computer vision scientist

Fathom

<div><b>About the job</b><p></p><p>
We are a pioneering AI company, marking our footprint on the global stage with a presence in Saudi Arabia, Poland, and Norway. As a pre-Series A startup, we are proudly backed by one of the world's leading corporations, underscoring our potential and the innovative spirit driving our mission. Our platform is engineered to address complex business challenges through cutting-edge AI solutions, with a particular emphasis on computer vision technologies. Our ambition is to launch a product that will revolutionize the industry by leveraging advanced computer vision capabilities.</p><p>
We are seeking talented Senior Data Scientists to work with a client, one of the most recognized enterprise companies in the Oil &amp; Gas sector.</p><p><b>
What you&rsquo;ll be doing</b></p><ul><li>
Lead the development and implementation of cutting-edge computer vision models and algorithms to solve complex problems, including but not limited to object detection, image recognition, and predictive maintenance for equipment.</li><li>
Collaborate closely with our product, marketing, and technical teams to integrate computer vision solutions that significantly enhance our AI/DataOps platform's value proposition to businesses.</li><li>
Drive data science projects from conception to delivery, focusing on computer vision applications, ensuring adherence to deadlines, data quality, and model effectiveness.</li><li>
Conduct in-depth research on the latest computer vision techniques and innovations to ensure our solutions remain at the forefront of AI technology.</li><li>
Translate complex computer vision findings into actionable insights, making them accessible to both technical and non-technical audiences.</li><li>
Optimize computer vision models for scalability and efficiency, ensuring they align with business goals and customer needs.</li></ul><p><b>
What We Offer:</b></p><ul><li>
Competitive salary and benefits package.</li><li>
A dynamic and challenging work environment.</li><li>
Opportunities for professional growth and development.</li></ul><p><b>
What you'll need</b></p><ul><li>
Proven experience as a Data Scientist with a strong focus on computer vision, demonstrated by a portfolio showcasing innovative computer vision projects in the tech industry, especially in AI/DataOps.</li><li>
Exceptional analytical and technical skills, with the ability to develop and implement advanced computer vision algorithms and models.</li><li>
Deep understanding of AI and DataOps concepts, trends, and technologies, with specialized expertise in computer vision.</li><li>
Experience working independently and delivering computer vision projects from scratch, demonstrating project management skills and the ability to meet tight deadlines.</li><li>
Adept at conducting comprehensive research to produce innovative and effective computer vision solutions.</li></ul><p><b>
Nice to have</b></p><ul><li>
Outstanding communication and interpersonal skills.</li><li>
Knowledge of applicable laws, codes, and regulations.</li></ul><p>
We're excited about the future and look forward to potentially having you on our team. Apply today to join our journey of growth and innovation!</p></div><p></p>

Senior Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.<br>
<br>
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree</li><li>1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields.</li><li>Should be an expert in either Computer Vision or NLP and have a good understanding of the both.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision.</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</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, RBS Tech

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.<br>
<br>
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will independently file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree</li><li>2+ years of relevant applied science research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</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, RBS Tech

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 6 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Applied Scientist

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 You will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Core42. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Core42for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 10 years of experience in developing AI algorithms for various modalities.
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
</div>


Principal Applied Scientist

Sprinklr

<div><div>Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale &mdash; across every customer touchpoint.</div><div></div><div>
By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr&rsquo;s unified platform provides powerful solutions for every customer-facing team &mdash; spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management &mdash; enabling enterprises to unify data, break down silos, and act on real-time insights.</div><div></div><div>
Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.</div><div></div><div>
Job Description</div><div></div><div><div><div>
What Does Success Look Like</div></div><div></div><div><div><br>
In your role as a Research Scientist, you will be tasked with creating innovative machine learning research for the next generation of digital customer experience applications.</div></div><div></div><div><div><br>
What You&rsquo;ll Do</div></div><div><ul><li><div>
Work in collaboration with a multidisciplinary team of AI researchers with expertise in GenAI, NLP, Voice and related fields.</div></li></ul></div><div><ul><li><div>
Read a lot of latest Research papers and perform useful and impactful lines of experiments that would benefit the open community and the company!</div></li></ul></div><div><ul><li><div>
Contribute to the development of the long-term technical roadmap for AI research at the company.</div></li></ul></div><div><ul><li><div>
Conduct AI research using CXM data to innovate and potentially patent or publish findings, while clearly communicating progress and results both internally and externally through written and oral reports.</div></li></ul></div><div><ul><li><div>
Partner with engineering leads to ensure seamless translation of research into practical and scalable AI applications.</div></li></ul></div><div><ul><li><div>
Work on building efficient AI Agents, Agent builders, Agent Evaluation Frameworks, Voice-to-Voice Models, LLM Hosting and Optimization etc.</div></li></ul></div><div><div>
What Makes You Qualified?</div></div><div><ul><li><div>
Candidates should hold a Bachelor's degree in Computer Science, Computational Linguistics, or a related field, emphasizing AI, machine learning, computer vision, or speech processing, with a minimum of 4 years of relevant experience. Alternatively, a Master's degree with at least 3 years of experience is also considered.</div></li></ul></div></div><div><div><ul><li><div>
Strong publication record in top-tier AI, ML, computer vision, or speech processing conferences and journals is a plus.</div></li></ul></div><div><ul><li><div>
Industry experience in ML, DS, AI research, with a focus on multimodal AI technologies.</div></li></ul></div><div><ul><li><div>
Proficiency in machine learning frameworks and programming languages relevant to AI, computer vision, and speech processing like LangGraph, LangChain, PyTorch, TensorFlow, etc.</div></li></ul></div><div><ul><li><div>
Exceptional communication skills, with the ability to articulate complex technical concepts to diverse audiences.</div></li></ul></div></div><div></div><div>
We focus on our mission: Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data &mdash; helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:</div><ul><li><div>
Lead a new category of enterprise software that we call Unified-CXM.</div></li></ul><ul><li><div>
Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.</div></li><li><div>
Create a culture of customer obsession, with trust, teamwork, and accountability.</div></li></ul><div></div><div>
We believe in our product: Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything &mdash; and everyone &mdash; can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world&rsquo;s leading enterprise brands.</div><div></div><div><br>
We invest in our people: We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off &ndash; it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.</div><div></div><div>
To learn more about employee benefits by region, <div>click here</div>.</div><div></div><div>
To learn more about all-things-Sprinklr, visit our candidate resource hub <div>here</div>.</div><div></div><div>
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we&rsquo;re more innovative, creative, and successful.</div><div></div><div>
Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.</div><div></div><div><br>
Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.</div><div></div><div>
Warning about Recruiting Scams: Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please <div>review</div> the Federal Trade Commission's advice to avoid these types of scams.</div><div></div><div>
If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.</div></div><div></div>

Lead ML Research

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon&rsquo;s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers&rsquo; shopping journeys on Amazon. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand content that customers trust, and furnish customers with the content in a way that meets their needs at any stage of their shopping journey.
<br>
<br>
Key job responsibilities<br>
As a Sr. Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning.
<br>
<br>
Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in ML models, particularly using NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skillset.<br>
<br>
Major responsibilities:<br>
<br>
<ul><li>Use statistical and machine learning techniques to create scalable and lasting systems.</li><li>Analyze and understand large amounts of Amazon&rsquo;s historical business data for Recommender/Matching algorithms</li><li>Design, develop and evaluate highly innovative models for NLP/CV.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.</li><li>Research and implement novel machine learning and statistical approaches, including NLP and Computer Vision</li></ul><br>
A day in the life<br>
In this role, you&rsquo;ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them.<br>
<br>
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li><li>4+ years of applied research experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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 $150,400/year in our lowest geographic market up to $260,000/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>

Senior Applied Scientist, Creators

Search 10000+ Computer vision scientist jobs near you this November. New roles added regularly across leading industries. Apply today.