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associate researcher i-pathology molecular and cell based medicine Jobs in New York

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associate researcher i - genetics (sebra lab) Jobs in New York

associate researcher i-pathology, molecular and cell based medicine Jobs in New York

ai training research scientist est

Prolific

<div>
 
 AI Trainer &ndash; Research Scientists
 
 
 
 
 
 About Prolific
 
 
 
 
 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.
 
 
 
 
 The role
 
 
 
 
 We&rsquo;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&rsquo;s biggest AI labs. If you have the necessary experience, we&rsquo;ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a Domain Expert participant, where you&rsquo;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.
 
 
 
 
 What you&rsquo;ll be doing in the role
 
 
 
 
 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
 
 
 
 
 What you&rsquo;ll bring
 
 
 
 
 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*
 
 
 
 
 Why Prolific is a great platform to join as a Domain Expert participant
 
 
 
 
 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)

Data Scientist, Products & Applied Research

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 
</li>
<li>3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>2 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
You will be in a team that applies statistical and data science to understand Artificial Intelligence (AI) opportunities and the developer productivity at a scale as large as that of Google. As a Data Scientist on the Developer AI team, you will be at the vanguard of using advanced data science and machine learning to comprehend and address the most significant hurdles our software engineers face. You will have the rare chance to work with a vast and intricate dataset of developer activities. Your insights will directly influence the next wave of AI-enhanced tools for every developer at Google.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Collaborate with engineering teams to instrument and gather data, laying the groundwork for enhancing artificial intelligence (AI) products and developer productivity.</li>
<li>Perform analysis of developer processes and issues to pinpoint where AI-driven solutions can deliver impact.</li>
<li>Create and monitor performance indicators to measure the value and influence of our products on Google's developers.</li>
<li>Discover latent trends, forecast future requirements, and demonstrate the return on investment of our projects.</li>
<li>Present insights to leadership, guiding data-centric decisions that will define the future of developer tools at Google.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Data Scientist, Developer AI

Louis Vuitton

<div>
 
 About The Job
 
 
 
 Louis Vuitton Americas is seeking a Senior Data Scientist &ndash; Analytics and AI Data to join our Digital team based in New York City. This individual will act as a hybrid data scientist, MLOps engineer, BI SME, business analyst, and data engineer, while owning the roadmap of analytics and AI solutions that can be industrialized and scaled by central teams. You will sit at the intersection of local business needs and global data/AI strategy, ensuring solutions are impactful, scalable, and aligned with enterprise priorities.
 
 
 Job responsibilities
 
 
 <ul>
 <li>
 Product Strategy &amp; Cross-Functional Roadmap:
 
 </li>
 <ul>
 <li>
 Lead the comprehensive analytics and AI roadmap, guiding it from opportunity identification and prioritization through delivery and transition to central teams.
 </li>
 <li>
 Collaborate with diverse functional stakeholders (e-commerce, retail, CRM, supply chain, finance, etc.) to identify use cases, define problem statements, and translate these into clear data product requirements.
 </li>
 <li>
 Establish success metrics, measure value realization, and continuously refine the roadmap based on impact and feedback.
 
 </li>
 </ul>
 <li>
 Data Science &amp; Advanced Analytics:
 
 </li>
 <ul>
 <li>
 Design and lead predictive models and analytical solutions utilizing Python and SQL.
 </li>
 <li>
 Conduct thorough exploratory data analysis, feature engineering, model training, validation, and comprehensive documentation.
 </li>
 <li>
 Develop reusable analytical assets (scores, segments, KPIs) for broad application across various markets and functions.
 
 </li>
 </ul>
 <li>
 MLOps &amp; Data Engineering:
 
 </li>
 <ul>
 <li>
 Collaborate with MLOps and Data Engineering teams to develop, orchestrate, and maintain robust data and machine learning pipelines, leveraging tools such as Dataiku and Google BigQuery.
 </li>
 <li>
 Implement best practices for testing, version control, monitoring, and observability to ensure the creation of reliable, production-grade solutions.
 </li>
 <li>
 Partner with central data engineering and platform teams to align initiatives with enterprise standards and promote scalability.
 </li>
 <li>
 Work alongside business, local, and central Data Engineering teams to facilitate data integration and validation, effectively addressing diverse business challenges.
 
 </li>
 </ul>
 <li>
 BI, Insights &amp; Business Analysis:
 
 </li>
 <ul>
 <li>
 Act as a Business Intelligence Subject Matter Expert, contributing to the definition of semantic layers, Key Performance Indicators (KPIs), and data models that enable self-service analytics.
 </li>
 <li>
 Guide or develop insightful dashboards and reports using tools like Power BI, Tableau, or Looker, ensuring their actionability and broad adoption across the organization.
 </li>
 <li>
 Perform business analysis, meticulously gathering requirements, mapping processes, and transforming analytical findings into clear recommendations and compelling narratives for various stakeholders.
 
 </li>
 </ul>
 <li>
 Collaboration with Central / Global Teams:
 
 </li>
 <ul>
 <li>
 Prepare and package local or cross-functional solutions, including code, design specifications, documentation, and KPIs, for industrialization and ongoing maintenance by central teams.
 </li>
 <li>
 Contribute to the continuous evolution of global data and AI standards, reference architectures, and best practices.
 </li>
 <li>
 Represent cross-functional analytics and AI needs in global forums, effectively highlighting dependencies, potential risks, and opportunities for scaling solutions.
 
 
 </li>
 </ul>
 </ul>
 Profile
 
 
 We are excited to speak to skilled and experienced data professional with 3+ years of hands-on experience in data science, analytics, or data engineering, demonstrating end-to-end ownership of data products. The ideal candidate will possess strong proficiency in Python (pandas, NumPy, scikit-learn), advanced SQL skills, and experience with cloud data warehouses such as Google BigQuery. Practical experience with enterprise data processing platforms like Dataiku is also essential. Candidates should have demonstrated expertise in at least three of the following areas: data science/machine learning, BI/reporting and metric design, business analysis/stakeholder management, data engineering/data processing, or Gen AI/Agentic AI product deployment. Strong communication and storytelling abilities are crucial for fostering collaboration between business and technical teams.
 
 
 Preferred qualifications include experience in retail, luxury, fashion, or consumer environments, familiarity with experimentation (A/B testing), customer analytics (segmentation, propensity, churn, LTV), or marketing attribution. Exposure to Generative AI/LLMs and their application to customer experience and productivity, along with experience in a hub-and-spoke operating model, are also highly valued. Core competencies for this role include transversal product thinking, technical breadth spanning data science, MLOps, BI, data analysis, and data engineering, the ability to lead initiatives effectively across functions and geographies, and a strong outcome orientation focused on measurable business value and long-term maintainability.
 
 
 The appointed candidate will be offered a base salary within the range USD $140,000 - $160,000, a comprehensive benefits package including: medical, dental, vision, short and long-term disability, various paid time off programs, employee discount/perks and two retirement plans both with employer contributions.
 
 
 <ul>
 <li>
 Please note that restrictions may apply to part-time employees
 
 
 </li>
 </ul>
 
 The position requires 4 days per week on site in the Louis Vuitton Corporate Office, located in the heart of Midtown, Manhattan.
 
 
 
 Additional information
 
 
 Louis Vuitton is a company that respects the uniqueness of each employee and offers everyone the means to find their place and prosper. We promote initiatives aimed at supporting professional equality for everyone. We strive to go above and beyond purely symbolic measures by building a culture passionate about meaningful strategies aimed at crafting an inclusive workforce.
 
 
 In addition to a generous benefits package, unparalleled career development opportunities, both locally &amp; globally, as an employee at Louis Vuitton, you can expect to be provided with industry leading training which will offer you an in-depth insight into the luxury and retail environment.
 
 
 Reference LVM32143
</div>

Senior Data Scientist – Analytics and AI Data

Doppel

<div>
 
 Why Join Doppel
 
 
 
 Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world&rsquo;s fastest-evolving digital threats.
 
 
 Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
 
 
 
 What We're Building
 
 
 
 We're building the AI-native social engineering defense platform.
 
 
 This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
 
 
 
 What We're Looking For
 
 
 
 We're hiring for a senior data scientist specifically focused on product analytics. We&rsquo;re looking for a customer-obsessed data scientist who wants to have outsized impact and ownership. This role will play a significant role in shaping our roadmap. You&rsquo;ll get the opportunity to join a rapidly growing company that&rsquo;s making the Internet a safer place every day. We're in-person in SF/NY 3 days a week.
 
 
 
 We&rsquo;re Looking For Someone To
 
 
 
 <ul>
 <li>
 Define the right product and customer metrics to measure success and identify new areas of opportunity.
 </li>
 <li>
 Build scalable, self-serve dashboards to help cross-functional teams make data-driven decisions.
 </li>
 <li>
 Create analytical models to support our product, engineering, and operations teams.
 </li>
 <li>
 Develop forecasting models to estimate operational capacity over time, especially as we leverage AI to combat online threats.
 </li>
 <li>
 Communicate insights clearly to technical and non-technical teams.
 
 
 </li>
 </ul>
 
 Our Ideal Candidate Has
 
 
 
 <ul>
 <li>
 4+ years of experience in data analytics, data science, or a related field.
 </li>
 <li>
 Fluency in BigQuery/SQL and familiarity with data visualization tools like Looker Studio.
 </li>
 <li>
 Strong foundational understanding of statistical methods, forecasting, and/or experimentation.
 </li>
 <li>
 Experience working cross-functionally and collaborating with product, engineering, and non-technical partners.
 
 
 </li>
 </ul>
 While it&rsquo;s not required, it&rsquo;s a bonus to be familiar with a language like R or Python, especially if you have experience writing Jupyter notebooks.
 
 
 If you&rsquo;re excited about the role but your past experience doesn&rsquo;t align perfectly with the above, we encourage you to apply anyway.
 
 
 
 What We Offer
 
 
 
 🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
 
 
 🍽️ Free lunch and dinner in the office
 
 
 🌴 Flexible PTO
 
 
 ✈️ Quarterly team offsites
 
 
 Join Doppel
 
 
 Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
 
 
 We&rsquo;re not just another cybersecurity company. We&rsquo;re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
</div>

Data Scientist

<div>
 Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
 
 
 Research Scientist Intern, AI Alignment Responsibilities:
 
 
 <ul>
 <li>
 Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques
 </li>
 <li>
 Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy
 </li>
 <li>
 Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
 </li>
 <li>
 Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
 </li>
 <li>
 Publish research results and contribute to research that can be applied to Meta product development
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field
 </li>
 <li>
 Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
 </li>
 <li>
 Experience with Python, C++, C, Java or other related languages
 </li>
 <li>
 Experience with deep learning frameworks such as Pytorch or Tensorflow
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Intent to return to degree program after the completion of the internship/co-op
 </li>
 <li>
 Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&amp;P, MLSys, or similar
 </li>
 <li>
 Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
 </li>
 <li>
 Experience building large-scale machine learning systems and training with large datasets
 </li>
 <li>
 Experience communicating complex research in a clear, precise, and actionable manner
 </li>
 <li>
 Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
 </li>
 <li>
 Experience working and communicating cross functionally in a team environment
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $7,650/month to $12,134/month + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Research Scientist Intern, AI Alignment

mLabs

<div>Location: Remote - Must have a 6 hour overlap with EST
Remote | Full-time
Compensation: $80K - $175K
We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset creation for frontier research labs.
The organization operates as a lean, technical team that prioritizes speed and direct execution. As a Research Crawling Engineer, the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on providing high-quality inputs for research and model development.
Key Responsibilities<ul><li>
Construct and maintain large-scale web crawlers across diverse domains.</li><li>
Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from millions to billions of URLs per day.</li><li>
Navigate anti-bot systems, rate limits, and dynamic, JavaScript-heavy websites.</li><li>
Develop robust pipelines for data cleaning, deduplication, filtering, and normalization.</li><li>
Build and maintain datasets specifically structured for research and machine learning model training.</li><li>
Monitor and optimize crawl performance, coverage, and data quality through rapid iteration.</li><li>
Collaborate with research teams to ensure data collection efforts align with modeling requirements.</li><li>
Optimize infrastructure to ensure cost-efficiency, low latency, and reliability.</li></ul> 

Requirements 
<ul><li>
Extensive programming experience in one or more of the following: Go, Rust, Python, Java, or C++.</li><li>
Proven experience in building web crawlers or large-scale data pipelines.</li><li>
Solid understanding of HTTP, networking protocols, and browser behavior.</li><li>
Familiarity with distributed systems and parallel processing techniques.</li><li>
Experience handling large datasets, ideally at the terabyte to petabyte scale.</li><li>
Demonstrated ability to debug and maintain systems within unstable or adversarial environments.</li></ul>
Preferred Qualifications:<ul><li>
Experience with NLP pipelines or dataset curation for machine learning.</li><li>
Familiarity with LLM pre-training data or retrieval systems.</li><li>
Practical experience with headless browsers (e.g., Playwright, Puppeteer, or Chrome DevTools Protocol).</li><li>
Knowledge of proxy systems, IP rotation, and large-scale request orchestration.</li><li>
Background in data quality evaluation or benchmarking.</li><li>
Experience running workloads on cloud or bare-metal infrastructure.</li></ul> 

Benefits 
<ul><li>
Impactful Opportunity: Contribute to the development of a web-scale crawler and knowledge graph at the forefront of AI data accessibility.</li><li>
High-Performance Culture: Join a lean, low-ego team that prioritizes high output and professional growth.</li><li>
Remote Work: This position is part of a fully remote team, offering flexibility and autonomy.</li><li>
Competitive Compensation: A package including a competitive salary, comprehensive benefits, and equity, commensurate with experience and the ability to operate at scale.</li></ul>
﻿
Interview Process<ul><li>
Recruiter Coordination Call</li><li>
Hiring Manager Interview</li><li>
Founder / CEO Interview</li><li>
Secondary Executive Interview</li><li>
Final Interview</li></ul> 
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd&rsquo;s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.</div>

Research Crawling Engineer

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