Evolve the Interactive Learning Plugin's recommendation system with increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations.
Develop, validate, version, monitor, and iterate on applied models used by the recommendation system, owning model training and serving.
Partner across disciplines with software engineers, data analysts, and product analytics teams to productionize models and define metrics, instrumentation, and experiment analysis.
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Lead ads fraud detection strategy by defining taxonomies, labels, metrics, and evaluation frameworks.
Analyze large datasets to uncover fraud patterns and translate findings into scalable detection and enforcement pipelines.
Build and maintain statistical, ML, and GenAI models to improve fraud detection, risk identification, and enforcement quality.
Reddit is a community of communities, built on shared interests and authentic conversations. With 100,000+ active communities and approximately 130 million daily active users, it is one of the internet's largest sources of information, fostering an open and inclusive culture.
Contributes to existing code repositories by extending and maintaining code according to established patterns and conventions.
Builds data pipelines that feed downstream applications, including AI agents, using Google BigQuery and SAP.
Communicates progress, blockers, and technical decisions clearly and consistently with the broader team.
CI&T helps large enterprises transform with AI and technology solutions. With 6,000+ employees across 25+ countries, they foster a collaborative culture focused on innovation and real business impact.
Contributes to existing code repositories following Git best practices and communicating clearly with the team.
Builds data pipelines and develops ETL processes feeding AI agents and downstream applications.
Develops front-end interfaces for internal applications and supports machine learning models for computer vision and forecasting.
We help large enterprises transform the potential of AI into real business impact. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Build and improve machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets and services.
Own the design and development of applied ML workflows that turn raw Internet telemetry into usable context for internal systems and customer-facing products.
Partner with engineering, research, security, and product teams to ensure we’re building the right models, datasets, and feedback loops.
Censys provides real-time Internet intelligence and actionable threat insights by mapping the Internet through IP scanning and web crawling. Founded by security researchers, it is a startup with midwestern roots that values diversity and inclusion.
Lead and develop the decision scientists and data scientists on the team, setting the quality bar for both disciplines.
Own the MAU driver model and forecast, and drive strategy to grow MAU.
Establish analysis standards and partner with counterparts to define common metrics and experimentation standards.
Life360 is a mobile app and tracker company that helps families stay connected with location sharing, crash detection, and more. The company has over 500 remote-first employees and fosters an AI-native culture.
Develop and manage AI/ML product roadmaps, leading cross-functional teams to implement models and ensure seamless integration into production.
Collaborate with stakeholders to define AI/ML data requirements, oversee data collection and transformation, and monitor model performance using appropriate metrics.
Integrate LLMs for NLP tasks, implement Agile methodologies, and provide mentorship to junior team members.
NucleusTeq, Inc. is a technology company that develops an AI-powered data management platform called NuoData. The company fosters a collaborative environment with cross-functional teams and emphasizes mentorship.
Lead multidisciplinary teams in data engineering, AI/ML, scientific computing, and modeling to build capabilities for data-intensive biomedical research.
Set technical direction, establish reference architectures, and guide the design and operation of production data platforms and AI/ML systems.
Foster a culture of rigorous engineering, reproducibility, and open science while ensuring governance, security, and responsible use of data and AI.
Axle Informatics is a bioscience and information technology company committed to accelerating biomedical discovery through data science, software engineering, scientific computing, and research technology. The company fosters a culture of technical craftsmanship, collaboration, and service to the research community, with a focus on building durable systems that enable scientific progress.