deep learning scientist

NLP PEOPLE

Overview We're looking for aResearch Scientist (Machine Learning)to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.This role will off you<ul><li>Work at the intersection of AI and life sciences with high-impact applications.</li><li>Hybrid working (3 days per week in the London office).</li><li>A collaborative, inclusive culture with opportunities for growth and leadership.</li></ul> What you'll do <ul><li>Design and develop novel ML models and algorithms.</li><li>Apply deep learning and generative modelling to complex scientific problems.</li><li>Collaborate with experts across biology, chemistry, physics, and engineering.</li><li>Analyse, tune, and optimise experimental results.</li><li>Depending on experience: lead projects, mentor others, and shape research strategy.</li></ul> What you'll bring <ul><li>PhD (or equivalent experience) in ML, computer science, or a related field.</li><li>Proven expertise in deep learning research and model development.</li><li>Strong knowledge of mathematics (linear algebra, calculus, statistics).</li><li>Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.</li><li>A passion for applying ML to real-world scientific challenges.</li></ul> Nice to have <ul><li>Experience working with biological or chemical data.</li><li>Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.</li><li>Contributions to publications, research projects, or open-source ML.</li></ul><img src="https://www.jobg8.com/Tracking.aspx?3T4Xc8xAqRkMacEatShEH8vB88tUDqUZp" width="0" height="0" />

Research Scientist (Machine Learning)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As an Applied Scientist with the AGI team, you will work with talented peers to support the development of algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs. 
 
About the team 
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience</li><li>1+ years of building models for business application experience</li><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Electrical Engineering, Mathematics or related field</li><li>Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</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 $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist, Artificial General Intelligence

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. 
 
Key job responsibilities 
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: 
<ul><li>Scaling laws</li><li>Hardware-informed efficient model architecture, low-precision training</li><li>Optimization methods, learning objectives, curriculum design</li><li>Deep learning theories on efficient hyperparameter search and self-supervised learning
</li><li>Learning objectives and reinforcement learning methods</li><li>Distributed training methods and solutions</li><li>AI-assisted research</li></ul> 
About the team 
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.</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>1+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Electrical Engineering, Mathematics or related field</li><li>Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</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 $136,000/year in our lowest geographic market up to $223,400/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>

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of ExcellenceThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the businessRequired qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problemsPreferred qualifications, capabilities, and skills • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement LearningFor more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Company: Chase- Candidate Experience page Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom <img src="https://www.jobg8.com/Tracking.aspx?Ju8ovp2JVQHH5b0Wvhj8gtSh3v%2bbyQjen" width="0" height="0" />

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Inception

<div>
 
 Overview
 
 
 
 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.
 
 
 The opportunity
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 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.
 
 
 To qualify, you must have
 
 
 <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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Varshney Infotech Pvt Ltd

Gen AI Data ScientistLocation - RemoteJob Type - Contract (12 months)Company - Varshney Infotech Pvt LtdWe are looking for a Data Scientist/ Senior Data Scientist for our Advanced Analytics and Big Datateam. The scope of the team is to generate insights for data-driven decision in the domain of productdevelopment using methods of systematical data analysis. The main task is to identify suitableproblem statements and develop sustainable solutions in an international and diverse environment.Our methods are based on state of the art technology such as artificial intelligence, cloud computingand agile software development in order to provide groundbreaking insights for vehicle development.Responsibilities &amp;amp; Key DeliverablesArtificial Intelligence &amp;amp; Machine Learning&#61623; Cognitive AI Applications &amp;amp; Chatbots&#61623; Full stack development &amp;amp; product Management (Web, Mobile): Hardcore Full Stack DataScientist with end to end single-handed multi hat role to work on building an AI ConversationVoice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech toText Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN,deep learning to solve the specific complex problem in Auto sector as single-handed doer orin a small Data Science Team with full end to end ownership of delivery&#61623; Machine Learning - Classification and prediction for intuitive results at scale. Strongexperience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictivemodeling as well as business strategy skills to build the algorithms necessary to ask the rightquestions and find the right answers.Statistical Data Modelling, Big Data&#61623; Recommend appropriate searching and indexing methods&#61623; Use big data tools and platforms to access data and run models&#61623; Big Data: Remove constraints on volume, variety and velocity of data&#61623; Data Modelling: Identifying factors and relationships to make predictions for competitiveadvantageData Management and Insight&#61623; Data sourcing, integration, scaling and optimization. Ensure provenance and&#61623; Clean data through statistical approaches, such as identifying outliers and transform datainto machine-readable formats&#61623; Optimize performance of database queries/schema (basics such as adding indices etc.),processing unstructured data (text, voice, image)&#61623; Cleaning data, formatting data, Having the ability to query databases &amp;amp; perform statisticalanalysis, build AI Data Modelling, validating the AI Model and deploymentBusiness Understanding and Project Management&#61623; Use subject matter knowledge in the areas of business operations (HR, Manufacturing,Supply Chain, Sales &amp;amp; Marketing etc.) in order to understanding business requirementeffectively. Manages projects effectively ensuring objectives, deadlines and budgets are metby team members under own control.InternalGeneral Experience&#61623; 3 to 7 years of strong experience in applied AI ML &amp;amp; Deep Learning Data Science&#61623; End to end single-handed hands-on full-stack Data Scientist / Sr. Data Scientist.&#61623; Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-5 good Applied AI-oriented Applied Research Projects &amp;amp; Industry Projects applicationsNote - Candidates must have their own LaptopCan share resume to samiksha.kesharwani@varshneyinfotech.net or kesharwanisameeksha07@gmail.comJob Types: Full-time, Contractual / Temporary, Freelance Contract length: 12 monthsPay: &#8377;150,000.00 - &#8377;250,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Work Location: In person

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