Top Research Jobs in NYC, NY

Conduct equity research covering small- and mid-cap biotechnology companies. Responsibilities include financial modeling, forecasting, valuation, analysis of filings and industry events, writing research reports, preparing presentations, and communicating with clients, management teams, and industry experts. The role also supports Sales and Trading by providing market updates and investment insights.

Conduct manager research, maintain investment data and monitoring tools, develop asset allocation studies and capital markets materials, support Morningstar reporting functionality, and provide advisors with research-driven resources and data support. The role requires translating investment insights into actionable client-facing deliverables while managing recurring reports, surveys, searches, and multiple deadlines.

Research Engineer responsible for identifying weaknesses in voice AI models, defining improvement targets, designing evaluations, curating and generating data, fine-tuning deep learning models, and rapidly shipping production systems. The role emphasizes end-to-end ownership of customer problems, measurable production improvements, practical judgment, and fast experimentation. Candidates should have strong Python and PyTorch skills, production ML experience, and ideally experience with speech technologies, distributed training, publications, open source, or public benchmarks.

Research and improve voice AI models by identifying production weaknesses, defining evaluation metrics, curating data, fine-tuning deep learning systems, and rapidly shipping solutions. The role focuses on speech-to-text, text-to-speech, voice agents, model evaluation, customer-driven research, and production machine learning systems.

Support Dscout clients in designing, recruiting, fielding, analyzing, and managing user research projects on the platform. Train clients on platform features, recommend research methodologies, create educational materials, assist with billing and administration, support research participants, and communicate client feedback internally to improve the product. The role requires strong client service, project management, user research knowledge, qualitative analysis skills, organization, empathy, and technical curiosity.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Leads enterprise AI research and development strategy, combining classical and generative AI into production-grade platforms, agentic systems, and customer products. Builds and scales teams of applied scientists and engineers, advances hybrid AI architectures, establishes experimentation and evaluation practices, and embeds responsible AI principles. Partners with senior leaders, academia, and industry to commercialize research and deliver measurable business impact.

Paid 10-week investment research internship supporting fixed-income research analysts and portfolio managers. Responsibilities include financial modeling, scenario analysis, bond portfolio surveillance, credit research, market data collection, dashboards, reporting, portfolio management projects, new deal analysis, and market research. Interns gain exposure to institutional investing, collaborate with investment professionals, and participate in training, networking, and a summer project.

Develop high-performance C++ systems for systematic investing, including real-time data processing, low-latency trading execution, and machine-learning inference tools. Design scalable distributed systems and resilient data pipelines, maintain critical production platforms, and build greenfield solutions in collaboration with quantitative researchers. Ensure software correctness, reliability, performance, and fail-safe operation in live-market environments while aligning technical work with business value.

Intern will help turn quantitative research into production equities trading strategies, optimize portfolio allocation and risk, minimize trading costs and market impact, monitor performance, and perform statistical research to improve risk-adjusted returns while making real-time allocation decisions under supervision.

Conduct commercially oriented AI/ML research with internal data scientists, engineers, and business stakeholders. Formulate problems, develop algorithms and models, run experiments, create benchmarks, evaluate results, and deliver tested Python code. Contribute to production-scale AI applications, reusable research assets, and high-impact initiatives. Communicate findings through presentations, publications, and white papers while researching areas such as synthetic data, foundation models, reinforcement learning, multimodal AI, multi-agent systems, formal reasoning, and privacy-preserving machine learning.

Conduct quantitative research and backtesting for credit trading strategies, implement production trading code, optimize client pricing, monitor performance, resolve trading issues, and collaborate with traders, sales, and technology teams to improve revenue and market-making across credit products.

Leads research and grant administration consulting for health services organizations. Manages client-facing workstreams, grant tracking, proposal development, reporting, compliance documentation, data gathering, and process improvement. Advises stakeholders on funding strategies, coaches multidisciplinary teams, reviews performance metrics, and translates complex policy and program information into practical deliverables for leaders, clinicians, and external reviewers.

Lead Datadog AI Research’s post-training and autonomous-agent research team. Set technical direction across reinforcement learning, simulated environments, synthetic data generation, evaluation, and agent training. Mentor researchers and research engineers while remaining hands-on in experimentation, model development, and technical problem-solving. Collaborate with Product and Engineering to commercialize research advances, contribute to publications and conferences, and open-source model artifacts and benchmarks.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Develops reinforcement learning environments and agentic integrations for defensive cybersecurity. Responsibilities include cybersecurity research, incident response, security analysis, vulnerability remediation, experiments, evaluations, production training runs, and collaboration with AI researchers and security specialists. The role requires machine learning, cybersecurity research, and strong software engineering skills, with potential on-call participation.

Leads the domestic research portfolio, shaping scientific strategy, overseeing research quality and execution, managing budgets and grants, fundraising, and supervising researchers across seniority levels. The role contributes to policy-relevant sexual and reproductive health research, develops organizational strategy, mentors staff, coordinates cross-divisional collaboration, and represents the Institute externally through presentations, partnerships, and advisory panels.

Conduct equity research on TMT and media companies by analyzing market, sector, corporate, and economic data; develop investment theses, valuations, financial models, and research reports. Present actionable recommendations to institutional clients and internal stakeholders, monitor market trends and company news, collaborate with compliance and supervisory teams, and support risk controls. The role may also involve leading projects and mentoring junior analysts.

Supports publication development for a mid-career survey of a living artist through primary and secondary research, checklist and database management, bibliography and image coordination, permissions, correspondence, and timeline management across museum departments and co-organizing institutions.

Staff AI Research Engineer developing and training large-scale speech and machine learning models, including ASR, TTS, and speech-to-speech systems. Responsibilities include feature engineering, training-data development, fine-tuning, reinforcement learning, evaluation, deployment, and monitoring. The role collaborates with product and cross-functional teams, contributes to strategic decisions, mentors engineers, and ensures scalable, high-quality ML solutions.

Design and develop GPU-native numerical algorithms for engineering simulation and AI-native computational methods. Responsibilities include creating linear and nonlinear solvers, multigrid and domain decomposition methods, mixed-precision algorithms, and sparse linear algebra approaches. The role evaluates performance across engineering workloads, collaborates with research and engineering teams, develops numerical software in C++, Python, and CUDA, and advances prototypes into production NVIDIA software.

Coordinates low- to moderate-complexity clinical trials and supports high-enrollment studies. Responsibilities include scheduling and conducting participant visits, collecting medical histories and vitals, performing ECGs and phlebotomy when trained, processing specimens, maintaining source documents and regulatory files, managing investigational product accountability, supporting enrollment and participant follow-up, preparing for monitoring visits and audits, resolving data queries, and tracking study metrics under senior coordinator guidance.

Conduct equity derivatives research, evaluate companies, build financial models, analyze macro and cross-asset markets, and develop tactical trading, volatility, hedging, and systematic alpha strategies. Present market insights and recommendations to institutional clients and trading teams while collaborating with structuring, research, data science, and economics teams. Ensure research complies with regulatory, risk, and control requirements.

Leads rigorous qualitative and multidisciplinary research on how AI agents transform work, organizations, roles, judgment, trust, accountability, and decision-making. Defines research questions, conducts longitudinal and comparative studies, synthesizes evidence, and translates findings into guidance for designing human-AI systems, workflows, and operating models. Collaborates with researchers, designers, engineers, leaders, customers, and external communities, and communicates insights responsibly across Microsoft and industry.

Conduct biotech equity research by analyzing companies, sectors, markets, financial statements, and economic data; develop valuations, investment theses, reports, and recommendations. Present findings to institutional clients and internal stakeholders, collaborate with senior analysts and control functions, monitor market developments, support compliant research delivery, and potentially lead projects or mentor junior analysts.