We are seeking a talented and experienced blockchain researcher to join our trading firm in a full time role. The ideal candidate should have a strong background in one of the following: EVM blockchains, EVM Layer 2 networks, and non-EVM Layer 1s. Additionally, the candidate should have the ability to quickly learn new blockchain networks and adapt to new environments, work well under pressure, and have flexibility in working hours. The purpose of this role is to leverage strong on-chain experiences to be part of an alpha generating team for a premier, crypto-native hedge fund. Responsibilities - Respond to urgent market events to provide accurate and timely analysis of on-chain activities to inform trading decisions. - Detailed experience with token supply analysis with a focus on token genesis, wallet attribution and insider activities. - Monitoring of onchain activity and alerts for potential tradeable events. - Effectively communicate complicated blockchain activities to the trading and research teams. - Collaborate with the on-chain engineering team to acquire blockchain data for alpha research. - Obtain a thorough understanding of the existing Hermeneutic on-chain analytics frameworks and integrate with the existing trading, research, and data teams. - Use their understanding of blockchain networks and market events to aid in the improvement and expansion of current analytics frameworks and methods. - Continually evaluate new analysis platforms and publicly available research to aid in thematic market research. - Use their on-chain analytics experience to evaluate non-EVM blockchains when trading opportunities are presented. - Uses their knowledge of onchain activity and market dynamics to source trade ideas.

• Lead and scale high-impact research across product development, brand strategy, and marketing. Independently conduct complex generative and evaluative studies that uncover unmet needs, inform product vision, and de-risk decisions at scale. • Implement advanced AI-native practices and embed AI into research workflows to ensure speed, quality, and impact. Define what it means to work AI-natively across research internally and for our customers. Stay up to date on the latest AI-based research techniques and tools. • Connect the dots, patterns and connections across teams. Ensure insights are shared across teams and inform decisions. Partner with senior leadership to identify and evangelize the highest-impact opportunities for our customers. • Be the in-house expert across all core research methods, including usability testing, ethnographic research, surveys, segmentation, message testing, brand tracking, and concept validation. • Coach designers, marketers, product managers and other employees on conducting research, reviewing their projects and adapting the AI first workflow based on needs. • Lead and moderate company-wide Voice of the Customer (VoC) sessions, interviewing real customers in live forums to bring their perspectives directly to cross-functional teams • Manage external research contractors and vendors, including scoping, quality control, and budget alignment • Build and scale a research enablement model, coaching designers, marketers, and product managers to run self-serve research with confidence and consistency. Develop tools, templates, and guidance that scale research capabilities and impact. • Collaborate with cross-functional leadership to build and prioritize a unified, impact-driven research roadmap • Be a skilled communicator to peers to executives. Articulate effective customer stories to drive change and inform strategy of product initiatives to business strategy.

Description We are seeking a senior mixed-methods researcher to join a multidisciplinary dynamic contractor team supporting a federal agency’s customer experience and human-centered design initiatives. In this role, you will lead research efforts that generate actionable, data‑driven insights to inform service design, digital product development, and policy decisions. You will work closely with stakeholders, CX strategists, designers, data analysts, engineers, and technologists to ensure that customer voices are embedded throughout the product and service lifecycle. Job Location: This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. Key Responsibilities: - Design and lead quantitative and qualitative research studies including surveys, interviews, usability tests, and ethnographic methods. - Lead survey strategy and creation, deployment, and analysis of results to uncover actionable insights and measure customer sentiment. - Ensure research practices comply with ethical standards, including informed consent and protection of personally identifiable information. - Synthesize qualitative and quantitative data into clear, compelling insights that inform design, product, and policy decisions. - Translate findings into research artifacts such as reports, personas, journey maps, service blueprints, and data visualizations. - Provide strategic direction to analysts on data visualization approaches, ensuring insights are understandable and actionable. - Present findings to stakeholders across government agencies, including senior leaders, advocating for customer-centered improvements. - Partner with CX strategists, service designers, data scientists, and technologist to validate concepts, improve usability, and enhance service delivery. - Apply Human-Centered Design and service design principles across digital and non-digital touchpoints. - Contribute to Voice of the Customer (VoC) programs by analyzing feedback channels, comment streams, and behavioral data. Contribute to a research strategy and roadmap aligned with program and agency priorities. - Collaborate with stakeholders to define CX success metrics and evaluate the impact of research‑driven recommendations on service quality and outcomes. - Support continuous improvement efforts by linking research insights to service performance and outcomes. - Thrive in a fast-paced contractor environment, adapting to evolving priorities and collaborating across multiple teams and disciplines. Required Qualifications: - US Citizenship is required by the federal government for this position - Must be able to obtain Public Trust clearance. - MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply. - 7+ years of experience in UX/CX research, market research, human factors, behavioral science, or related disciplines. - Bachelor’s degree in Psychology, Sociology, Anthropology, Human Factors, HCI, Behavioral Science, UX Research, Service Design, Public Policy, or related field. Preferred Qualifications: - Figma for collaborating, workshopping, prototyping and wireframing - Qualtrics for survey deployment and analytics - Usertesting.com or similar platforms for usability testing or interviews - Microsoft Office for analysis, reporting, and cross-team collaboration - Familiarity with Tableau, Power BI, or similar tools for data visualization - Demonstrated expertise in both qualitative and quantitative research methods, including advanced survey design and mixed-methods synthesis. - Proven experience conducting service design and customer experience research (e.g., journey mapping, VoC programs, pain‑point identification). - Demonstrated experience working with federal agencies. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $119,323.00 - $202,850.00 Nationwide Remote Office (US99)

Role Description As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments. You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution - not just offline model performance. This is a hands-on technical leadership role operating at the intersection of research, systems, and product. - Drive technical breakthroughs in agentic infrastructure and applied AI systems. - Own the end-to-end research-to-production lifecycle. - Set the standard for how ML systems are designed, evaluated, and deployed across Trase. Responsibilities - Technical Leadership & Innovation: - Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications. - Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development. - Act as a principal technical authority, making high-impact architectural and modeling decisions across teams. - Research → Prototype → Production: - Develop prototypes for key technologies to validate new approaches and de-risk system design. - Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration. - Translate advances in ML into scalable, production-grade systems with measurable impact. - Agentic Systems & Applied ML: - Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution. - Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability. - Establish patterns for planning, decision-making, and tool orchestration within complex systems. - Evaluation, Quality & Reliability: - Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks. - Establish evaluation systems that connect model performance to task success and system-level outcomes. - Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling. - ML Systems & Platform Integration: - Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring. - Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization. - Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment. - Enterprise & Regulated Deployments: - Build and deploy enterprise-grade AI systems used by global customers in production environments. - Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments. - Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements. - Communication & Influence: - Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions. - Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders. - Drive alignment across research, engineering, and product through strong technical leadership. - Mentorship & Organizational Impact: - Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking. - Establish and propagate best practices for ML system design, evaluation, and reliability across the organization. - Influence technical direction beyond immediate teams through high-impact, cross-functional work. Qualifications - 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments. - Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts. - Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning. - Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design. - Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale. - Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems. - Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes. - Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems. - Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact. Nice to Have - Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches. - Experience building and operating AI/ML platforms that support the full model lifecycle. - Experience optimizing ML inference in real-time, distributed, or resource-constrained environments. - Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries. - Prior experience operating at the Staff or Principal level in a scaling organization. Salary Range $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors. Benefits - Career track opportunity with potential for rapid advancement with strong performance as the firm grows. - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind. - Cost effective GLP-1 solutions available through Crux.