• 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On - Design and build production ML systems that power core experiences across the platform, including: - Personalized recommendations, search, and ranking systems - Intelligent advertising systems including ranking, bidding, measurement, and optimization - Content, Advertisers, and User understanding - Large-scale machine learning pipelines and model serving infrastructure - Applied AI and LLM-driven experiences - Work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do - Design, build, and deploy production-grade machine learning models and systems at scale - Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring - Build scalable data and model pipelines with strong reliability, observability, and automated retraining - Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems - Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams - Improve system performance across latency, throughput, and model quality metrics - Research and apply state-of-the-art machine learning and AI techniques - Contribute to technical strategy, architecture, and long-term ML roadmap Qualifications - 3-5+ years of experience building, deploying, and operating machine learning systems in production - Strong programming skills in Python, Java, Go, or similar languages - ML Fundamentals: strong grasp of algorithms from classic statistical learning to DL architectures - Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) - Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure - Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions - Experience improving measurable metrics through applied machine learning Preferred Qualifications - Experience with recommender systems, search/ranking systems, advertising/auction systems - Familiarity with distributed systems and large-scale data processing - Experience working with real-time systems and low-latency production environments - Background in feature engineering, model optimization, and production monitoring - Experience with LLM/Gen AI techniques - Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams - Ads Measurement Modeling - Ads Targeting and Retrieval - Advertiser Optimization - Ads Marketplace Quality - Ads Creative Effectiveness - Ads Foundational Representations - Ads Content Understanding - Ads Ranking - Feed Relevance - Search and Answers Relevance - ML Understanding - Notifications Relevance Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave