--- title: 'Senior AI/ML Engineer at Redhorse Corporation' canonical: 'https://feeny.ai/job/senior-ai-ml-engineer-redhorse-corporation-remote-8jygr11a691g' type: 'job' last_seen: '2026-11-06' --- # Senior AI/ML Engineer at Redhorse Corporation - **Company:** Redhorse Corporation - **Location:** Remote - **Compensation:** $180k–$200k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.lever.co/redhorsecorp/a371bf8c-3354-4f6f-89a1-66413e142cad ## Job description ## About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. ## About the Role Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer to support Condition-Based Maintenance Plus (CBM+) initiatives that improve aircraft sustainment and optimize maintenance and logistics for the United States Air Force (USAF). In this role, you will serve as a key architect in the CBM+ ecosystem, bridging the gap between cutting-edge development and operational deployment. Working within cross-functional teams in an Agile environment, you will translate complex predictive models into production-grade systems that directly enhance fleet readiness and sustainment efficiency. This is a unique opportunity to operate at the intersection of aerospace logistics and advanced MLOps, delivering high-impact solutions for our nation's defense. ## Key Responsibilities - Lead CBM+ AI/ML initiatives from concept through production deployment, ensuring technical solutions align with mission outcomes, business objectives, and enterprise architecture standards. - Architect and oversee scalable data pipelines, including data ingestion, ETL/ELT processing, feature engineering, data validation, and sustainment of production data workflows. - Design, develop, and optimize machine learning, deep learning, and generative AI models to solve complex operational problems and improve predictive maintenance capabilities. - Perform advanced exploratory data analysis, statistical modeling, and data visualization to uncover trends, correlations, risk indicators, and actionable insights that guide product and mission decisions. - Build, maintain, and extend knowledge graph capabilities to support semantic reasoning, data integration, and AI-enabled decision support. - Provide technical leadership to multi-functional engineering teams, mentoring junior engineers and guiding best practices for model development, MLOps, testing, documentation, and secure deployment. - Collaborate with software, data, cloud, and product teams to integrate trained models into production applications, APIs, and operational workflows. - Establish monitoring strategies for data quality, model performance, drift, bias, and degradation, and lead mitigation efforts to maintain reliable AI/ML system performance. Required Experience/Clearance - An active Secret security clearance is mandatory for this position. Applicants must currently possess an active Secret clearance to be considered. Candidates without an active clearance will not be considered. - Education & Experience: Master’s degree in a STEM (Science, Technology, Engineering, or Mathematics) field or proven equivalent professional experience. - Natural Language Processing (NLP): Minimum of 5 years of experience incorporating applied NLP, data labeling, and entity or keyword extraction. - Analytics & Data Engineering: Proven proficiency with Databricks, PySpark, SQL, data governance frameworks, and technical documentation standards. - Statistical Foundations: Deep understanding and practical application of statistical distributions for data assessment, data analysis, and predictive modeling. - Visualization & Data Products: Experience developing dashboard or data end-products utilizing tools such as Streamlit, Qlik Sense, or similar platforms. - Tools & Methodologies: Experience using project management and productivity platforms including Jira, Confluence, Lucidchart, and Microsoft Office Suite (Word, Excel, PowerPoint). - Communication & Initiative: Demonstrated self-starter with strong interpersonal skills, with the proven ability to translate complex technical findings for executive and non-technical stakeholders. - Travel: Ability to travel minimally as needed to engage with government customers and project stakeholders. Desired Experience We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience: - Ph.D. in a STEM field, with a preference for Data Science, Data Analytics, or Computer Science. - Advanced expertise applying artificial intelligence and machine learning (AI/ML) to predictive maintenance, condition-based maintenance, or defense logistics challenges. - Direct experience developing sensor-based failure prediction models and equipment health indicators. - Practical experience conducting Monte Carlo simulations and calculating statistical confidence intervals. - Demonstrated expertise in end-to-end data pipeline engineering, including customer-facing UI/UX integration. - Prior experience supporting defense aviation data environments or DoD enterprise systems. The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion. ## About Redhorse Corporation ## Company Overview - **One-liner**: Redhorse Corporation is a technology and consulting firm that delivers data-driven, AI-enabled solutions to the Department of Defense and the national security community. - **Entity Type**: Private (no public ticker; funding stage not disclosed) - **Headquarters**: Gainesville, Virginia, USA (also has offices in Chantilly, VA and other locations) - **Founded**: Not publicly available (no founding year found in provided sources) - **Founders**: Not publicly available (current CEO is Noah Klemm, but founders not named) ## Core Business - **Primary industries**: National security, defense, government services, artificial intelligence, cybersecurity, data analytics - **Target customers**: U.S. federal government, primarily Department of Defense (DoD), intelligence agencies, and other national security organizations (B2G) - **Mission or purpose**: To understand, define, and solve data-driven mission challenges for the warfighter and national security community, delivering intelligent systems that enable data-driven decisions. ## Products & Services - **Intelligent Data Products as a Service**: Awarded “Awardable” status in the CDAO Tradewinds Solutions Marketplace, providing AI/ML data products on a service basis. - **National Security Practice**: End-to-end solutions for DoD and intelligence community, including AI, data analytics, cyber analytics, network security, and operations support (e.g., for NAVWAR, OUSD(I&S), JAIC). - **Conditions Based Maintenance Plus (CBM+)**: AI-driven predictive maintenance solutions for DoD, also assessed “Awardable” in Tradewinds. - **Cyber Security Services**: Including ISSO, Cyber Security Engineer roles; network security and cyber analytics for naval systems. - **Consulting & Integration**: Strategic advisory, digital transformation, acquisition integration (e.g., Mannakee Group acquisition), and post-acquisition integration support. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Not publicly available (no revenue or funding amounts found) - **Notable Investors/Partners**: Not publicly available (no investor list in provided sources) - **Growth Signals**: - Acquired Mannakee Group (date not specified) - Awarded an AI contract with the Department of the Interior (DoW) - Assessed “Awardable” by CDAO Tradewinds for two offerings (Intelligent Data Products as a Service and CBM+) - Holds all five major industry certifications: CMMI Maturity Level 3 for Services, ISO 9001, ISO/IEC 20000-1, ISO/IEC 27001 (unique achievement) - Active hiring across multiple locations (Gainesville, VA; Chantilly, VA; Joint Region Marianas) ## Competitive Advantages - **Unique certification portfolio**: One of few firms holding CMMI Level 3 for Services plus ISO 9001, 20000-1, and 27001 – providing government clients confidence in quality and security. - **User-centered methodology**: Uses design thinking, lean startup, and agile development to build solutions that start with understanding the mission and user needs, rather than forcing a pre-built platform. - **Deep domain expertise**: Decades of top-tier consulting experience across federal agencies, with a dedicated National Security Practice focused on defense and intelligence. - **In-house technical capabilities**: Ability to build bespoke AI/ML and data solutions rather than relying solely on commercial off-the-shelf products. ## Strategic Focus - **Expansion through acquisitions**: Recent acquisition of Mannakee Group signals a growth strategy via M&A to broaden capabilities and client base. - **Deepening AI/ML offerings**: Continued investment in AI solutions for defense (CBM+, intelligent data products) and participation in government marketplaces like CDAO Tradewinds. - **Strengthening national security practice**: Focus on data-driven mission challenges for DoD and intelligence community, with emphasis on warfighter support and integrated lethality. - **Talent acquisition**: Active recruiting for cyber security, systems administration, and engineering roles, indicating growth in delivery capacity. ## Why Work Here - **Culture of innovation**: Employees are encouraged to problem-solve, collaborate, and generate technology-driven solutions in a creative environment. - **Work-life balance**: Flexible work hours, paid time off, and employee assistance programs; remote/hybrid options likely available (not explicitly stated but implied by flexible work hours). - **Professional development**: Support for continued education and professional growth; company values development and growth of team members. - **Community & environment**: Commitment to charitable sponsorship, employee volunteerism, and environmental sustainability (annual GHG emissions report). - **Values-driven**: Core values include respect, creativity, transparency, integrity, growth mindset, and common sense; strong commitment to Equal Employment Opportunity and diversity. - **Meaningful work**: Direct impact on national security missions – employees can see tangible results of their work for the warfighter and defense community. - **Benefits**: Competitive medical, dental, vision; retirement plans; employee assistance programs. ## Sources 1. [redhorsecorp.com](https://redhorsecorp.com/) – Company homepage, certifications, and awards 2. [redhorsecorp.com/about](https://redhorsecorp.com/about/) – Leadership team and company background 3. [redhorsecorp.com/why-join-redhorse](https://redhorsecorp.com/why-join-redhorse/) – Culture, benefits, and values 4. [redhorsecorp.com/solutions/national-security-practice](https://redhorsecorp.com/solutions/national-security-practice/) – National Security Practice details and case studies 5. [jobs.lever.co/redhorsecorp](https://jobs.lever.co/redhorsecorp/) – Current job openings and locations ## Other roles at Redhorse Corporation - [Environmental Engineering Support Specialist II](https://feeny.ai/job/environmental-engineering-support-specialist-ii-redhorse-corporation-san-diego-qxs9jqy0cb49) — San Diego, CA - [AI/ML Modeling Team Lead](https://feeny.ai/job/ai-ml-modeling-team-lead-redhorse-corporation-remote-vr40b7n4mwy3) - [AI/ML Solutions Architect](https://feeny.ai/job/ai-ml-solutions-architect-redhorse-corporation-remote-gb7fdv2shv0t) - [Lead Data Engineer](https://feeny.ai/job/lead-data-engineer-redhorse-corporation-remote-dzkk9csf26g1) - [Payroll Analyst](https://feeny.ai/job/payroll-analyst-redhorse-corporation-gainesville-zvqjze4zg46m) — Gainesville, VA - [Project Manager](https://feeny.ai/job/project-manager-redhorse-corporation-arlington-kbm34n6cjgw7) — Arlington, VA - [Help Desk Support Technician](https://feeny.ai/job/help-desk-support-technician-redhorse-corporation-alexandria-0x5jpz6qdq3a) — Alexandria, VA - [Microsoft 365 Power Platform Developer](https://feeny.ai/job/microsoft-365-power-platform-developer-redhorse-corporation-alexandria-61vr6we9zw3j) — Alexandria, VA - [Senior Business Analyst](https://feeny.ai/job/senior-business-analyst-redhorse-corporation-washington-z0qk057mkvmf) — Washington, DC - [Mid Level Business Analyst](https://feeny.ai/job/mid-level-business-analyst-redhorse-corporation-washington-g64dj8x8zx20) — Washington, DC