams to ensure seamless transition from development to commercialization.
 </li>
 <li>
 Contribute to continuous improvement of existing recipes through reformulation and process optimization.
 
 
 </li>
 </ul>
 
 Packaging Coordination
 
 
 
 <ul>
 <li>
 Serve as the R&amp;D contact for packaging changes, including artwork updates, optimization initiatives, and new pack formats.
 </li>
 <li>
 Work with Marketing, Operations, and Regulatory teams to ensure packaging meets brand, technical, and compliance requirements.
 </li>
 <li>
 Summarize and communicate packaging test results and recommendations.
 
 
 </li>
 </ul>
 
 Cross-functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Nutrition and Product Development teams to align on formulation and product performance.
 </li>
 <li>
 Partner with Pilot Plant staff to design and execute experiments.
 </li>
 <li>
 Support testing functions with data capture and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Food Science, Food Engineering, or related field.
 </li>
 <li>
 3&ndash;5 years of experience in product development, process validation, or commercialization within food manufacturing.
 </li>
 <li>
 Experience running production trials and/or working with manufacturing partners.
 </li>
 <li>
 Familiarity with packaging design, testing, or artwork coordination preferred.
 </li>
 <li>
 Strong project management and documentation skills; ability to manage multiple projects simultaneously.
 </li>
 <li>
 Excellent communication skills across technical and non-technical teams.
 </li>
 <li>
 Comfortable working in a dynamic, fast-paced environment.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 This is a unique opportunity to be at the center of innovation in fresh pet food. You&rsquo;ll gain experience across product development, scale-up, and packaging, while working in a collaborative environment that values science, creativity, and impact. For the right candidate, this role offers the chance to grow into broader product development leadership.
 
 
 Nom Nom embraces inclusion, diversity, and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Nom Nom is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
</div>

Product Development Scientist

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>

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with an advanced degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>Experience with developing machine learning models (e.g., supervised and unsupervised), launch experiments (e.g., A/B Testing), and data infra and analytics pipelines.</li>
<li>Experience in developing new models, methods, analysis and approaches.</li>
<li>Experience with classification and regression, prediction and inferential tasks, training/validation criteria for ML algorithm performance.</li>
<li>Experience in identifying opportunities for business/product improvement and defining/measuring the success of those initiatives.</li>
<li>Experience with engineers and product managers around providing product insights.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a Product Data Scientist, you will be working with multiple stakeholders across play to define metrics and deliver insightful data and analysis. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. The principal goal of your analyses will be to guide better product and business decisions. You will be responsible for translating data into meaningful interpretations and recommendations and, where relevant, implement process improvements. The metrics and analyses you develop will serve as a key input in product development and operations decision-making. You will work collaboratively across Play teams (e.g., Engineering (Eng), Product Manager (PM), UX and Commercial Operations) as well as other product teams within Google and cross-functional teams such as Legal, Finance and Marketing teams.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Guide analysis for play, focusing on product features and user experience, with the primary goal of optimizing our purchase flow and experience.</li>
<li>Partner with PM, Engineering team, and other Play teams to provide data feed, experiment design and product insights that will improve performance, and ensure proper logging and metrics are available for performance measurement.</li>
<li>Act as thought partner to produce insights and metrics for various technical and business stakeholders across play.</li>
<li>Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.</li>
<li>Develop framework and build views to measure product success and provide insights at scale.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Google Pay

Dot & Key Skincare

<div>
 
 
 Job Summary
 
 : We at Dot &amp; Key are seeking a meticulous and experienced formulation scientist to join our formulation team.
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 
 <ul>
 <li>
 End to end responsible for developing skincare and cosmetic products. Should be able to develop the products independently.
 </li>
 <li>
 Interface on all project activities starting with formulation development, sensory evaluation, manufacturing process and stability.
 </li>
 <li>
 In depth knowledge in suncare moisturizer, serum, rinse off and lip care products formulation. Should have knowledge in the latest formats and technologies in technology space.
 </li>
 <li>
 Manage the product development process from formulation to final approval.
 </li>
 <li>
 Oversee the product processing and manufacturing to maximize output.
 </li>
 <li>
 Generate and maintain a product database for substantiating claims regarding the safety and efficacy of produced products for both the national and international market.
 </li>
 <li>
 Effectively document all findings, writeups, protocols and other authorization regarding products, publication.
 </li>
 <li>
 Express a high degree of flexibility and availability.
 </li>
 </ul>
 
 
 
 
 
 Required candidate profile:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree/Master&rsquo;s degree in Chemistry/Cosmetic Technology/Chemical Engineering/ Oil technology/Pharmacology/Pharmaceutics.
 </li>
 <li>
 Experience: 4-5 years&rsquo; experience in formulation development of personal care products for e.g. sunscreen, moisturizer, lip care, serums etc.
 </li>
 </ul>
 
 
</div>

Formulation Scientist

Nutramax Laboratories

<div>
 
 
 Nutramax desires to provide a drug-free, healthful, and safe workplace. We hold a zero-tolerance policy for drug use. Employment is contingent upon successfully passing a preemployment background check and drug screen (subject to applicable law).
 
 
 
 
 
 
 
 The hours for this position are Monday - Friday 8:30am - 5:00pm.
 
 
 
 
 
 
 
 
 Summary of the Position:
 
 
 The Formulation Scientist will provide new product development, product reformulation and process improvement support to a wide range of growth/quality/cost savings projects from ideation through commercialization under direction of the Formulations/Tech Transfer Director. Additionally, this position will work with operations, quality, business teams, and other functional partners; acting as product and process development/improvement support on cross-functional new product development and quality improvement/cost savings teams.
 
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Capable of formulating moderately complex new products for soft chews, powders, tablets, capsules, pellets, and liquids.
 </li>
 <li>
 Perform bench trials, physical evaluations, and collect data to support new product development.
 </li>
 <li>
 Cooperate with PD staff in preparation/execution of pilot batches and product scale up batches and gather data to support in-process parameters and finished product specifications.
 </li>
 <li>
 Able to direct product development technicians in data collection and processing.
 </li>
 <li>
 Assist in developing new formulations for early-stage development and clinical batches.
 </li>
 <li>
 Work with new equipment/develop studies with equipment that could improve soft chew manufacturing process and/or formulation.
 </li>
 <li>
 Prepare and approve Master Batch Records, Change Control Requests for all scale up or production batches.
 </li>
 <li>
 Follow applicable cGMP processes.
 </li>
 <li>
 Compile and provide summaries of stability data.
 </li>
 <li>
 Provide Technical support to Manufacturing and Operations teams, monitor initial production batches for new and reformulated products.
 </li>
 <li>
 Provide training to manufacturing associates on new processes and process modifications/improvements.
 </li>
 <li>
 Continue education by attending expos and conferences and applying knowledge gained
 </li>
 <li>
 Communicate effectively with other departments within the organization and function within a team environment
 </li>
 <li>
 Regular attendance is required
 </li>
 <li>
 Perform other assigned duties as may be required in meeting company objectives
 </li>
 </ul>
 
 
 
 Minimum Requirements:
 
 
 
 
 &middot; Experience working with soft chew (or similar) dosage forms
 
 
 &middot; Excellent interpersonal, communication, and organizational skills
 
 
 &middot; Basic ability to define problems, collect data, establish facts, draw valid conclusions, and offer solutions.
 
 
 
 
 Education and Experience
 
 
 
 
 &middot; BS/BA in chemistry, food science, life sciences, engineering, or a related discipline, or equivalent experience.
 
 
 &middot; Must have &gt;5 years of hands-on experience in product development of food, dietary supplements or related products, including dough, confectionery, or pet treats (animal feed/animal health a plus).
 
 
 &middot; Experience in a cGMP environment with understanding of cGMP principles and requirements.
 
 
 &middot; Experience working as part of a cross functional team.
 
 
 &middot; Knowledge of animal feed regulations a plus
 
 
 
 
 
 
 
 Supervisory Responsibilities:
 
 
 None
 
</div>

Formulation Scientist of Product Development

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon products worldwide. 
 
We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our pricing algorithms across all products listed on Amazon. 
 
This role requires an individual with exceptional machine learning and predictive modeling skills, causal and experimental evaluation experience, excellent cross-functional collaboration skills and business acumen, and an entrepreneurial spirit.
 
 
We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work independently to deliver business impact. 
 
Key job responsibilities 
 
<ul><li>See the big picture. Understand and develop science to influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques</li></ul> 
<ul><li>Build strong collaborations. Partner with product, engineering, and data teams within Pricing &amp; Promotions to deploy models at Amazon scale</li></ul> 
<ul><li>Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, reinforcement learning, causal ML, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems</li></ul> 
<ul><li>Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.</li></ul> 
<ul><li>Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.</li></ul> 
A day in the life 
We are hiring an applied scientist to drive our pricing optimization initiatives. The Price Optimization science team drives cross-domain and cross-system improvements through: 
 
<ul><li>invent and deliver price optimization, simulation, and competitiveness tools for Sellers.
</li><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.
</li><li>Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul> 
Price is a highly relevant input into many partner-team architectures, and is highly relevant to the customer, therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication. 
 
About the team 
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><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><li>2+ years of hands-on predictive modeling and large data analysis experience</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with training and deploying machine learning systems to solve large-scale optimizations</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, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Pricing Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist. 
 
At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.
 
 
As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon&rsquo;s global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions.
 
 
Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. 
 
Please visit https://www.amazon.science for more information 
 
 
 
 
Key job responsibilities 
<ul><li>Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.</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 NLP techniques and methodologies to improve the accuracy and efficiency of language-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></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms 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 building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li><li>Experience in NLP, generative AI, LLM, or DL, RL.</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, Intl Seller Growth

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Applied Scientist - II, Intl Seller Growth