Remote Jobs for Reseachers, Research Engineers, Research Scientists, & Research Analysts

Research intern supporting next-generation memory and system architecture development for AI and datacenter workloads. Responsibilities include characterizing AI training and inference workloads, building analytical and simulation performance models, evaluating memory and integration technologies, validating models against reference data, and producing performance, efficiency, and cost analyses. The intern will document findings, contribute to technical reports and invention disclosures, and help quantify architectural tradeoffs for future memory products.

Conduct red-team assessments of formally verified systems, evaluating proofs, specifications, threat models, and trusted computing bases. Build AI-driven vulnerability discovery, triage, and exploit-generation tooling; identify and demonstrate exploitable weaknesses in software and infrastructure. Produce rigorous security reports, publish methodologies, collaborate with domain experts and third parties, and deliver engagements on fixed schedules.

Manages clinical trial investigator sites from initiation through closeout, conducting onsite and remote monitoring, ensuring patient safety, GCP and regulatory compliance, resolving protocol and data issues, supporting enrollment and database release, overseeing investigational products, and managing documentation, audits, CAPAs, and site relationships. Mentors CRAs, supports feasibility and activation activities, and contributes to process-improvement initiatives. The role requires significant travel within the assigned cluster.

Manages investigator sites throughout clinical trials, including initiation, monitoring, recruitment support, compliance, patient safety, investigational product oversight, data query resolution, documentation, corrective actions, and site close-out. Serves as the primary site contact, coordinates with study teams and vendors, supports regulatory and audit activities, and ensures trial execution meets protocols, Good Clinical Practices, applicable regulations, timelines, and quality standards. Significant regional travel, occasional international travel, and some weekend travel are required.

Manages and monitors investigator sites throughout clinical trials, from feasibility and initiation through database lock and closeout. Ensures patient safety, protocol compliance, data quality, regulatory adherence, investigational product oversight, and timely issue resolution. Partners with investigators, study teams, vendors, and drug safety personnel; supports recruitment, audits, CAPA activities, regulatory inspections, and database release. Also mentors CRAs and contributes to process improvement initiatives. Requires 60–80% regional travel, with occasional international and weekend travel.

The role involves supporting research collaborations in oncology, engaging KOLs, managing study proposals, and contributing to medical writing and strategy development.

Own Deepgram’s end-to-end text-to-speech research program, including technical strategy, model architectures, experiments, training, evaluation, and production deployment. Lead researchers and technical managers, establish roadmaps, advance naturalness, expressiveness, multilingual generation, controllability, voice consistency, and inference efficiency, and partner with engineering and product leadership to ship high-quality models.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Design, build, and maintain distributed cloud services to support advanced threat detection. Collaborate with security, data science, and engineering teams to integrate capabilities into the Falcon platform, ensure production reliability, and leverage AI/LLMs to improve detection and automation. Mentor peers and contribute to scalable, high-availability system architecture.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Design and execute prospective IRB-approved clinical studies, manage consent and patient enrollment, build cross-functional research infrastructure, pull and QC clinical datasets, create dashboards to monitor study health, and draft white papers, abstracts, and manuscripts for publication.

Perform tax form and regulation research, interpret tax code updates, guide programmers on calculation changes, design and execute tests, document calculations, contribute release notes and customer guidance, and support tax software products remotely.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Lead and oversee the UX research function, setting strategy, executing research, and mentoring the team to support product development and design at Collectors.

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.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

Field-based Senior Medical Science Liaison to engage oncology KOLs and investigators, manage external research collaborations (investigator-initiated trials, biobank grants, real-world studies), liaise between data scientists and clinicians, support medical writing and publication planning, and drive research strategy and stakeholder communication across Medical Affairs, Commercial, and R&D. Travel up to 50%.

Participate in an in-home study by installing two video-only devices for 7–10 days, share at least 120 hours of footage per device, review and delete clips on a provided laptop, and provide consent for yourself and other adult household members. Devices are delivered and picked up at your home; must live in the Boston area and be comfortable using a computer and communicating in English.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Develop and apply stochastic cost models and quantitative analyses to evaluate supplier proposals, estimate construction costs from designs, quantify materials/labor/equipment, analyze subcontractor bid realism, perform close-out cost analysis, and coordinate cost constraints with project managers to support risk-informed decision making.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.