Shape strategic direction for AI/ML initiatives across USAF and Army programs.
Bridge the gap between mission goals and engineering reality, reducing ambiguity.
Lead and mentor technical teams while ensuring operational impact on fleet maintenance.
Redhorse Corporation delivers data insights and technology solutions for missions critical to U.S. national interests. The company values thoughtful, skilled professionals who thrive as trusted partners in a collaborative, mission-driven environment.
Translate AI investment and operational decision needs into a phased technical roadmap.
Connect governed source data to enterprise platforms and build analytics-ready fact models.
Lead a matrixed team to deliver trusted reporting products with automated quality controls.
General Dynamics Mission Systems engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry and offer a flexible work environment where contributions are recognized and rewarded.
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.
Research and deploy NLP, ML, and GenAI solutions for revenue lifecycle management products.
Partner with engineering and product to take models from experimentation to production at scale.
Mentor teammates and drive evaluation standards while building LLM and RAG-based capabilities.
Conga unifies pricing, quoting, contracting, rebates, and communications so companies run as connected, smarter businesses. Trusted by over 10,000 customers and 50% of the Fortune 100, Conga fosters a culture where colleagues thrive and every voice is heard.
Lead technical direction and mentor engineers in modular Python development and SQL optimization.
Architect and optimize high-throughput ETL/ELT workflows using Databricks and Python/PySpark.
Collaborate with government stakeholders to translate complex defense requirements into scalable data pipelines and actionable insights.
Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. The company fosters a culture of trusted partnership and seeks skilled professionals to support difficult and important mission sets.
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.
Own the evaluation framework for AI-assisted systems, building labeled ground truth datasets and designing statistically sound audit and sampling methodologies.
Measure model performance across releases, run drift and override reviews, and produce evidence packages supporting deployment decisions.
Work closely with data scientists and engineers to validate scoring and generative AI capabilities while maintaining independence from build roles.
DEFCON AI leverages artificial intelligence, mathematical optimization, and data analytics to help organizations optimize complex systems and manage disruptions. The company offers a fully remote, results-based environment with unlimited PTO, comprehensive benefits, and a focus on empowering employees to work independently.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
Design, build, and deploy LLM-powered agents that detect spam, harassment, and policy-violating content on Quora.
Develop agentic workflows to automate content moderation and user safety tasks at scale.
Evaluate model performance, investigate failures, and refine AI systems for accuracy and efficiency.
Quora is a global knowledge-sharing platform that connects people with expert answers. This role sits on a small, collaborative engineering team with a remote-first culture and a focus on AI safety and content quality.
Define and execute a comprehensive data strategy for AI model training, simulation, and production deployment in safety-critical autonomous systems.
Own the end-to-end data pipeline from raw collection and labeling through curation, versioning, and delivery at scale.
Build and maintain data flywheels and lead a team of data and infrastructure engineers.
Merlin is a publicly traded aerospace and defense company building the Merlin Pilot, a non-human pilot system delivering full-stack autonomy for any aircraft. Headquartered in Boston, Merlin is a small, innovative, and team-focused startup-like environment that supports professional development.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
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.