Lead the design and development of production-level machine learning solutions for government applications.
Provide hands-on technical leadership and mentorship across engineering teams.
Collaborate directly with customers to translate complex requirements into practical, deployable outcomes.
They build advanced AI systems for complex government applications, focusing on real-world, production-ready solutions. Their engineering team is mission-driven and collaborative, fostering strong technical practices across distributed teams.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Own the deployment and production lifecycle of models powering product experiences and marketing workflows.
Build and maintain feature pipelines, monitoring systems, and CI/CD infrastructure for real-time inference and model health.
Collaborate with data scientists and product engineers to ship scalable ML solutions across both product and marketing use cases.
Ethos is a leading life insurance technology company on a mission to democratize access to life insurance and empower agents at scale. With a three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers, and is publicly traded on Nasdaq.
Build backend services and data pipelines for customer-facing security features.
Integrate machine learning models and large language models into detection and investigation workflows.
Develop AI agents that analyze suspicious activity and support security investigations.
Abnormal protects enterprises from AI-powered cybercrime using a behavioral AI platform. Over 5,000 enterprises trust the company, which has been recognized as a top cybersecurity startup and protects 15% of the Fortune 500.
Design and develop core software infrastructure for privacy-preserving AI evaluations using Python and secure computing technologies.
Build and maintain secure enclave solutions and Trusted Execution Environment technologies for confidential computing.
Scale the platform from initial deployment to multiple implementations, owning major engineering components and improving reliability and user experience.
This organization develops software infrastructure for privacy-preserving AI evaluations, enabling independent assessment of advanced AI models. It is a global, fully remote, mission-driven nonprofit team focused on AI safety.
Lead development of production ML models for customer lifetime value, conversion, and recommendations.
Advance personalization and recommendation systems using Databricks and MLflow.
Establish best practices in ML including monitoring, experimentation, and mentoring.
NerdWallet's mission is to provide clarity for all of life's financial decisions. They are a growing, remote-first company with an inclusive and supportive team culture.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
Design, build, and maintain robust data pipelines that ingest and normalize security data from 120+ sources.
Operate and improve the attribution layer by implementing entity resolution and ownership rules as version-controlled code.
Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.
Cisco designs and sells networking, security, and collaboration technologies that power the digital world. With a global team of doers and experts, we foster a collaborative culture that values empathy, innovation, and large-scale impact.
Monitor and evaluate agentic incidents, performing root-cause analysis across source alerts and pipelines to provide feedback to the AI team.
Define telemetry fields and contextual requirements for analyst-grade investigations, ensuring reliable data across detection surfaces.
Research and onboard telemetry from emerging security vendor APIs, mapping them into a unified security data model.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. With thousands of customers and over 200 data centers globally, it fosters a culture of ownership, collaboration, and ongoing feedback.
Design and deliver automation workflows that help security analysts detect, investigate, and remediate threats faster.
Architect deterministic and agentic automation pipelines integrating services, scripting, orchestration, and security data enrichment.
Provide technical leadership, mentor engineers, and improve service reliability through monitoring, observability, and on-call support.
They build and operate Falcon Complete, a managed detection and response platform that protects organizations from cyber threats. They are a globally distributed, remote-first team focused on collaboration, innovation, and engineering excellence.
Develop and deploy machine learning models to detect web-based malware at scale.
Use production data to train and evaluate models for accurate threat detection.
Collaborate with security analysts to optimize detection and cleanup processes.
The company specializes in cybersecurity, using machine learning to detect web-based malware. It operates a remote-first culture with dedicated technical resources and a focus on collaboration and innovation.
Design and implement Python solutions using the full suite of AWS cloud computing capabilities.
Develop and iterate on AI and LLM-based workflows to reduce customer time-to-outcome.
Operate in a collaborative, agile remote environment, sharing knowledge and participating in peer code reviews.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges, particularly in the information operations space for US government and Fortune 50 clients. The company emphasizes collaboration, trust, and pushing boundaries to empower its team and support customers in building a safer global future.
Build machine learning models for fraud detection using multiple sources of evidence.
Analyze large-scale datasets to discover patterns, relationships, and new signals.
Collaborate with product, fraud experts, and data engineering to ship production-ready ML.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, trusted by over 7,500 organizations worldwide. Headquartered in San Diego with operations globally, the company fosters a Virtual 1st culture with flexibility, collaboration, and a mission to 'Protect What's Real.'
Design, build, and operate data pipelines across the Accelerator's medallion architecture, ensuring data quality and versioned schema contracts.
Develop and operate ML and NLP enrichment pipelines, including language identification, translation, and classification at scale.
Collaborate with research teams to define data products and provide direct technical support on the platform.
Princeton University is a leading Ivy League institution that advances education and research across disciplines. Its Accelerator supports computational social scientists with a shared data and compute platform, fostering a collaborative and innovative environment.
Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
Build hands-on LLM-powered tools, data pipelines, and ML systems.
Partner with portfolio companies to commercialize data and drive AI adoption.
ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.
Design, deploy, and support scalable AI/ML capabilities using Azure Machine Learning, Databricks, and AI services.
Develop reusable AI/ML solution templates, pipelines, and MLOps practices for model training, deployment, and monitoring.
Collaborate with VA stakeholders to integrate AI/ML models with enterprise data platforms and implement responsible AI controls.
Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. The company has a collaborative, client-first culture focused on rapid implementation of pragmatic solutions.
Build and ship statistical, ML, and hybrid LLM models on real claims data.
Design evaluations and gold datasets with subject matter experts to continuously measure product impact.
Collaborate with a small senior team to turn model results into product decisions for auto casualty.
CCC Intelligent Solutions is a leading cloud platform for the insurance economy, connecting insurers, repairers, automakers, and part suppliers. Empowering 35,000 businesses, the company fosters a culture of innovation, integrity, inclusion, and connection.
Build and harden production AI solutions, including RAG and knowledge graph-based member experiences.
Serve as technical counterpart to AI vendors, reviewing designs/code and leading knowledge transfer to insource work.
Implement MLOps/LLMOps, data pipelines, and engineering standards for reliable, secure AI systems.
ISACA champions the global workforce advancing trust in technology through knowledge, credentials, training, and networking. With over 195,000 members and 230 chapters worldwide, ISACA supports careers in security, governance, assurance, risk, privacy, and emerging tech.
Serve as the technical engineer deploying AI security solutions in customer environments, translating requirements into scalable architectures.
Partner with cross-functional teams to integrate AI security controls, secure pipelines, and operationalize guardrails for LLMs and agentic workflows.
Develop reusable deployment patterns, support technical proposals, and mentor engineers to accelerate AI security implementations.
AHEAD builds platforms for digital business, helping enterprises deliver on digital transformation through cloud infrastructure, automation, and analytics. They prioritize a culture of belonging and equal opportunity, with a diverse and inclusive workplace.
Architect and lead scalable AI/ML infrastructure with a focus on automation and security.
Build and maintain CI/CD pipelines for AI models from data ingestion to deployment.
Mentor junior engineers and collaborate with AI researchers to optimize performance.
Revvity provides end-to-end solutions for scientists and clinicians to tackle health challenges. With over 11,000 global colleagues, we combine disruptor energy with established leadership to push boundaries in human health.