Research Jobs in New York, USA

Come join the AWS AI science team in building the next generation models for intelligent automation.<br/><br/>AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.<br/><br/>We are looking for world class researchers with experience in one or more of the following areas - Agentic AI, Autonomous long running agents, API orchestration, Planning, large multimodal models (especially vision-language models), RAG, reinforcement learning (RL) and sequential decision making.<br/><br/>About the team<br/>Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.<br/><br/>Diverse Experiences<br/>AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.<br/><br/>Why AWS?<br/>Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br/><br/>Inclusive Team Culture<br/>AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br/><br/>Mentorship & Career Growth<br/>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br/><br/>Work/Life Balance<br/>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Research Collaborations Associate at Ataraxis ai. Apply via Ashby.

We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI Music Lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Choice in participation: We recognize there’s a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music. Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for their contributions. Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. Learn more in our press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;Founded in 1999, Viking Global Investors (“Viking”) is a global investment firm with a long-term, fundamental, research-intensive approach to investing. Viking manages ~$52 billion of capital across public and private investments. Viking has offices in Stamford, New York, Hong Kong, London, and San Francisco, and is registered as an investment adviser with the U.S. Securities and Exchange Commission. For more information, please visit &lt;a href=&quot;https://vikingglobal.com&quot; target=&quot;_blank&quot;&gt;vikingglobal.com&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;FELLOWSHIP OPPORTUNITY&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Viking is seeking an Execution Research Fellow to join our trading and technology teams for a project-based fellowship of 10 to 12 weeks, with a target start date in summer 2026. The fellowship may extend into the fall for the right candidate. This is an opportunity to conduct applied research on high-impact problems at the intersection of market microstructure, data infrastructure, and execution optimization.&lt;/p&gt; &lt;p&gt;The Fellow will work directly under the direction of Viking’s Head of Execution Research, contributing to defined project workstreams and benefiting from close mentorship throughout. We are open to different start dates and schedule arrangements for the ideal candidate. This is a fixed-term fellowship with no expectation of or pathway to full-time employment.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;RESPONSIBILITIES&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The Fellow will support applied research across three core project areas:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;Market Data: &lt;/strong&gt;Assist in evaluating, cleaning, and analyzing high-frequency and tick-level market data across asset classes and venues. Support work on data quality assessment, normalization, and storage efficiency.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;Market Infrastructure: &lt;/strong&gt;Support the assessment and documentation of Viking’s trading infrastructure, including connectivity to exchanges and execution venues. Research and summarize emerging technologies and best practices in low-latency and high-throughput execution systems.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;Optimal Routing Decisions: &lt;/strong&gt;Support quantitative analysis of order routing across venues, including work on transaction cost analysis (TCA) data. Research algorithmic routing strategies and smart order routing (SOR) design.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;In addition to these core workstreams, the Fellow will contribute to Viking’s broader research effort by sharing findings and insights across the trading and investment teams.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;QUALIFICATIONS&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Across Viking, we attract motivated, intellectually curious, and analytically rigorous people who are passionate about learning and creating impact. The ideal candidate will possess the f

&lt;p&gt;&lt;span style=&quot;color: #3d74cc; font-size: x-large;&quot;&gt;&lt;strong&gt;About Us&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;74&quot;&gt;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;AXQ Capital&lt;/strong&gt;&lt;/span&gt;&amp;nbsp;is a global quantitative investment firm with offices in&amp;nbsp;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;New York, Beijing, Shanghai, and Hong Kong&lt;/strong&gt;&lt;/span&gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;74&quot;&gt;&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;span style=&quot;font-size: 18pt; color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;Job Duties&amp;nbsp;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p&gt;As a Quantitative Researcher, you will gain exposure to all aspects of the investment process, including alpha generation, portfolio construction and trade execution. We have a collaborative environment in which you will leverage our top-notch research and trading infrastructure and work closely with the portfolio manager, other quant researchers and developers.&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;451&quot;&gt;&amp;nbsp;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;818&quot;&gt;&lt;span style=&quot;font-size: 18pt; color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;ul class=&quot;ak-ul&quot; data-indent-level=&quot;1&quot;&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;945&quot;&gt;Bachelor&#39;s, Master&#39;s or PhD degree from a top-tier university in a quantitative or technical field, such as math, physics, statistics, or computer science&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;945&quot;&gt;Self-motivated and highly-productive, with a strong sense of ownership and urgency&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;945&quot;&gt;Strong Python skills for conducting research&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;span style=&quot;color: #3d74cc; font-size: x-large;&quot;&gt;&lt;strong&gt;About Us&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;74&quot;&gt;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;AXQ Capital&lt;/strong&gt;&lt;/span&gt;&amp;nbsp;is a global quantitative investment firm with offices in&amp;nbsp;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;New York, Beijing, Shanghai, and Hong Kong&lt;/strong&gt;&lt;/span&gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;74&quot;&gt;&amp;nbsp;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;451&quot;&gt;&lt;span style=&quot;font-size: 18pt; color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;Job Duties&amp;nbsp;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;ul data-start=&quot;756&quot; data-end=&quot;1236&quot;&gt; &lt;li data-start=&quot;756&quot; data-end=&quot;900&quot;&gt; &lt;p data-start=&quot;758&quot; data-end=&quot;900&quot;&gt;Work under the guidance of experienced quantitative portfolio managers and researchers to develop and refine quantitative trading strategies&lt;/p&gt; &lt;/li&gt; &lt;li data-start=&quot;901&quot; data-end=&quot;1003&quot;&gt; &lt;p data-start=&quot;903&quot; data-end=&quot;1003&quot;&gt;Apply tools from probability, statistics, and machine learning to explore market patterns and edge&lt;/p&gt; &lt;/li&gt; &lt;li data-start=&quot;1004&quot; data-end=&quot;1079&quot;&gt; &lt;p data-start=&quot;1006&quot; data-end=&quot;1079&quot;&gt;Support cutting-edge research projects and alpha-generation initiatives&lt;/p&gt; &lt;/li&gt; &lt;li data-start=&quot;1080&quot; data-end=&quot;1155&quot;&gt; &lt;p data-start=&quot;1082&quot; data-end=&quot;1155&quot;&gt;Collect, clean, and analyze data; help maintain research infrastructure&lt;/p&gt; &lt;/li&gt; &lt;li data-start=&quot;1156&quot; data-end=&quot;1236&quot;&gt; &lt;p data-start=&quot;1158&quot; data-end=&quot;1236&quot;&gt;Learn and apply our proven methodologies on a professional research platform&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;818&quot;&gt;&lt;span style=&quot;font-size: 18pt; color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;ul data-start=&quot;1418&quot; data-end=&quot;1965&quot;&gt; &lt;li data-start=&quot;1418&quot; data-end=&quot;1586&quot;&gt; &lt;p data-start=&quot;1420&quot; data-end=&quot;1586&quot;&gt;Enrolled in a top-tier university (undergraduate or graduate) with a strong quantitative background (e.g., engineering, mathematics, physics, financial engineering)&lt;/p&gt; &lt;/li&gt; &lt;li data-start=&quot;1587&quot; data-end=&quot;1732&quot;&gt; &lt;p data-start=&quot;

&lt;p&gt;&lt;span style=&quot;color: #3d74cc; font-size: x-large;&quot;&gt;&lt;strong&gt;About Us&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;74&quot;&gt;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;AXQ Capital&lt;/strong&gt;&lt;/span&gt;&amp;nbsp;is a global quantitative investment firm with offices in&amp;nbsp;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;New York, Beijing, Shanghai, and Hong Kong&lt;/strong&gt;&lt;/span&gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;74&quot;&gt;&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;span style=&quot;font-size: 18pt; color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;Job Duties&amp;nbsp;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;451&quot;&gt;As a Senior Quantitative Researcher, you will gain exposure to all aspects of the investment process, including alpha generation, portfolio construction and trade execution. We have a collaborative environment in which you will leverage our top-notch research and trading infrastructure and work closely with the portfolio manager, other quant researchers and developers.&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;451&quot;&gt;&amp;nbsp;&lt;/p&gt; &lt;p data-renderer-start-pos=&quot;818&quot;&gt;&lt;span style=&quot;font-size: 18pt; color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;ul class=&quot;ak-ul&quot; data-indent-level=&quot;1&quot;&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;839&quot;&gt;&lt;span style=&quot;color: rgb(61, 116, 204);&quot;&gt;&lt;strong&gt;3+ years of work experience in quantitative trading or alpha research&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;945&quot;&gt;Bachelor&#39;s, Master&#39;s or PhD degree from a top-tier university in a&amp;nbsp;quantitative or&amp;nbsp;technical field, such as math, physics, statistics, or computer science&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;1103&quot;&gt;&lt;span class=&quot;fabric-text-color-mark&quot; data-renderer-mark=&quot;true&quot; data-text-custom-color=&quot;#000000&quot;&gt;Self-motivated and highly-productive, with a strong sense of ownership and urgency&lt;/span&gt;&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p data-renderer-start-pos=&quot;1189&quot;&gt;Strong Python skills for conducting research&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt;

&lt;div&gt;Research at GSA Capital means combining creativity, rigour and attention to detail in the design of systematic investment&amp;nbsp;strategies. Quantitative researchers utilise techniques from many branches of applied mathematics and statistics to evaluate large quantities of relevant data and develop models of financial markets with the aim of producing robust trading algorithms based on those models.&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;If you have outstanding academic credentials and believe you possess relevant attributes to successfully contribute towards the research, implementation and continued development of new and existing strategies, please get in touch.&lt;/div&gt;

Senior Threat Intelligence Researcher at Aegis ai. Apply via Ashby.