Build and ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct 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.
Provide technical ownership for applied AI and data science initiatives across Sonatype, helping define approaches, architecture, priorities, and standards.
Lead complex AI projects from concept to production—translating ambiguous business and technical problems into measurable experiments and scalable solutions.
Act as a senior internal AI consultant to product, engineering, security, and research teams, helping identify high-value opportunities and advising teams on ML and GenAI approaches.
Sonatype is the software supply chain management company that invented componentized software development and pioneered the software supply chain category. Trusted by more than 2,000 organizations and over 15 million developers, we are committed to constant innovation using AI/ML.
Architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows.
Own the AI stack roadmap from opportunity sizing through prototyping to deployment and impact measurement.
Translate complex technical work into clear recommendations for senior stakeholders and mentor analysts.
JumpCloud is an AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. With teams in 15+ countries, it is a fast-paced, SaaS-based environment that values innovation and collaboration.
Develop AI-assisted methods for classifying, summarizing, and quality-checking Zero Trust assessment data.
Prototype analytical capabilities to identify maturity trends and implementation anomalies.
Integrate approved AI services with existing data and automation workflows using secure interfaces.
True Zero Technologies is a veteran-owned small business that enables people and technology to improve organizational outcomes. Recognized as a Best Places to Work honoree and on the Inc. 5000 list, it fosters a community of driven innovators committed to top-tier services and a people-first culture.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Play a key role in creating both product and client-facing analytics and inform data team strategy.
Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion to analysis to recommendations.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Trusted by over 85% of U.S. physicians and 300+ health systems, they value curiosity, ownership, inclusion, and making a meaningful impact.
Develop and deploy advanced ML models for illness detection using time-series analysis from wearable health data.
Drive commercialization of algorithms in collaboration with cross-functional teams including scientists, product managers, and engineers.
Independently conduct exploratory research to identify novel health sensing features, scoping projects from concept to scalable products.
Oura empowers individuals to own their inner potential through their award-winning Oura Ring and app, providing insights on sleep, activity, and readiness to over 2.5 million users. They foster a supportive, inclusive culture with core values guiding their team, and have offices in San Francisco and San Diego.
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.
Create ICS-focused threat detections and asset identification analytics based on threat intelligence.
Mentor detection engineers and contribute to detection development initiatives.
Analyze cyber threat intelligence and network data to identify and respond to OT threats.
Dragos is the global leader in operational technology (OT) cybersecurity, combining technology, threat intelligence, and expert services to protect critical infrastructure. The company is a remote-first, mission-driven team across multiple continents built on authenticity, transparency, and trust.
Own the full model lifecycle from requirements and feature engineering through deployment and monitoring, partnering with ML engineers.
Translate complex fraud patterns into well-framed ML solutions, defining what to model and where ML adds value.
Design feature engineering pipelines, monitor model quality in production, and collaborate across teams to drive fraud strategies.
Extend revolutionizes the post-purchase experience for retailers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. Backed by prominent technology investors and headquartered in San Francisco, Extend works with over 1,000 leading merchant partners across industries, fostering a collaborative and supportive culture.
Build and productionize traditional ML models (classification, regression, anomaly detection) from proof of concept through deployment.
Develop agentic AI tools and data products that turn one-off analysis into durable, self-serve capabilities for stakeholders.
Partner with engineering to productionize models within Bestow's pipelines, including feature engineering, validation, and monitoring.
Bestow is a vertical technology platform that unifies the life insurance value chain, enabling carriers to launch products quickly with AI and automation. Backed by leading investors and trusted by major carriers, the company offers flexible work, meaningful benefits, and substantial growth opportunities.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
Design and optimize threat detection capabilities using SIEM, SOAR, EDR, and NDR technologies.
Develop automation playbooks and cybersecurity data solutions to improve detection accuracy.
Collaborate with customer teams to close detection gaps and adapt defenses to emerging threats.
Our partner is a cybersecurity firm focused on building threat detection capabilities for enterprise environments. They foster a collaborative, engineering-led culture with significant autonomy for engineers.
Lead the design and implementation of data science initiatives, defining methodologies and best practices.
Develop, evaluate, and optimize machine learning models to solve complex business problems.
Own the complete data science lifecycle from data exploration to deployment and monitoring.
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end, working with international clients and building long-term partnerships through technical excellence.
Serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success.
Partners directly with clients to design, implement, and evolve marketing & data analytics programs.
Leads engagements that require integration of multi-channel data and development of insights frameworks translating analytics into business outcomes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. With 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
Design and implement scalable detection logic to identify insider threats and data exfiltration across corporate and production environments.
Conduct proactive threat hunting and incident response, collaborating with HR, Legal, and engineering teams during complex investigations.
Develop automation and detection models using Python and SQL to strengthen security response capabilities and reduce risk exposure.
The company is a technology organization specializing in security and threat detection. They operate in a fast-paced, collaborative environment with a focus on insider threat prevention and response.
Directly manage a team of applied ML scientists, coaching them through model development and technical decision making.
Own execution for your area, including priorities, delivery, and results, while remaining hands-on with code review and production systems.
Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
SentiLink provides innovative identity and risk solutions, building the future of identity verification in the United States. They are a fast-growing company backed by top investors, with offices across the US and India, and have earned recognition from major media outlets.