advanced software engineer Jobs in New York

advanced software engineer

analytical chemist

applied scientist

applied scientist ii, prime video - personalization and discovery science Jobs in New York

applied scientist ii, prime video - personalization and discovery science

applied scientist ii, prime video - personalization and discovery science, personalization and discovery science Jobs in New York

applied scientist ii, prime video - personalization and discovery science, personalization and discovery science

research scientist

NYU Langone Health

<div>
 1149536_RR00109957 Job ID: 1149536_RR00109957
 <br/>
 <br/>
 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 <br/>
 <br/>
 <em>
  For more information, go to
 </em>
 <em>
  med.nyu.edu
 </em>
 , and interact with us on
 <em>
  LinkedIn
 </em>
 ,
 <em>
  Glassdoor
 </em>
 ,
 <em>
  Indeed
 </em>
 ,
 <em>
  Facebook
 </em>
 ,
 <em>
  Twitter
 </em>
 <em>
  and
 </em>
 <em>
  Instagram
 </em>
 .
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 We have an exciting opportunity to join our team as a Assistant Research Scientist.
 <br/>
 <br/>
 In this role, the successful candidate will be responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory.
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.
  </li>
  <li>
   May manage the operations of a lab for the Principal Investigator by supervising Post Docs and technicians. Oversees the maintenance and upkeep of all instruments and laboratory facilities.
  </li>
  <li>
   Ensures timely and accurate completion of research projects.
  </li>
  <li>
   May provide students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols.
  </li>
  <li>
   May seek grant funding from external sources in support of their independent research projects with consent of the PI and the Department Chair. May participate in writing grant proposals.
  </li>
  <li>
   May be responsible research/lab quality control and compliance.
  </li>
  <li>
   May develop protocol for the collection and quality of research data.
  </li>
  <li>
   Develops research techniques and methodologies.
  </li>
  <li>
   May determine and establish laboratory policies, procedures and practices.
  </li>
  <li>
   Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.
  </li>
  <li>
   May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations.
  </li>
  <li>
   May provide recommendations for equipment purchases and for the redesign of lab space.
  </li>
  <li>
   May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems.
  </li>
  <li>
   Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.
  </li>
  <li>
   Formulates and conducts research on problems of considerable scope and complexity.
  </li>
  <li>
   Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
  </li>
  <li>
   Makes decisions and recommendations that have a major impact on extensive scientific research activities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 To qualify you must have a MS degree in a related discipline and 0-1 year of experience or equivalent combination of education and experience.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Substantial experience from having completed Post Doc training. Established a record of publications
 <br/>
 <br/>
 <em>
  Qualified candidates must be able to effectively communicate with all levels of the organization.
  <br/>
  <br/>
 </em>
 NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 <br/>
 <br/>
 NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 <br/>
 <br/>
 View Know Your Rights: Workplace discrimination is illegal.
 <br/>
 <br/>
 NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $55,000.00 - $70,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
 <br/>
 <br/>
 To view the Pay Transparency Notice, please click here
</div>


Assistant Research Scientist

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots complex physics problems and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
  <li>
   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #physics
</div>


Energy Research Scientist

Research Foundation for Mental Hygiene, Inc.

<div>
 Job Title: Assistant Research Scientist IIGrade: 19Salary: $68,278-$82,189The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Assistant Research Scientist position for the Molecular Imaging and Neuropathology (MIND) Area Molecular Imaging and Neuropathology (MIND) Area. This position involves processing and analysis of brain imaging data - mainly, Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) - in a psychiatric brain imaging laboratory.Duties and Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Multiple stages of brain image data processing, some using graphical user interfaces (GUIs) and some with command-line scripting
  </li>
  <li>
   Downloading data from PET and MRI centers into the laboratory database and managing the database to insure data are intact and available
  </li>
  <li>
   Quality control of imaging data
  </li>
  <li>
   Managing and prioritizing multiple projects simultaneously; maintaining excellent communication with multiple investigators regarding status of ongoing projects
  </li>
  <li>
   Assisting in preparation of methods, results, tables and figures for publications and presentations using programs including Excel, SPSS, PowerPoint, Keynote and beyond.Minimum Qualifications:
  </li>
  <li>
   Bachelor&rsquo;s Degree, ideally in a relevant field such as biomedical engineering, computer science, mathematics, physics, or neuroscience.Preferred Qualifications:
  </li>
  <li>
   At least (1) year of experience with data processing of functional and structural MRI and/or PET imaging data preferred.Work Location: 1051 Riverside Drive, New York, NY 10032To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.
  </li>
 </ul>
</div>


Assistant Research Scientist II

New York University

<div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Physics Department
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>New York, NY
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Oct 06, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Research assistance in Prof Jesse Liu's group focused on testing and quality control of ATLAS Inner Tracker strip modules being constructed at Brookhaven National Laboratory.</p><br>
<p></p>
<p>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $18.00/hr - $30.00/hr. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.</p></div></div></div></div></div>

Non-Exempt Assistant Research Scientist

Research Scientist Intern, Computer Use Agents (PhD)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
At Secure Work Enablement (SWE), we're pioneering breakthrough AI technologies that are fundamentally transforming how millions of teams and businesses work. Our mission combines leading machine learning research with Amazon's unparalleled expertise in enterprise computing and security to create the next generation of intelligent workplace solutions.<br>
<br>
Our portfolio encompasses four innovative domains where applied AI research is critical: Next-Generation End User Computing, where we're developing novel machine learning models for human-AI collaboration; Amazon One's advanced biometric systems; Secure Collaboration platforms Wickr and Chime; and Gaia &ndash; our revolutionary AI-native workspace that's redefining human-AI agent interactions. Each area presents unique opportunities for advancing the state-of-the-art in machine learning, natural language processing, and AI systems.<br>
<br>
We're at an inflection point where traditional workplace computing is being revolutionized by AI technologies. Our distinctive challenge lies in solving complex machine learning problems at scale while maintaining strict security requirements &ndash; from developing sophisticated ML models for secure information access to creating intelligent systems that can understand and enhance human productivity in real-time.<br>
<br>
With an accomplished team of 650+ technologists and multiple tier-1 services, we're seeking a Senior Principal Scientist to spearhead our AI research and development initiatives. This role offers the opportunity to tackle unprecedented challenges in applied machine learning, including:<br>
<br>
<ul><li>Developing novel AI architectures for secure, enterprise-grade collaborative systems</li><li>Advancing the science of human-AI interaction in workplace environments</li><li>Creating new frameworks for AI agent orchestration and optimization</li><li>Pioneering new approaches to privacy-preserving machine learning</li></ul><br>
Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across multiple research teams and beyond SWE's boundaries.<br>
<br>
Key job responsibilities<br>
As a Senior Principal Scientist in Secure Work Enablement (SWE), you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable teams and agents to collaborate effectively. You will have the opportunity to invent new approaches that help our customers achieve better results using natural language as the interface. Your inputs will shape the future of work.<br>
You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production. You will stay abreast of the latest developments in the field of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our business, driven by our customer&rsquo;s needs, and translate it into actionable plans for our team of applied scientists, and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to leading research and mentoring.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Graduate degree in Computer science/Math or related field.</li><li>Experience in building complex, real-time systems involving Agentic AI, Personalization and Reinforced Learning with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
</li><li>Computer Science fundamentals in data structures, algorithm design and complexity analysis.
</li><li>Ability to develop machine learning platform strategy in the domain of recommender systems.
</li><li>Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.</li></ul><h2 class="jobSectionHeader"><b><br>
PREFERRED QUALIFICATIONS</b></h2><ul><li>15+ years of relevant, broad research experience after PhD degree or equivalent.</li><li>Ability to take a project from requirements gathering and design to actual product launch</li><li>Exceptional customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet timelines with optimal solutions. Deep expertise in Machine Learning as applied to large-scale generative models Proficiency in programming for algorithm and code reviews.</li><li>Strong core competency in mathematics and statistics.
</li><li>Track record of successful projects in algorithm design and product development.
</li><li>Publications at top-tier peer-reviewed conferences or journals.
</li><li>Strong prior experience with mentorship and/or management of senior scientists and engineers.
</li><li>Thinks strategically, but stays on top of tactical execution.
</li><li>Exhibits excellent business judgment; balances business, product, and technology very well.
</li><li>Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $240,100/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Principal Scientist, Secure Work Enablement

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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. 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.
<br>
<br>
Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
<br>
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 8+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands Off-Search

Explore 157+ Research scientist in New York this October. Find roles across top companies and apply now to boost your career.