Research Scientist

• Set technical direction for core replenishment R&amp;D.
• Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty.
• Drive fundamental changes to our core system from research through production.
• Lead research and development for new product and business challenges.
• Mentor scientists and engineers, set standards for experimental rigor.

Staff Applied Scientist

• Design simulation environments and digital twins for enterprise workflows
• Post-train LLM agents using RLHF, DPO, GRPO, PPO, and emerging methods
• Build pipelines that convert human-labeled traces and verifiable signals into training data
• Architect multi-turn, tool-using agents with closed learning loops
• Design reward functions and verifiers that resist reward hacking and reflect real task outcomes
• Set the technical bar across the team — architecture, code review, engineering standards
• Mentor researchers and engineers; drive technical direction through influence
• Translate research into production; contribute to publications

Staff Research Scientist – Reinforcement Learning

• Provide veterinary clinical, technical, and scientific expertise on in-house and CRO-based studies from protocol development through necropsy, clinical pathology, and histopathology evaluations.
• Collaborate closely with toxicologists and study operations professionals.
• Work independently to leverage literature to develop and optimize best-evidence arguments in support of data interpretation or experimental approaches.
• Lead or coauthor high quality scientific manuscripts and regulatory documents.
• Collaborate with in vitro systems scientists to characterize and qualify assays for assessment of toxicity.
• Design and conduct in vitro and/or in vivo investigative and mechanistic studies in collaboration with toxicologists and subject matter experts.
• Advance applications of digital pathology for greater scientific insights and workflow efficiencies.
• Participate in the therapeutic area focused Expert Working Groups.
• Participate in and lead interdisciplinary project teams.

Principal Scientist, Pathology

• Partner closely with a national intermediary to design and operationalize evaluation and learning frameworks aligned with their place-based partners’ strategy, capacity, and context.
• Lead the identification of metrics, data points, data sources, and data collection processes that balance rigor with feasibility.
• Develop evaluation work plans, including timelines and sequencing for data collection, data entry, analysis, reporting, and learning cycles.
• Translate evaluation needs into clear guidance for data systems, working with partner staff and technical administrators as needed.
• Support early execution of evaluation and learning activities, particularly during start‑up phases, while partners build internal capacity.
• Develop tools, templates, and protocols that enable partners to sustain evaluation and learning processes over time.
• Serve as a thought partner to practitioner staff—connecting data, evidence, and learning to real‑world decision‑making.
• Produce high‑quality deliverables such as evaluation frameworks and playbooks, data collection tools and protocols, reporting templates, learning briefs, and synthesis memos.

Senior Researcher, Place-Based Evaluation & Learning

• Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development.
• Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead.
• Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops.
• Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities.
• Develop GPU-accelerated implementations to ensure the full pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Senior Quantum Applied Research Scientist, Calibration and Decoding

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
• Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead.
• Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Senior Quantum Applied Research Scientist, Physics Modeling

• Define and drive long-term technology roadmaps for topological qubits, including materials, device architectures, and integration strategies
• Lead development of topological quantum devices, with direct involvement in experiments, simulations, and prototype evaluation
• Work closely with device, integration, process, AME, PDK, and test teams to translate concepts into scalable semiconductor architectures
• Guide R&D of advanced materials, including III‑V heterostructures, epitaxy, superconductors, and topological material systems
• Contribute to experimental design, data analysis, and failure learning cycles for quantum devices
• Define system architectures linking qubits with cryogenic control and read-out electronics
• Drive modeling and validation strategies to improve coherence, performance, manufacturability, and scalability
• Translate device innovations into semiconductor-compatible integration approaches (BEOL, superconducting wiring, heterogeneous integration)
• Establish technical benchmarks, requirements, and success metrics aligned with internal and partner programs
• Serve as primary technical interface with customers and research partners to shape joint development efforts
• Lead and contribute to external collaborations, funded programs, and research proposals
• Communicate technical strategy, risks, and tradeoffs to leadership and multidisciplinary teams
• Mentor engineers and establish technical standards across topological quantum R&D

Quantum Topological Qubits Research Scientist

• Independently build, align, and execute technical plans to achieve objectives across multiple programs
• Timely delivery of hands-on data analysis, visualization, and interpretation for Discovery portfolio decision-making
• Substantially impact Discovery programs through direct technical execution and indirect contribution as a member of Discovery project teams
• Collaborate with cross-functional teams to drive computational insights for Discovery programs

Principal Scientist, Computational-Immunology Discovery

• Execute high-level research in computer graphics, HCI, or ML to solve simulation challenges.
• Develop intuitive workflows for garment construction that bridge the gap between 2D and 3D.
• Convert theoretical discoveries into optimized, production-ready code with our engineering teams.
• Identify and resolve architectural bottlenecks to maintain the performance of the core engine.
• Manage collaborative projects with external partners to integrate emerging tech into our roadmap.

Research Scientist, R&D

• Design and train foundation models at scale to answer challenging research questions in large-molecule drug discovery and protein engineering.
• Leverage massive structural biology and biophysical datasets, building novel architectures that capture complex geometric and physical priors.
• Contribute to publications and present scientific findings at internal and external venues.
• Solve real, pressing problems in drug discovery that enable new portfolio capabilities.
• Drive publications and present scientific findings at internal and external venues.

Machine Learning Research Scientist, Senior

• Designs and implements program-specific late development biomarker/translational plans, responsible for aiding in creation of clinical protocols, SAPs, SOWs, lab manual, and interfacing with CRO for execution of services, in conjunction with Biospecimen Operations and Procurement.
• Determines appropriate assays and vendors for clinical biomarkers, and manages outsourcing of biomarker assay development and validation partnering with Translational Sciences colleagues when applicable
• Manages clinical biomarker data delivery and analysis and associated timelines by working with relevant internal functions and CROs
• Prepares and delivers internal and external translational/biomarker presentations
• Maintains timelines for biomarker data related publication through interaction with Medical Communications and Publication team as needed
• Keeps up-to-date on relevant scientific/technical literature in order to applying external knowledge to internal research programs as appropriate and acts as a subject-matter expert within the team to critically evaluate the literature regarding the asset and disease biology
• Works with TM laboratory scientists and academic TLs to address nonclinical translational questions
• Participates in post-hoc biomarker analysis and publication efforts
• Supports regulatory submissions and regulatory interactions as needed

Senior Principal Scientist, Neuroscience, Clinical Biomarker, Late Phases, Translational Medicine

• Innovation: You have ideas and you move fast. You care about impact, not just effort.
• Cross-Stack Optimization: You collaborate across software, hardware, and algorithmic domains to unlock system-wide efficiency gains.
• Measure What Matters: The ultimate signal of value is real-world impact. Our current algorithms are capable of interacting with the world which is why product thinking is inseparable from research.

Senior Research Scientist

• Lead end-to-end research projects focused on client (venue, promoter, sports team) needs, pain points, and opportunities, from study design through synthesis and stakeholder presentation
• Design and manage client-facing intercept survey programs and other continuous listening mechanisms that track experience quality and sentiment across key touchpoints in the client journey
• Build strong, credible partnerships with Product, Design, Engineering, Operations, and Sales teams, serving as the primary research voice for client-side priorities and informing product roadmap and go-to-market decisions
• Develop and maintain research frameworks and feedback loops that systematically translate client insights into actionable product and marketing decisions
• Apply advanced research methodologies across qualitative and quantitative approaches, including interviews, usability testing, surveys, concept validation, and journey mapping, tailored to a B2B client context
• Independently manage multiple research work streams with comprehensive project plans, clear timelines, and consistent quality standards
• Craft compelling research narratives and data visualizations that translate complex findings into clear, strategic recommendations for audiences from product managers to senior leadership
• Champion democratized research by establishing best practices, playbooks, and tools that enable cross-functional partners (PwDR) to conduct and apply research confidently and responsibly
• Contribute to the team’s AI research capabilities by identifying and piloting AI-assisted methods that improve research speed, scale, and quality
• Partner with other insights and analytics teams to triangulate behavioral data with primary research, creating a comprehensive view of the client experience
• Contribute to the team’s research strategy and prioritization process, demonstrating thought leadership and helping shape which client-focused research projects deliver the most strategic value
• Mentor junior researchers and non-researcher partners in research fundamentals, client research methods, and best practices

Senior Researcher, B2B

• Manage day-to-day project operations in roles such as principal investigator, project director, or task lead.
• Lead collaborative project teams by developing timelines, coordinating staff assignments, and ensuring deliverables are completed on time, within budget, and to a high standard.
• Identify research problems and design studies to address key questions in applied research contexts.
• Apply subject-matter expertise to design and implement relevant, responsive, and impactful research projects.
• Develop study designs with aligned research questions, methodologies, and analytic plans.
• Lead and contribute to research proposals for federal, state, foundation, and other clients.
• Devise and implement innovative solutions to practical challenges in applied research.
• Lead data collection and analysis efforts.
• Oversee the design and planning of qualitative and/or quantitative data collection tools, such as interview protocols, focus group guides, and surveys.
• Supervise field-based data collection activities, including interviews, observations, focus groups, and document reviews.
• Conduct or oversee data analysis using appropriate tools and techniques for various data types.
• Communicate study progress and findings clearly and effectively.
• Prepare reports, briefs, visualizations, and other materials that interpret and present research findings for clients and stakeholders.
• Represent the organization professionally in all client interactions.
• Communicate effectively, both orally and in writing, with clients, partners, and stakeholders.
• Foster and maintain positive, collaborative working relationships.
• Manage client and stakeholder relationships with professionalism and awareness of the broader policy and practice landscape.
• Contribute thoughtfully and creatively to project teams.

Senior Researcher, Employment and Economic Opportunity – Part-Time

• Lead the design and execution of rigorous applied research or evidence-driven technical assistance projects and support project leadership across work of increased scope and complexity.
• Assume primary responsibility for writing reports and presentations that describe and interpret evidence for practitioners and policymakers.
• Design and apply appropriate qualitative and/or quantitative methods to collect, manage, analyze, and interpret data, maintaining AIR’s quality standards.
• Translate complex findings into clear, actionable insights and recommendations for client reports, technical memos, and presentations.
• Manage projects or major workstreams of increased scope and complexity, including planning timelines, overseeing deliverables, and managing project-level client relationships.
• Engage with stakeholders and partners through meetings, briefings, and dissemination activities.
• Contribute to a collaborative, inclusive work environment by providing guidance and feedback to team members and supporting high-quality project outcomes.

Senior Researcher, Education Systems and Policy – Part-Time

• Develop and run distillation pipelines to transfer capabilities from large teacher models into smaller, efficient student models.
• Carry out and refine post-training methods including supervised fine-tuning (SFT), preference optimization (DPO/GRPO), and reward-based learning.
• Build infrastructure and tools for teacher rollout creation, distillation data pipelines, and training workflows.
• Carry out experiments aimed at improving model quality, efficiency, and instruction alignment for generative AI models.
• Collaborate closely with research scientists to convert research ideas into scalable training pipelines and production-ready implementations.
• Evaluate models using both automated metrics and human preference signals to guide post-training improvements.
• Optimize models for deployment efficiency, including distillation, model compression, and inference performance.
• Collaborate with various groups such as data, research, and product units to incorporate post-training improvements into Adobe Firefly systems.

Senior Applied Scientist

• Lead the design and delivery of ML and GenAI solutions for complex, ambiguous, cross-functional problems.
• Define success metrics, validation plans, and pathways to production.
• Partner with product, engineering, and domain experts to translate business needs into feasible technical roadmaps, de-risking assumptions and aligning milestones to outcomes.
• Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making.
• Mentor junior scientists and engineers, share best practices, and cultivate a high bar for scientific rigor, coding standards, and reproducibility.
• Communicate approach, trade-offs, and results to technical and non-technical audiences; provide realistic estimates and influence decision-making across the organization.

Senior Applied Research Scientist

• Develop and scale antibody design capabilities from prototype to application : Advance agentic antibody design approaches into robust, reusable workflows that support preclinical discovery efforts.
• Build and apply state-of-the-art models for biologics design : Develop methods for protein structure modeling, binder design, affinity/specificity prediction, and developability property prediction using internal and external datasets.
• Deliver reliable, production-ready research tools : Own end-to-end development of computational pipelines, with strong emphasis on reproducibility, benchmarking, and maintainable, well-documented code.
• Lead through influence : Partner with computational and wet-lab teams to prioritize capabilities, translate insights into actionable decisions, and communicate clearly to technical and non-technical audiences.

See all jobs on JobTailor

Staff Applied Scientist

Staff Research Scientist – Reinforcement Learning

Principal Scientist, Pathology

Senior Researcher, Place-Based Evaluation & Learning

Senior Quantum Applied Research Scientist, Calibration and Decoding

Senior Quantum Applied Research Scientist, Physics Modeling

Quantum Topological Qubits Research Scientist

Principal Scientist, Computational-Immunology Discovery

Principal Scientist, Computational-Immunology Discovery

Research Scientist, R&D

Machine Learning Research Scientist, Senior

Senior Principal Scientist, Neuroscience, Clinical Biomarker, Late Phases, Translational Medicine

Senior Research Scientist

Senior Researcher, B2B

Senior Researcher, B2B

Senior Researcher, Employment and Economic Opportunity – Part-Time

Senior Researcher, Education Systems and Policy – Part-Time

Senior Applied Scientist

Senior Applied Research Scientist

Principal Scientist, Computational Sciences – Protein Structure Prediction and Design