nlp scientist

Machinify

<div><div>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We&rsquo;re constantly reimagining what&rsquo;s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.</div><div>
At Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis &mdash; a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models.
 
 
What We're Looking For: An applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions.
 
 
Key Responsibilities: Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies. Make data-driven decisions on algorithms and techniques tailored to specific business challenges. Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings. Continuously evaluate and optimize models for scalability and performance in production environments. * Learn the intricacies of the healthcare domain and evolve into an industry expert over time.
 
 
About You: Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields. Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions. 

What We Offer
<ul>
<li>Work from anywhere in the US! Machinify is digital-first.</li>
<li>Top Medical/Dental/Vision offerings</li>
<li>FSA/HSA</li>
<li>Tuition reimbursement</li>
<li>Competitive salary, 401(k) with company match</li>
<li>Unlimited PTO</li>
<li>Additional health and wellness benefits and perks</li>
<li>Flexible and trusting environment where you&rsquo;ll feel empowered to do your best work</li>
</ul>
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.</div><div><div>
Equal Employment Opportunity at Machinify</div>
<div></div>
<div>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div></div>

NLP Scientist

Staff NLP Scientist

Wells Fargo

<div>About this role:
Wells Fargo is seeking Lead Gen AI Data Scientist role as part of the Consumer Model Development. This role is pivotal in leading the development and implementation of cutting-edge Generative AI (GenAI) and Natural Language Processing (NLP) solutions within the Consumer LOB's - Banking, Lending, and WIM divisions. The successful candidate will lead model development for projects/programs and guide a team of data scientists and collaborate with business and technology partners to drive end-to-end solution design and development for implementing virtual assistants, content generation, agentic frameworks, and others for improving employee/customer experience, driving operational efficiencies, and mitigating risks. Learn more about the career areas and lines of business at wellsfargojobs.com.
In this role, you will:<ul><li>
Lead the design, development, and deployment of GenAI and NLP models for various consumer-facing applications</li><li>
Translate business problems into technical solutions, leveraging advanced GenAI/NLP/ML methodologies</li><li>
Collaborate with cross-functional teams to integrate AI solutions into business processes, ensuring scalability and robustness</li><li>
Provide mentorship and technical guidance to junior data scientists</li><li>
Engage with business stakeholders to communicate insights, model outcomes, and the strategic value of AI initiatives</li><li>
Ensure compliance with regulatory requirements and internal risk management policies</li></ul>
Required Qualifications:<ul><li>
5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</li></ul>
Desired Qualifications:<ul><li>
Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
</li><li>Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI</li><li>
Strong background in GenAi/NLP, machine learning, deep learning, and statistical analysis 
Experience in the financial services industry, particularly within consumer banking, lending, wealth and asset management</li></ul><ul><li>
Familiarity with regulatory and compliance considerations in AI model deployment</li><li>
Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders</li><li>
Strong full stack data science skills</li><li>
A track record of published research or patents in AI/ML</li></ul>
Job Expectations:<ul><li>
Ability to travel up to 10% of the time</li><li>
This position will require onsite presence at one of the locations listed below in a hybrid work schedule</li><li>
This role is not eligible for Visa sponsorship</li></ul>
Posting Location(s):
<ul><li>401 S Tryon St &ndash; Charlotte, North Carolina, 28202</li><li>
150 E 42nd St. &ndash; New York, New York 10017</li></ul>
Pay Range:
New York, NY Pay Range $191,000.00 - $305,000.00<ul><li>
May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards</li><li>
Actual salary is determined by location, experience and qualifications of the job</li></ul></div>

Lead GenAI Data Scientist

Charterhouse Middle East

<div>
 
 
 Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
 
 
 
 
 
 
 Charterhouse is partnered with a global family office seeking to strengthen its Investment Technology Division. This division is responsible for developing analytical platforms, data-driven tools, and technology-enabled capabilities that support investment teams, operational functions, and enterprise wide strategic decision making. With a remit that spans across Data Science, Engineering, Quantitative Research, and Product Development, the division plays a pivotal role in evolving the organisation&rsquo;s digital and analytical landscape. This current opening is for a Senior AI Scientist who will be a key contributor to the organisation&rsquo;s data and product initiatives.
 
 
 
 
 
 The Senior AI Scientist will help lead data driven initiatives, guiding the design and execution of data workflows that meet strategic business objectives. The role focuses on providing technical leadership across data analysis, developing resilient pipelines for model training, tracking model performance, and managing data platforms. The role will have strong expertise in leveraging LLMs and applying prompt engineering techniques to elevate insights and improve model outcomes.
 
 
 
 
 
 
 Our client is looking for ideal candidate with the following qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a closely related discipline.
 </li>
 <li>
 Experience working with LLM technologies, including pre-training, supervised fine-tuning (SFT), reinforcement learning (RL), and agent-based frameworks.
 </li>
 <li>
 Solid understanding of natural language processing (NLP) methods and algorithms.
 </li>
 <li>
 Industry experience in sectors such as healthcare, finance, or e‑commerce is an advantage.
 </li>
 <li>
 Contributions to open‑source projects, academic research, or relevant publications that showcase technical expertise and thought leadership are highly regarded.
 </li>
 <li>
 Hands‑on experience fine‑tuning and deploying LLMs, with an emphasis on optimizing models for specific applications.
 </li>
 <li>
 Proficiency with AI development frameworks such as PyTorch, DeepSpeed, and Hugging Face Transformers.
 </li>
 <li>
 Strong capabilities in prompt engineering and enhancing LLM performance through algorithmic improvements.
 </li>
 <li>
 Proven problem‑solving skills, particularly in applying LLMs to real‑world use cases.
 </li>
 <li>
 Ability to excel in a collaborative, fast‑moving environment and deliver meaningful AI-driven outcomes.
 </li>
 <li>
 Excellent English communication skills are essential.
 </li>
 </ul>
 
 
 
 
 
 *Please note this role offers relocation assistance for talented candidates based outside the region*
 
 
</div>

Senior AI Scientist

The Home Depot

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as NLP, Conversational AI, Information Retrieval, Generative AI or search. 
As a Data Scientist, you will also be responsible for applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)</li><li>
Prior background and experience in building Generative AI based solutions for industry is a plus</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in Machine Learning, Conversational AI, predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist, Contact Center AI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Alexa AI Domains is seeking a passionate, talented, and resourceful Senior Applied Scientist to invent and build scalable solutions for sate-of-the-art conversational AI. You will be working on advancing technologies in the fields of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval. As part of this role, you will collaborate with talented peers, have significant influence on our overall strategy as you guide and mentor Applied Scientists to create innovative and scalable solutions that touch millions of Alexa customers. 
Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of AI, and practical experience building large-scale machine learning systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. 
 
Join us in our mission to shape the space of Generative AI and provide unparalleled experiences for our customers.
 
 
Key job responsibilities 
<ul><li>Define the science roadmap and advance core science primitives for conversation modelling, content generation, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI</li><li>Architect agentic systems, making high-judgment trade-offs across audio/text/visual quality, relevance, latency, cost, and long-term extensibility</li><li>Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points</li><li>Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance</li><li>Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact</li><li>Drive development and deployment of scalable agentic systems for conversation understanding and generation, ensuring architectural decisions support long-term platform evolution</li><li>Set and continuously raise the scientific and engineering bar across the team</li><li>Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability</li><li>Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents</li></ul> 
About the team 
The AIDo (AI Domains) org is part of Alexa AI VP and Devices and Services SVP organizations. Our vision is to build an ecosystem of AI systems and services that elevate the core LLM model performance across endpoints, modalities, and locales. We are the horizontal Science and Engineering team that empowers Domains and Horizontal CX owners with transformative solutions that enable rapid, efficient scaling. AIDo represents a sophisticated global organization that spans multiple international locations including the US (Boston, Seattle), Germany, Italy, and India. The team's core mission is to develop and maintain AI systems and services that enhance the performance of core LLM models across various endpoints, modalities, and locales.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building machine learning models for business application</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li><li>Usage of Generative AI tools to enhance workflow efficiency, with a willingness to learn effective agentic prompting and evaluation practices</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, Bellevue - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist , Alexa AI Domains

Lumicity

<div>
 
 
 AI Research Scientist &ndash; NLP/Computational Linguistics
 
 
 
 
 
 
 A well-funded applied AI startup is building advanced systems to distinguish human-created content from machine-generated content. The team combines frontier research with real-world deployment, turning cutting-edge ideas into production systems used at scale.
 
 
 
 
 
 They&rsquo;re hiring an
 
 AI Research Scientist
 
 to improve and scale core detection models. This is a hands-on role where you&rsquo;ll train large neural networks, design experiments, and push model performance forward, while also shipping code into production.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Train and fine-tune large-scale deep learning models
 </li>
 <li>
 Design experiments to improve robustness and generalization
 </li>
 <li>
 Create and leverage synthetic data at scale
 </li>
 <li>
 Contribute new ideas that materially improve model accuracy
 </li>
 <li>
 Collaborate with engineering to deploy research into production systems
 </li>
 <li>
 Share insights through technical writing or publications where appropriate
 </li>
 </ul>
 
 
 
 
 This is not a purely academic role, you&rsquo;ll be expected to code, ship, and iterate.
 
 
 
 
 
 What They&rsquo;re Looking For
 
 <ul>
 <li>
 PhD in ML/AI/NLP (or equivalent research experience at a leading AI lab)
 </li>
 <li>
 Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
 
 or
 
 meaningful contributions to deployed AI systems
 </li>
 <li>
 Strong understanding of generative models and modern LLMs
 </li>
 <li>
 Experience training models in PyTorch at scale
 </li>
 <li>
 Evidence your research has led to real-world impact
 </li>
 </ul>
 
 
 
 
 Bonus Points
 
 <ul>
 <li>
 Work in robustness, interpretability, synthetic data, or model evaluation
 </li>
 <li>
 Background in NLP, computational linguistics, vision, audio, or other adjacent ML domains
 </li>
 <li>
 Experience with distributed training or ML infrastructure
 </li>
 </ul>
 
 
 
 
 Ideal Profile
 
 <ul>
 <li>
 Early-career researcher (including strong new PhDs) who wants applied impact
 </li>
 <li>
 Industry researcher who wants more ownership and product exposure
 </li>
 <li>
 Someone motivated by AI integrity, trust, and responsible deployment
 </li>
 </ul>
 
 
 
 
 Small team. High ownership. Deep technical problems. Real-world impact.
 
</div>

Research Scientist

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