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True Anomaly

True Anomaly is a defense technology company dedicated to space defense. They design and build spacecraft, software, and payloads aimed at achieving space superiority. Their flagship products include Jackal, a multirole space superiority platform, and Mosaic, a software platform that enables autonomous actions in contested orbital environments. True Anomaly focuses on delivering scalable performance and operational flexibility to enhance mission capabilities for the U.S. and its allies.

<div><div>Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors &mdash; enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES
<ul>
<li>Be the offset. We create asymmetric advantages with creativity and ingenuity.</li>
<li>What would it take? We challenge assumptions to deliver ambitious results.</li>
<li>It&rsquo;s the people. Our team is our competitive advantage and we are better together.</li>
</ul></div><div>
YOUR MISSION

As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core machine learning and AI capabilities for True Anomaly. You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and data-driven decision-making. This will involve hands-on development across areas including object classification and discrimination, anomaly detection, and threat assessment. You are a first-principles engineer who takes ownership of the systems you build and delivers results.

RESPONSIBILITIES
<ul>
<li>Design, implement, and test ML/AI models that support threat assessment, object discrimination, and decision-making in operationally relevant environments</li>
<li>Own the full ML development lifecycle &mdash; from data ingestion and feature engineering through model training, evaluation, and production deployment</li>
<li>Collaborate with cross-functional teams to translate operational requirements into robust, production-ready ML capabilities</li>
<li>Establish and maintain rigorous model evaluation practices to ensure reliability and performance in real-world conditions</li>
<li>Write clean, well-documented, and testable code in support of AI/ML capabilities</li>
</ul>
QUALIFICATIONS
<ul>
<li>Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline</li>
<li>Proficient in Python</li>
<li>Solid understanding of statistics, probability, and optimization</li>
<li>Experience with ML frameworks such as PyTorch, TensorFlow, or JAX</li>
<li>4+ years of experience designing, training, and deploying ML models in real-world systems</li>
<li>Demonstrated ability to work in a multidisciplinary team and solve complex problems from first principles</li>
<li>Passion for spaceflight and advancing capabilities related to space domain awareness and space security</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE
<ul>
<li>Master's or PhD in machine learning, computer science, data science, or a related discipline</li>
<li>Strong background in one of the following core ML disciplines:</li>
<li><ul><li>Anomaly &amp; outlier detection: statistical, density-based, and deep learning approaches</li>
<li>Object discrimination: multi-class and fine-grained classification, metric learning, few-shot learning, evidential reasoning and Dempster-Shafer Theory (DST) for belief combination and conflict resolution under uncertain or incomplete sensor data</li>
<li>Unsupervised learning: clustering, dimensionality reduction, generative modeling</li>
<li>Sequential and temporal modeling: time-series analysis and sequential modeling</li>
</ul></li><li>Experience deploying models to edge or resource-constrained environments with real-time processing requirements</li>
<li>Familiarity with space domain data such as space object catalog data, observational data, or RSO characterization</li>
<li>Experience with MLOps tooling: experiment tracking (MLflow, W&amp;B), model versioning, CI/CD for ML pipelines</li>
<li>Background in model interpretability, uncertainty quantification, or safety-critical ML validation</li>
</ul>
COMPENSATION
<ul>
<li>Base Salary: $155,000 - $260,000</li>
<li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave</li>
</ul>
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.

ADDITIONAL REQUIREMENTS
<ul>
<li>Work Location&mdash; this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.</li>
<li>Work environment&mdash;the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.</li>
<li>Physical demands&mdash;the physical demands of the job, including bending, sitting, lifting and driving.</li>
</ul>
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite</div><div>
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.</div></div>

Senior Machine Learning Engineer

<div><div>Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors &mdash; enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES
<ul>
<li>Be the offset. We create asymmetric advantages with creativity and ingenuity.</li>
<li>What would it take? We challenge assumptions to deliver ambitious results.</li>
<li>It&rsquo;s the people. Our team is our competitive advantage and we are better together.</li>
</ul></div><div>
Your Mission

We are seeking a driven and detail-oriented Enterprise Risk Analyst to support two distinct but interconnected lines of effort: Enterprise Risk Management (ERM) and Third-Party Vendor Risk Management (TPVRM). Reporting to the Senior Enterprise Risk Manager, you will play a hands-on role in executing risk assessments, maintaining program documentation, tracking remediation activities, and building the data foundation that powers executive-level risk decision-making.

This role is ideal for a mid-career risk professional who is fluent in frameworks such as NIST RMF and CMMC, is developing practical experience with risk quantification methodologies like FAIR and OCTAVE, and is eager to grow within a fast-paced aerospace and defense SaaS environment. You will work closely with engineering, security, legal, compliance, and operations teams to help identify, document, and track risk across the enterprise and its third-party supply chain. 


Responsibilities: 


Enterprise Risk Management
<ul>
<li>Support the design, execution, and continuous improvement of the enterprise risk management program under the direction of the Senior Enterprise Risk Manager.</li>
</ul><ul><li>Assist in conducting structured risk assessments using OCTAVE or similar threat-and-asset-centric methodologies, documenting findings, threat profiles, and recommended mitigations.</li>
</ul><ul><li>Support the application of FAIR methodology to help quantify risks in financial terms and contribute to risk prioritization analyses for leadership.</li>
</ul><ul><li>Maintain and update the enterprise risk register, ensuring accuracy of risk ratings, ownership assignments, remediation status, and residual risk tracking.</li>
</ul><ul><li>Build and maintain program dashboards, KPI/KRI reports, and status tracking using tools such as Jira, Confluence, enterprise GRC platforms, and MS Project.</li>
</ul><ul><li>Assist with audit readiness activities including evidence collection, pre-assessment preparation, control documentation, and post-audit remediation tracking.</li>
</ul><ul><li>Support POA&amp;M management for IL5 and IL6 environments, tracking open items to closure and escalating blockers to the Enterprise Risk Manager.</li>
</ul><ul><li>Contribute to the development and maintenance of risk policies, standards, and guidelines aligned to NIST SP 800-53 Rev. 5, NIST SP 800-171, RMF, and CMMC Level 3.</li>
</ul><ul><li>Coordinate and track internal audit schedules, findings, and corrective action plans across business units.</li>
</ul>
Third-Party Vendor Risk Management
<ul>
<li>Execute vendor risk assessments as part of the onboarding and periodic review lifecycle, including security questionnaire administration, documentation review, and risk scoring.</li>
</ul><ul><li>Maintain the vendor risk inventory and lifecycle tracking records, ensuring all vendors are appropriately tiered and assessed on schedule.</li>
</ul><ul><li>Monitor vendor risk signals including cybersecurity advisories, regulatory actions, and contractual compliance status, escalating material changes to the Enterprise Risk Manager.</li>
</ul><ul><li>Support contract and procurement teams by providing vendor risk assessment findings and recommended risk mitigation language.</li>
</ul><ul><li>Assist in ensuring TPVRM program alignment with CMMC supply chain requirements, DFARS clauses, and ITAR/export control considerations for critical suppliers.</li>
</ul><ul><li>Develop and maintain vendor risk reporting inputs and dashboard content to support executive-level visibility into third-party risk exposure.</li>
</ul>
Cross-Functional Collaboration
<ul>
<li>Serve as a reliable day-to-day point of contact for risk-related inquiries from internal stakeholders across engineering, security, operations, and legal teams.</li>
</ul><ul><li>Track program milestones, action items, and deliverables, proactively communicating status and flagging risks or dependencies to the Enterprise Risk Manager.</li>
</ul><ul><li>Continuously improve risk program workflows, documentation templates, and reporting processes to support scalable and repeatable execution.</li>
</ul><ul><li>Support the preparation of materials for internal leadership briefings, external assessor interactions, and government partner reviews.</li></ul> 


Qualifications
<ul>
<li>5+ years of experience in enterprise risk management, GRC, cybersecurity risk, compliance, or a closely related discipline.</li>
</ul><ul><li>Working knowledge of NIST SP 800-53, NIST SP 800-171, DoD RMF (IL5/IL6), and CMMC, with direct experience supporting assessments or audits under one or more of these frameworks.</li>
</ul><ul><li>Familiarity with risk assessment methodologies including FAIR and/or OCTAVE, with a desire to deepen applied expertise in risk quantification.</li>
</ul><ul><li>Experience supporting or executing third-party/vendor risk assessments, including questionnaire administration, documentation review, and risk tracking.</li>
</ul><ul><li>Hands-on experience with program management and GRC documentation tools including Jira, Confluence (Atlassian suite), MS Project, enterprise GRC platforms, and MS Visio or Lucidchart.</li>
</ul><ul><li>Strong written and verbal communication skills, with the ability to clearly document findings and translate risk concepts for both technical and non-technical audiences.</li>
</ul><ul><li>Highly organized, self-directed, and comfortable managing multiple workstreams simultaneously in a fast-paced, regulated environment.</li>
</ul><ul><li>Active or ability to obtain SECRET, TS/SCI security clearance.</li>
</ul><ul><li>Must be a U.S. citizen, lawful permanent resident, or protected individual per ITAR requirements (8 U.S.C. 1324b(a)(3)).</li></ul> 


Preferred Qualifications
<ul>
<li>Background in startup, aerospace, defense technology, or SaaS companies operating in regulated government markets.</li>
</ul><ul><li>Industry certifications such as:</li>
</ul><ul><li>Certified in Risk and Information Systems Control (CRISC)</li>
</ul><ul><li>Certified Information Systems Auditor (CISA)</li>
</ul><ul><li>Open FAIR Certification (The Open Group)</li>
</ul><ul><li>CompTIA Security+ or equivalent</li>
</ul><ul><li>Certified ScrumMaster (CSM) or similar Agile certification</li>
</ul><ul><li>Experience with cloud environments, particularly Azure Government and/or AWS GovCloud.</li>
</ul><ul><li>Familiarity with POA&amp;M management, SSP documentation, and audit evidence collection in DoD authorization contexts.</li>
</ul><ul><li>Working knowledge of ITAR, EAR, DFARS, and export control considerations as they relate to vendor and supply chain risk.</li>
</ul><ul><li>Familiarity with Agile/Scrum and hybrid project delivery models.</li></ul> 


Compensation
<ul>
<li>Base Salary: Denver - $115,000 to $155,000, Long Beach - $120,000 to $165,000, Washington, DC - $120,000 to $165,000</li>
</ul><ul><li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave</li>
</ul>
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 


Additional Requirements
<ul>
<li>Work Location: This role will be onsite at one of our office locations: Centennial, CO, Long Beach, CA, or Washington, DC #LI-Onsite</li>
</ul><ul><li>Work Environment: Standard office setting, working at a desk or in a production factory environment</li>
</ul><ul><li>Physical Demands: May include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20 lbs.</li></ul> 


This position will be open until it is successfully filled.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

We value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</div><div> 
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.</div></div>

Enterprise Risk Analyst

Join True Anomaly and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

True Anomaly

About Company

Senior Machine Learning Engineer

Enterprise Risk Analyst