ai research scientist-sr. associate Jobs in New York

ai research scientist-sr. associate

ai training - research scientist (est) Jobs in New York

ai training - research scientist (est)

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applied researcher i (ai foundations) Jobs in New York

applied researcher i (ai foundations)

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internal ai innovation analyst

ai training research scientist est

Prolific

<div><h2 class="jobSectionHeader">AI Trainer &ndash; Research Scientists</h2>
<h3 class="jobSectionHeader">About Prolific</h3>

Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
<h3 class="jobSectionHeader">
The role</h3>

We're looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to &pound;50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
<h3 class="jobSectionHeader">
What you'll be doing in the role</h3> 
Completing AI training tasks such as analyzing, editing, and writing research-focused content 
Judging the performance of AI on research design, methodology, and scientific reasoning prompts 
Improving cutting-edge AI models using your experience in research and experimentation
<h3 class="jobSectionHeader">
What you'll bring</h3> 
Experience working as a Research Scientist or in a closely related research role 
A strong understanding of scientific methodology, experimental design, and data analysis 
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool 
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time 
A reliable and fast internet connection and access to a computer 
A Paypal account to receive payment from our clients*
<h3 class="jobSectionHeader">
Why Prolific is a great platform to join as a Domain Expert participant</h3>

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
<ul><li>Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.</li></ul>

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.</div>

AI Training - Research Scientist (EST)

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;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&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community.
Job responsibilities<ul>
<li>Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning</li>
<li>Collaborate with internal and external researchers and with applied engineering teams</li>
<li>Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research</li>
<li>Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals</li>
<li>Participate in relevant top-tier academic conferences to broaden the impact of your contributions</li></ul>
Required qualifications, capabilities, and skills<ul>
<li>PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field</li>
<li>Research publications in prominent AI venues; e.g., conferences, journals</li>
<li>Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, &hellip;</li>
<li>Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series, reasoning and foundational models</li>
<li>Proficiency with rapid prototyping and disciplined software development processes</li>
<li>Expertise in software engineering within collaborative project settings</li></ul>
Preferred qualifications, capabilities, and skills<ul>
<li>Extensive programming skills in Python (required), Java or C++ (optional)</li>
<li>Interest in problems related to the financial services domain (specific past experience in the domain is not required)</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AI Research Scientist-Sr. Associate

Columbia University

<div><ul><li>Job Type: Short Term Casual</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Temporary</li>
<li>End Date if Temporary:</li>
<li>Hours Per Week: 10</li>
<li>Standard Work Schedule:</li>
<li>Building:</li>
<li>Salary Range: $23.00/Hr - $23.00/Hr</li>
</ul><div>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</div> 
<div></div>

Position Summary

This position supports an IRB-approved research project within the SpeechCARE Lab at Columbia University Irving Medical Center, focused on developing speech-based artificial intelligence and large language model (LLM) methods for early detection of cognitive impairment. The student will contribute to cutting-edge biomedical AI research using real-world patient&ndash;clinician communication data, working closely with the PI and an interdisciplinary research team.

Responsibilities
<ul>
<li>Participate in regular research meetings (typically twice per week with the PI and team)</li>
<li>Work with audio and transcript data in secure environments</li>
<li>Using natural language processing, large language models, and speech analysis to conduct research on building algorithms for early detection of Alzheimer&rsquo;s disease based on audio-recorded patient&ndash;clinician data.</li>
<li>Contribute to prompt design, LLM fine-tuning, and model evaluation</li>
<li>Assist with documentation, analysis, and reproducible research code</li>
</ul>
Minimum Qualifications
<ul>
<li>Type preferred qualifications
<ul><li>Bachelor's Degree</li>
<li>Strong Python programming skills</li>
<li>Strong background in NLP, with completion of relevant graduate-level coursework</li>
<li>Experience working with transformer-based models</li>
<li>Familiarity with prompt writing, LLM fine-tuning concepts, and GPT-style APIs</li>
<li>Experience with PyTorch and/or Hugging Face is strongly preferred</li>
<li>Familiarity in speech analysis is a plus (training will be provided by the research team)</li></ul></li> 
<li>
Prior to accessing data, selected students must complete required CUIMC research compliance training (e.g., CITI Human Subjects Research and HIPAA) and be added to the IRB protocol</li>
</ul>
Preferred Qualifications
<ul>
<li><ul><li>Familiarity with speech analysis or audio processing (training provided by the research team)</li>
<li>Prior experience in biomedical, clinical, or health-related AI research</li></ul></li> 
</ul>
Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.</div>

Student Research Worker

Capital One

<div>Applied Researcher I (AI Foundations)
Overview:
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. 
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.</li><li>
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul>
The Ideal Candidate:<ul><li>
You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You&rsquo;re passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.</li><li>
Has a deep understanding of the foundations of AI methodologies.</li><li>
Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.</li><li>
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.</li><li>
Experience in delivering libraries, platform level code or solution level code to existing products.</li><li>
A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.</li><li>
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research</li></ul>
Preferred Qualifications:<ul><li>
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields</li><li>
LLM<ul><li>
PhD focus on NLP or Masters with 5 years of industrial NLP research experience</li><li>
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)</li><li>
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)</li><li>
Publications in deep learning theory</li><li>
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR</li></ul></li><li>
Finetuning<ul><li>
PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)</li><li>
Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance</li><li>
Experience deploying a fine-tuned large language model</li></ul></li><li>
Data Preparation<ul><li>
Publications studying tokenization, data quality, dataset curation, or labeling</li><li>
Contribution to a major open source corpus</li><li>
Contribution to open source libraries for data quality, dataset curation, or labeling</li></ul></li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $218,700 - $249,600 for Applied Researcher I 

McLean, VA: $218,700 - $249,600 for Applied Researcher I 

New York, NY: $238,600 - $272,300 for Applied Researcher I 

San Jose, CA: $238,600 - $272,300 for Applied Researcher I 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Applied Researcher I (AI Foundations)

Point72

<div>
 
 About Cubist
 
 
 
 Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
 
 
 Role
 
 
 Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
 </li>
 <li>
 Generate novel ideas for enhanced proprietary data products.
 </li>
 <li>
 Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
 </li>
 <li>
 Transform firm approved raw datasets into robust features for our systematic models.
 </li>
 <li>
 Build analytical tools to supplement our shared research framework.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
 </li>
 <li>
 Programming in Python (or a comparable language) and working knowledge of SQL.
 </li>
 <li>
 Strong analytical and quantitative skills.
 </li>
 <li>
 Willingness to take ownership of their work.
 </li>
 <li>
 Ability to work both independently and collaboratively within a team.
 </li>
 <li>
 Strong desire to deliver high quality results in a timely fashion.
 </li>
 <li>
 High attention to detail.
 </li>
 <li>
 Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
 </li>
 <li>
 Commitment to the highest ethical standards.
 
 
 </li>
 </ul>
 The annual base salary range for this role is $100,000-$150,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
</div>

Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
Key job responsibilities 
As an applied scientist on our team, you will 
 
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li></ul> 
About the team 
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. 
 
Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><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 state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li><li>Deep curiosity, and basic knowledge on Gen AI</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Previous work on agents or LLMs</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, NY, New York - 172,400.00 - 223,400.00 USD annually 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Sponsored Products and Brands

Anthropic

<div>
 
 About Anthropic
 
 
 
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 
 
 
 About The Role
 
 
 
 As a Partner Operations Specialist, you'll be the operational engine behind Anthropic's growing partner ecosystem. This is a hands-on role focused on execution&mdash;you'll process deal registrations, administer Market Development Fund programs, and support Customer Acceleration initiatives, ensuring transactions are accurate and partners get what they need to succeed. You'll work closely with our Partnerships team and cross-functional partners in Finance, Legal, and Sales Operations to deliver smooth program execution and excellent partner experiences.
 
 
 This role is ideal if you're detail-oriented, take pride in getting things right, and find satisfaction in being someone the team can count on. You'll be in the details daily: processing requests, maintaining systems, resolving issues, and ensuring both partners and internal teams have what they need.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Process and manage deal registrations submitted by partners, including reviewing for completeness, routing through approval workflows, updating Salesforce records, and communicating status to stakeholders
 </li>
 <li>
 Administer Market Development Fund programs by validating requests, tracking allocations, processing proof-of-execution submissions, coordinating reimbursements with Finance, and responding to partner inquiries
 </li>
 <li>
 Support Customer Acceleration Fund programs, including POC funding and API credit distribution, by processing requests, coordinating allocations with technical teams, and monitoring credit consumption
 </li>
 <li>
 Process partner referral submissions and serve as a point of contact for partner operations inquiries, escalating complex issues as needed
 </li>
 <li>
 Maintain partner data quality in Salesforce, run standard reports, prepare data for leadership reviews, and support dashboard maintenance
 </li>
 <li>
 Document processes and standard operating procedures, flag inefficiencies, and support training for new team members
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You
 
 
 
 <ul>
 <li>
 Have 2-4 years of experience in operations, sales operations, partner operations, or a similar support function
 </li>
 <li>
 Are proficient in Salesforce (data entry, reporting, basic workflow navigation) and comfortable learning new systems quickly
 </li>
 <li>
 Have strong Excel or Google Sheets skills for data analysis and reporting
 </li>
 <li>
 Demonstrate consistent accuracy and attention to detail in fast-paced environments
 </li>
 <li>
 Communicate clearly and professionally, and can explain processes in ways that are easy to understand
 </li>
 <li>
 Take ownership of your work and are proactive about asking questions when something isn't clear
 
 
 </li>
 </ul>
 
 Strong Candidates May Also Have
 
 
 
 <ul>
 <li>
 Experience with partner or channel programs, partner portals, or incentive management systems
 </li>
 <li>
 Familiarity with managing SLAs and processing queues
 </li>
 <li>
 An interest in how partner operations enables broader business growth
 </li>
 <li>
 A desire to identify process improvements and contribute ideas, not just execute tasks
 
 
 </li>
 </ul>
 The annual compensation range for this role is below. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.
 
 
 
 Annual Salary
 
 
 
 $140,000&mdash;$170,000 USD
 
 
 
 Logistics
 
 
 
 
 Education requirements:
 
 We require at least a Bachelor's degree in a related field or equivalent experience.
 
 
 
 Location-based hybrid policy:
 
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 
 
 
 Visa sponsorship:
 
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 
 
 
 We encourage you to apply even if you do not believe you meet every single qualification.
 
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 
 
 
 Your safety matters to us.
 
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 
 
 
 How We're Different
 
 
 
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 
 
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 
 
 
 Come work with us!
 
 
 
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 
 Guidance on Candidates' AI Usage:
 
 Learn about our policy for using AI in our application process
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