Summary: Join Temporal, a leading Solana native Research & Development firm, as a Machine Learning Engineer. Contribute to cutting-edge projects by designing, training, and deploying predictive models for adversarial systems while building high-performance ML infrastructure. Stay at the forefront of technological advancements by engaging with the latest research and contributing to open-source development. Responsibilities: - Design, train, and deploy predictive models for adversarial systems - Build and maintain high-performance ML infrastructure that scales from research prototypes to production systems - Stay on the frontier: read new papers, reproduce results, experiment with hardware, and contribute to open source Required Skills: - Deep foundations in optimization, statistics, and linear algebra - Expertise in ML frameworks (ideally PyTorch) and strong software engineering skills - Experience building real-time or distributed ML systems - Curiosity, independence, and a track record of original contributions (research, open source, competitions, patents) Compensation: $200,000–$300,000 base salary, equity package, and discretionary bonus

• Architect, design and develop AI/ML solutions to solve novel business problems • Implement both traditional machine learning models and modern AI techniques • Collaborate closely with product managers, engineers, data scientists, and business stakeholders • Build robust, scalable, and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability • Develop and execute rigorous model evaluation frameworks to assess performance and resilience • Transition AI prototypes into production-ready systems • Contribute to documentation, governance, and compliance processes

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Abile Group is seeking a Post-Quantum Cryptography (PQC) Engineer to join our rapidly growing and innovative cybersecurity team! The Post-Quantum Cryptography (PQC) Engineer will play a key role in a groundbreaking federal cybersecurity modernization effort, joining the project at its inception to help design and deliver the Department’s first enterprise-wide PQC solution. - Provides engineering and technical expertise in PQC, PKI, and Automated Cryptographic Discovery and Inventory (ACDI) implementation. - Collaborates with stakeholders to define and refine PQC solution requirements. - Delivers analyses, recommendations, and staffing support to advance PQC program goals. - Develops engineering, implementation, and operations technical documents, schedules, and roadmaps. - Supports modernization of cryptographic inventory management from manual to automated processes using COTS/GOTS ACDI tools. - Evaluates emerging technologies and provides recommendations to leadership. - Implements and operationalizes the client's PQC technical solution in line with Department requirements. - Deploys ACDI capabilities to generate cryptographic inventories of quantum-vulnerable systems. - Conducts and documents post-implementation evaluations to validate PQC solution effectiveness. - Securely integrates PQC and ACDI with existing Department services (CDM, VM, Zero Trust, etc.). - Prototypes and tests NIST-approved PQC algorithms and discovery tools. - Installs and configures hardware/software replacements and upgrades for PQC transition. - Provides operations and maintenance (O&M) of the PQC solution (COTS, GOTS, SaaS). - Monitors solution health, performance, and availability; manages patching, upgrades, and optimization. - Maintains accurate solution inventories, secure configuration baselines, and user account validation. - Develops operational documentation including SOPs, playbooks, checklists, and user guides. - Provides after-hours technical support for planned and emergency maintenance. - Collaborates with SOC and other technical teams on incident response, process optimization, and integration. - Supports PQC compliance with FISMA, NIST, and federal cybersecurity mandates. - Drives Risk Management Framework (RMF) activities, including POA&M management and A&A processes. - Prepares and maintains system security documentation (SSP, IRP, DRP, BIA, CP, etc.). - Supports audits by providing evidence, coordination, tracking, and corrective actions. - Ensures ongoing risk management, continuous monitoring, and compliance with privacy and records management requirements. Qualifications - Bachelor’s degree in a related field or equivalent plus. - 10+ years of experience performing engineering, technical, or program execution functions. - Minimum certification: CISSP (or willingness to obtain within 3 months). - Strong technical expertise in systems security engineering. - Knowledge and practical experience with one or more of the following: - Post-Quantum Cryptography (PQC) engineering and implementation. - Public Key Infrastructure (PKI) design, integration, and management. - Automated Cryptographic Discovery and Inventory (ACDI) technologies. - Understanding of risks associated with PQC, PKI, and ACDI (technical, schedule, integration, etc.). - Proficiency in engineering documentation, technical standards, and compliance with federal guidance. - Experience supporting security compliance, risk management, and RMF (NIST SP 800-53). - Excellent communication skills for working with government stakeholders, cross-functional teams, and technical groups. Benefits - This position allows for 100% remote work. - Remote work requires a high level of trust in our employees. - All employees who telecommute are expected to have a quiet and distraction-free workspace with adequate internet. - Employees must dedicate their full attention and availability to their job duties during working hours. - Cameras are encouraged and can be required to be on during virtual video conferences. - Employees are required to disclose any current or future outside employment engagements. Company Description Abile Group, Inc. was formed in July 2004 to partner with the Intelligence Community and their Contractors in the areas of Enterprise Analytics & Performance Management, IT & Systems Engineering and Program & Project Management. We have significant experience with the Federal Government and are an EDWOSB dedicated to our employees and clients. Hiring Statement Abile is committed to hiring the most qualified and best fit person for the job - always has, always will. Anyone requiring reasonable accommodations should email careers@abilegroup.com with requested details. A member of the HR team will respond to your request within 2 business days. Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role provides a unique opportunity to lead the development and optimization of machine learning platforms that power autonomous mobility systems. The Lead ML Platform Software Engineer will drive the creation, scaling, and monitoring of ML pipelines, ensuring high-quality, reproducible results for perception systems. Working closely with cross-functional teams, you will design infrastructure for data collection, labeling, training, and deployment, while introducing automation to accelerate workflows. The position emphasizes technical leadership, hands-on engineering, and collaboration across software, robotics, and data teams. Ideal candidates are innovative, self-motivated, and thrive in a fast-paced, mission-driven environment. This role allows you to make a tangible impact on cutting-edge mobility technology with real-world applications. - Lead internal and external efforts to build, maintain, and enhance ML platforms and workflows. - Introduce and customize automation in data extraction, labeling, and metrics pipelines. - Develop infrastructure for training, validating, and deploying ML models in production environments. - Design monitoring dashboards and analytics tools to track perception system performance. - Ensure reproducibility, traceability, and observability across all ML workflows. - Collaborate with cross-functional teams to define requirements, implement solutions, and support milestones for prototype and production systems. Qualifications - Strong proficiency in Python or C++, with experience in building ML platforms and pipelines. - Hands-on experience with cloud-based ML workflow frameworks (e.g., Ray, Argo, Kubeflow). - Leadership experience managing cross-functional teams and collaborative projects. - Experience handling large multimodal datasets, data curation, and quality assurance. - Self-starter capable of developing end-to-end solutions from high-level requirements. - Strong problem-solving skills with customer-focused outcomes and excellent communication abilities. - Desirable: 5+ years in modern C++ development, robotics or autonomous vehicle platforms, ML model deployment in production-grade systems, familiarity with Docker, Kubernetes, AWS, and 3D visualization tools for LiDAR data. Benefits - 💻 Remote Work – Flexible work environment supporting productivity and autonomy. - 💰 Competitive Salary – Commensurate with experience and market benchmarks. - 🏥 Comprehensive Health Coverage – Medical, dental, and vision insurance. - 🌴 Paid Time Off – Generous vacation, personal, and parental leave. - 📈 Professional Growth – Opportunities to work on cutting-edge autonomous mobility systems. - 🛠 Access to Advanced Technology – Work with state-of-the-art ML, robotics, and perception tools. - 👨‍👩‍👧‍👦 Inclusive Culture – Supportive, collaborative, and diverse work environment.