Charles River C# Developer Needed at a Leading Hedge Fund

Senior Data Analyst positions offered by Capital One, National Association (McLean, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R225859.

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. We are seeking a Senior AI/ML Computer Vision Engineer to drive the development and deployment of AI-powered features across our smart home automation product lines, which includes smart security cameras, video doorbells and autonomous vacuum cleaners. This role is crucial for optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate has a strong background in embedded AI, computer vision, and real-time video processing with hands-on experience in deploying and optimizing ML models on constrained edge devices. Responsibilities Lead the development of ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, radar, LiDAR, and other sensors Utilize multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance smart device intelligence. Optimize deep learning models for low-latency inference on embedded hardware (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU). Implement quantization, pruning, and model compression to maximize performance on edge devices. Collaborate with cloud team to develop edge-to-cloud data pipelines Requirements Required Qualifications Master’s degree in computer science or related field 3-7 years of experience in embedded AI, edge computing, and computer vision. Strong proficiency in Python for embedded AI development. At least 4 years of experience in deep learning frameworks such as TensorFlow, PyTorch and Darknet Expertise in machine learning model deployment on resource-constrained edge devices. Proficiency in image/video processing and computer vision tools such as PIL/Pillow, gstreamer, FFmpeg, OpenCV Able to simultaneously manage multiple projects Desired Qualifications Familiarity with state-of-the-art deep learning models for image segmentation and object detection Experience in Ensembling methods for combining multiple ML models Knowledge of low-power optimization techniques for AI inference on edge hardware. C/C++ Benefits Salary range: $130,000-$180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

Data Scientist II positions offered by WarnerMedia Services, LLC (Burbank, CA). Work with managers and business stakeholders to fully understand business requirements and the desired outcomes of their science and analytics needs. Perform exploratory and predictive analysis with SQL, Python, R. Produce statistical and machine learning models that inform business initiatives. Offering salary range of $83,090 to $154,310 per year. Position reports to Burbank, CA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 8387489.

Qualis LLC is seeking a highly experienced Golden Dome for America System of Systems Integration SME to provide expert-level technical leadership and mission integration support across a portfolio of highly classified space control, ground, and C2 systems. The successful candidate will lead and support system design, integration, test, and operational efforts for advanced space control systems—ensuring the alignment of technical architectures with mission requirements. Essential Duties: Serves as a senior technical authority for development and integration of highly classified space control systems, including space, ground, and command-and-control (C2) elements. Guides the maturation of emerging technologies through all Technology Readiness Levels (TRLs) from concept to deployment. Leads and contributes to the development of space system architectures, system-level technical requirements, and associated program documentation in support of ACAT-like programs. Provides systems engineering and program management expertise for information operations and multidomain space and airborne capabilities. Conducts system-level design reviews, technical audits, and risk assessments. Supports space situational awareness (SSA) architecture development and assess associated capability gaps and limitations. Offers technical leadership across multiple space control technologies including optical sensors, radar, SIGINT, electronic support measures, and communications systems. Leads the integration, test, and operations planning for ground system architectures in support of space control missions. Interfaces with government stakeholders to ensure technical solutions align with mission needs and strategic objectives. Requirements Required Qualifications: Active Top Secret clearance with SCI eligibility. Minimum of 15 years of experience in space systems engineering, systems integration, and technical program leadership. Demonstrated expertise in the full lifecycle of space system development—from architecture and design to test, integration, and operational fielding. Proven experience coordinating across classified programs and complex acquisition frameworks. Strong understanding of SSA capabilities, limitations, and future architecture needs. Track record of developing and managing high-level technical documentation, reviews, and artifacts for large defense programs. In-depth knowledge of space control mission areas and supporting ground infrastructure. Exceptional communication, coordination, and leadership skills, particularly in multi-agency or cross-domain environments. Preferred Qualifications: Advanced degree in Engineering, Physics, Space Systems, or a related technical discipline. Prior experience with ACAT I or II programs and DoD 5000-series documentation. Experience working within Special Access Programs (SAPs) or compartmented environments. Benefits Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment. Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify

We are developing next-generation AI platforms that fuse finance and learning — built to deliver real execution and measurable results for businesses and professionals. We’re seeking visionary technical builders to join as Co-Founders / Founding Engineers at the pre-launch stage. This is not a traditional job — it’s an opportunity to shape a first-of-its-kind startup from the ground up. We’re especially interested in entrepreneurial talent with expertise in: • AI/ML Engineering • Full-Stack Development • Cloud Architecture • UI/UX Design Compensation: Equity-based founding role (with flexibility to discuss minimal salary support if needed). To apply: Please reply with a short note on your background, your key technical skills (e.g., AI/ML, full-stack, cloud, UX/UI), and attach your resume/CV. Selected applicants will then receive more details, including company information and a formal application link.

Platform Engineer - AI Tool & Integration Position Overview: The Data Analytics & AI department at RCG is seeking a highly skilled and experienced Software & Platform Engineer to join our team. This pivotal role requires a strong technical background in AI tooling, data platform architecture, cloud computing, and big data technologies. The successful candidate will be responsible for all tooling and integration with GenAI LLM, maintaining our Azure platform with OpenAI, and leveraging Databricks Mosaic AI. This role will be instrumental in driving innovation, ensuring seamless integration, and optimizing our AI and data platforms to meet the evolving needs of the business. Key Responsibilities: • Design, develop, and maintain tooling and integration for GenAI LLM and other AI models. • Manage and optimize our Azure platform, ensuring seamless integration with OpenAI and Databricks Mosaic AI. • Collaborate with cross-functional teams to identify and implement innovative AI solutions to enhance our platform capabilities. • Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation. • Develop and implement best practices for AI model deployment & scaling. • Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms. • Assess and recommend suitable LLM and CoPilot technologies that align with business needs and technical requirements. • Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies. • Keep abreast of the latest advancements in LLM, CoPilot, and related technologies to identify opportunities for further innovation and improvement. • Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced productivity and collaboration within the development team. • Integrate MS CoPilot tools into existing workflows and ensure seamless integration with other systems and applications used by the team. • Work closely with product managers, data scientists, and other stakeholders to gather requirements and ensure successful integration of LLM and CoPilot technologies. Requirements: • Bachelor’s or Master’s degree in computer science, Engineering, or a related field. • Proven experience in software/system/platform engineering, with a focus on AI tooling and integration. • Strong expertise in working with Azure, including managing and integrating AI services such as OpenAI and Databricks Mosaic AI. • Proficiency in programming languages such as Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Solid understanding of software development methodologies, including Agile and DevOps practices and tools for continuous integration and deployment. • Understanding of data security best practices and compliance requirements in software development and integration • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication and collaboration skills. Preferred Qualification: • Strong proficiency in one or more programming languages such as Python, Java, C#, or JavaScript. • Experience with large language models (LLMs) and familiarity with tools like OpenAI GPT, Google BERT, or similar. • Hands-on experience with Databricks for data engineering, data science, or machine learning workflows. • Proficiency in using Databricks for building and managing data pipelines, ETL processes, and real-time data processing. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Hands-on experience with Microsoft CoPilot and CoPilot Studio. • Proficiency in working with APIs, microservices architecture, and web services (REST/SOAP). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their integration services. • Knowledge of database systems, both SQL and NoSQL (e.g., MySQL, MongoDB). • Knowledge of natural language processing (NLP) and large language models (LLMs). • Previous experience in a similar role within a technology-driven organization. • Certifications in Azure, AI, or related areas.