Recruitment Researcher Intern
The intern will focus on sourcing passive and active global talent using LinkedIn and various web research techniques. They will also maintain talent pipelines in the ATS and produce reports on recruiting activities.
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The intern will focus on sourcing passive and active global talent using LinkedIn and various web research techniques. They will also maintain talent pipelines in the ATS and produce reports on recruiting activities.
Own the end-to-end user research stream, from planning and recruitment to embedding insights into product strategy and roadmaps. Collaborate with design and product teams to execute various research types and enhance overall research practices.
The intern will focus on sourcing passive and active global talent using LinkedIn and various research techniques to build deep talent pipelines. They will also track recruitment data within the ATS and act as a brand ambassador to increase company awareness.
The intern will focus on sourcing passive and active global talent using LinkedIn and various research techniques to build deep talent pipelines. They will also maintain candidate data within the SmartRecruiters ATS and produce regular recruitment activity reports.
The intern will focus on sourcing passive and active global talent using LinkedIn and various research techniques to build deep talent pipelines. They will also maintain candidate data in the ATS and produce regular reports on recruiting activities.
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The intern will focus on sourcing passive and active global talent using LinkedIn and various research techniques to build deep talent pipelines. They will also maintain candidate data in the ATS and act as a brand ambassador to increase company awareness.
The intern will focus on sourcing passive and active global talent using LinkedIn and other research tools to build deep talent pipelines. They will also maintain candidate data within the SmartRecruiters ATS and produce regular recruitment activity reports.
Lead projects from scoping and design through execution and delivery, taking ownership of project direction and client outcomes. Engage directly with EPRI members to support business development efforts and build lasting client relationships.
Design and deploy large-scale GenAI and LLM-based solutions within cloud-based SaaS production environments for the healthcare sector. Lead technical architecture discussions, mentor senior resources, and collaborate across cross-functional teams to deliver predictive models and AI marketplaces.
Provide 1:1 virtual coaching to members to help them achieve professional goals and improve leadership skills. Participate in ICF-certified training and contribute to the Mento coaching community by sharing tools and insights.
Provide 1:1 virtual coaching to Mento members to help them achieve professional goals and improve leadership skills. Participate in ICF-certified training and contribute to the Mento coaching community by sharing tools and insights.
Provide 1:1 virtual coaching to members to help them achieve professional goals and improve leadership skills. Participate in ICF-certified training and contribute to the Mento coaching community by sharing tools and insights.
Build and scale the foundational Research Ops infrastructure while executing mixed-methods research to inform product strategy. Partner with leadership to validate early concepts and translate user insights into business value and ARR opportunities.
Develop novel ML models and algorithms for computational perception and interaction to enhance the Nex Playground platform. Conduct rapid experiments to validate new methods and collaborate with engineers to integrate research into production systems.
Lead coordination for threat research, product protection, and communication efforts during major global cyber events. Produce actionable intelligence products and technical research to inform defenders and internal stakeholders.
Lead end-to-end research cycles and usability tests to uncover user behaviors and pain points for GenAI features. Partner with product managers and engineers to translate research findings into actionable product requirements and roadmap updates.
Develop detection methods and AI-driven workflows to identify emerging threats across large-scale customer telemetry. Collaborate with data engineers and product teams to translate threat intelligence into production-grade security detections.
We watch for new "Research" jobs and email you the matches. Free. Unsubscribe in one click.
Design and build automated AI-enabled adversarial testing scaffolds to identify and exploit systemic weaknesses. Research new AI-driven attack strategies and translate findings into high-quality security improvements and defensive guardrails.
Analyze market microstructure and on-chain data to identify trading opportunities and build automated strategies. Design and implement end-to-end market-making, arbitrage, and systematic trading systems while ensuring low-latency performance.
Lead research for the Hardware business unit to define the future of automated capture and wearable technology. Collaborate with product managers and designers to translate user insights into actionable product directions using both qualitative and quantitative methods.
Lead the research and development of evaluation frameworks and metrics to optimize the quality of large-scale speech datasets. Translate research insights into scalable filtering rules and tools to improve downstream ML model performance.
Develop automated solutions for collecting and analyzing security data at scale and perform vulnerability research on various targets. Collaborate across teams to reproduce emerging vulnerabilities and publish research findings on the company blog or at conferences.
Drive original research on offensive security agents focusing on reasoning, planning, and autonomous long-horizon operation. Advance the post-training pipelines and co-evolutionary self-training architectures for the company's core AI models.
The researcher will perform quantitative analyses and statistical modeling to produce gender-based violence estimates for the Global Burden of Disease Study. Responsibilities include extracting and transforming data from various sources and co-authoring scientific publications in peer-reviewed journals.
Design and implement multi-period portfolio optimization frameworks that account for market frictions and transaction costs. Develop intraday trading strategies and monitor model performance within a live trading environment.
Design and build high-value datasets, tasks, and environments to benchmark agentic systems and multi-step model behavior. Develop frameworks to evaluate data quality and connect model failures to specific dataset or environment gaps.
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Review and refine AI-generated outputs to ensure scientific accuracy and rigor in medical and biological research. Draft realistic scientific scenarios and case studies to improve the quality and safety of AI applications.
The role involves conducting horizon-scanning for novel AI-enabled hazard classes and developing methodologies for reasoning about emerging threats. The researcher will also collaborate across programs to integrate civil safety perspectives with broader risk assessment and governance.
Design and implement multi-period portfolio optimization frameworks that account for market frictions and transaction costs. Develop intraday trading strategies and monitor model performance within a live trading environment.
Develop advanced AI solutions and prototypes to improve health outcomes and empower primary care physicians. Collaborate with engineering teams to integrate AI models into healthcare workflows using large-scale medical data sets.
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