• Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges • Perform initial manual data quality review to deeply understand failure modes • Build systems to automate quality checks at scale using rule-based and AI-driven approaches • Design hybrid systems that balance automation with human-in-the-loop review • Continuously improve verification methods as the data landscape and AI tooling evolve

Role Description This is the company's top hiring priority and a genuinely hard research problem. Because data flows through a decentralized marketplace, ensuring quality at scale is the single biggest bottleneck to growth. As a Research Engineer, you will build the automated systems that verify and assure data quality so that suppliers consistently deliver excellent data to buyers. You will start by digging into the data manually to understand failure modes, then design systems to automate quality checks at scale, combining rule-based approaches with AI for fuzzier cases and human-in-the-loop review where it makes sense. Responsibilities - Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges - Perform initial manual data quality review to deeply understand failure modes - Build systems to automate quality checks at scale using rule-based and AI-driven approaches - Design hybrid systems that balance automation with human-in-the-loop review - Continuously improve verification methods as the data landscape and AI tooling evolve Qualifications - Deeply technical, with a strong learning slope and the ability to ramp quickly in a fast-moving field - Background in AI/ML engineering, or software engineering at an AI-focused company with data ingestion and processing experience - Ability to reason about likely data quality problems from first principles - Comfortable owning ambiguous, open-ended problems end to end - Bonus: experience working with noisy or unstructured data Company Description Our partner is a YC-backed company building a new kind of marketplace in the AI training data space. Rather than operating as a labor marketplace, they provide infrastructure that lets data producers transform their existing data into formats AI labs want and sell it directly to those labs. This democratized model unlocks far more high-value data sources, and the team is growing quickly to keep up with demand.

Role Description The Senior Research Methodologist position sits within ICF's Global Health and Development Practice, which serves clients such as the U.S. Department of Labor, U.S. Department of State, philanthropic funders, multilateral organizations, and national governments to strengthen health systems, generate evidence, and improve population health and development outcomes in low- and middle-income countries. The practice has deep expertise in population-based surveys, health data systems, monitoring and evaluation, and technical assistance to national institutions. ICF seeks a Senior Research Methodologist to serve as Principal Investigator (PI) for a methodological experiment testing hybrid (phone + in-person) survey designs against contemporaneous Demographic and Health Surveys (DHS). The study asks how much of a standard DHS — including representative biomarker data, small area estimation, and strong measurement performance — can be preserved, under what conditions, and at what cost, using hybrid designs. It will field two designs (household-first and phone-first) alongside contemporaneous DHS in two countries in West and Central Africa, each of which includes malaria biomarkers, and will produce an evidence-informed decision framework and transferable guidance for the DHS Program and the broader survey-research community. The PI is the single point of technical and coordinating accountability for the study, leading a multidisciplinary ICF team and partnering closely with in-country co-Principal Investigators at the national statistical offices in each study country. This is a grant-funded position spanning a two-year period. This position is 100% remote/telecommute, with international travel to study countries. What You'll Be Doing - Provide overall scientific leadership for the experiment from design through implementation, analysis, and dissemination, serving as the single point of technical accountability across two concurrent country tracks. - Convene and lead a technical working group (TWG) of external experts, and finalize core design decisions — including content scope, representativeness targets, and content-triage grading criteria — with in-country co-PIs and partners. - Lead development of the full study protocol and oversee IRB/ethics submissions in coordination with ICF and in-country ethics committees. - Direct the analytic core of the study: sampling and power design, dual-frame estimation, the non-response and replacement protocol, mode-effects estimation, and small area estimation — working closely with the sampler, methodologist, and data scientist/modeler. - Lead development and population of a cost-quality frontier, integrating activity-based cost and time data captured during fieldwork. - Provide in-country and remote support to fieldwork, coordinating a single field workforce across two design arms alongside the contemporaneous DHS, including malaria biomarker collection. - Lead post-hoc simulation of untested design configurations, and translate findings into transferable decision-tree and heuristic guidance for future survey designers. - Lead the final report(s) and peer-reviewed manuscripts, and represent the study in conference and stakeholder presentations. - Serve as the primary technical liaison to the funder and to in-country partners, ensuring strong country ownership and adherence to Global Access and open-data commitments. - Mentor and coordinate a multidisciplinary team; while this position has no direct personnel-management authority, the PI is responsible for project leadership and technical task management in close collaboration with survey managers and finance/operations staff. Qualifications - Doctoral degree (Ph.D. or equivalent) in demography, statistics, biostatistics, epidemiology, public health, a social/behavioral science, or a related quantitative field; OR a master's degree in one of these fields with 20+ years of relevant experience. - Minimum 15 years of experience in survey research design and implementation, applied to population-based or public health surveys (or 20+ years with a master's degree, as above). - Deep expertise in probability sampling, weighting, complex survey design, and estimation, with the ability to independently conduct and interpret advanced analyses (e.g., dual-frame estimation, mode-effects analysis, small area estimation, equivalence testing) and to mentor others. - Demonstrated experience with household survey operations in low- and middle-income countries. - Significant writing experience, including study protocols, client/funder reports, and peer-reviewed publications. - Demonstrated experience conceptualizing and leading research grants or contracts. - Demonstrated track record of methodological thought leadership, such as conference presentations and peer-reviewed articles. Preferred Qualifications - Experience with DHS or DHS-like surveys and with biomarker (e.g., malaria RDT) data collection. - Experience conducting survey research in West and/or Central Africa. - Familiarity with phone-based and multimodal data collection (RDD, list-based, or hybrid designs) and the measurement challenges they raise. - Experience partnering with national statistical offices, ministries, or other in-country institutions. - Working proficiency in French. Professional Skills You Will Use - Attention to detail, organized, and proactive; able to manage multiple competing tasks and deadlines and negotiate prioritization. - Exceptional verbal and written communication, including the ability to convey methodological concepts to varied audiences — funders, country partners, and technical teams. - Able to make sound methodological decisions under real-world timing and budget constraints, including protecting scientific integrity when tradeoffs arise. - Able to drive project progress across concurrent country tracks and a distributed team, in close collaboration with in-country co-PIs and ICF operations staff. - Comfortable working across time zones and cultures with international partners. Submission Materials - Resume/CV. - One writing or work sample on which you were solo or primary author (e.g., a study protocol, methodological report, or peer-reviewed paper demonstrating advanced survey methods and analysis experience; please send no more than one document). Pay Range The pay range for this position based on full-time employment is: $119,323.00 - $202,850.00.

Role Description Kornit Digital is looking for a Mechanical Designer who will report to the Mechanical Team Leader and be located in Afek Industrial Park, Rosh Ha'ayin. - Mechanical design and implementation of multi-disciplinary printing systems. - Lead the mechanical design from feasibility through all design and product life cycles. - Take part in relevant professional forums and multi-disciplinary workgroups. - Prepare drawings, specifications, and work instructions. - Provide technical support of manufacturing, assembly and product support groups. - Technical support of functional and reliability testing. Qualifications - BSc. in Mechanical Engineering (Higher degree - an advantage) - Minimum 6 years’ experience in mechanical design preferably in a multidisciplinary R&D. - Experience in design of at least one of the following fields, good knowledge of others: mechanics of structures, fluid mechanics, automation, mechanisms. - Knowledge and experience in mechanical assembly processes. - Knowledge and experience in mechanical manufacturing technologies (machining, castings, sheet metal, etc’). - Experience in Solid Works. Requirements - Strong team player and interpersonal skills. - Strong mechanical aptitude. - High analytical skills. - High written and verbal English communication skills. - Innovative, creative. - Organized. - Self-motivated and proactive. Benefits - KORNIT is committed to fostering a diverse and inclusive workplace. - Equal opportunity employer. - Encouragement for people from all backgrounds to apply. - Commitment to ensuring technology is made available and accessible to everyone.