I'm in need of a Tic Toc expert to help navigate my growing channel (S minneapolis)

We are a small firm that is looking to add to our software development team. We are specifically looking for someone with knowledge and experience in the field of computer vision and neural network models. You will be working in the world of firearms and will regularly be around and working with military weapons systems. Requirements: You MUST be a US citizen (Due to ITAR) No criminal record In person work only (Carson City, NV) Okay working directly with police and military units and military weapons 5-10% time traveling Qualifications: 5+ years experience with software development focusing on computer vision in a professional environment or Master / PHD with a focus on computer vision + 1 year professional experience If you don’t meet these exact requirements but this particular job sounds intriguing, please still reach out. Timeline: Initial screening - Oct / Nov Testing / Interviews - Nov / Dec Hiring Target - Dec / Jan Benefits: Normal schedule is 4/10s with paid lunch Paid time off Medial benefits

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

You will have to come in person to NYC office and help me create Powerpoint decks (based on my suggestions) - about entrepreneurship . I am an experienced founder running a multi-billion dollar company - and i need someone to collaborate with me with minimal direction. Email me to explain what makes you qualified and show me examples of your work

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.

Job description Quantitative Trading Interns: The ideal Quant candidate will be highly proficient at researching data, pattern recognition and machine learning, statistics, econometrics or math. We will also accept recent PhD, Msc, BA/BS from top university without any experience... You will be a researcher or mathematician motivated by what’s new to ensure you're always ahead of the curve. You will understand the need and importance of strong research and strong modelling. On a day to day you will: Working on your own strategy research Back Testing models Working with the development team to execute models. Execution Latency strategy Research Machine learning research Statistics/Econometrics research Market microstructure research Below qualifications are preferred, but not necessarily a must: PhD in Maths Stats or Comp Sci from a top school MIT, Cornell, Stanford, Oxbridge, Imperial, UCL or global top 50 engineering school Good understanding of Stats and time series Understanding of relational and non-relational databases with or without using an ORM Matlab or R ideally C++ or Python Interest in quantitative problems We are also looking for Quant Development Interns: Will have a computer science degree from a top tier university with a genuine passion for programming and tackling problems, the ability to help build bespoke trading systems and tools for, with some knowledge of C++ highly desired but not essential. Requirements: Python Knowledge of time series analysis / stochastic calculus / machine learning / data mining / code optimisation would be a plus C++ The internships entails quite a range of potential responsibilities depending on your abilities and the needs of the business. You may be required to: Implement trading strategies; Build tools and engines that improve our ability to analyse data; Work on complex computational and data-related problems and implement efficient an innovative solutions; Proactively develop tools to analyse data, models, and trading, and develop platform enhancements to improve the quality of our execution; Develop visualisations, and other analytics for live and experimental trading; Improve system component performance by orders of magnitudes by improving the underlying algorithms/ method of processing / identifying systems bottlenecks; Improve the accuracy of our trading simulator, analyse differences to actual trading, and then work to improve the correlation; Design extremely high-performance, highly-reliable and finely-tuned numeric computational programs and implement such models/algorithms in python and C++ language with production quality code; Monitor our trading system and fix production problems; To do this effectively, you will need to be curious, intellectually honest, practical, purposeful, committed to high quality computer code and to apply clear judgement and critical thinking, as well as collaborate closely with others in the firm. You will be joining a small team where your impact will be immediate and tangible and will be working with experienced finance professionals who will teach you the business. We are open to hearing your ideas and encourage you to make suggestions on any area that can be improved. We aim to reward people on their contribution to firm performance including helping others and the internship will be converted into full time depending on the performance... Employment Type Full-time

As a Site Reliability Engineer at iSoftTek Solutions Inc, you will be responsible for ensuring the reliability, performance, and scalability of our applications and infrastructure. You will work closely with development teams to identify and resolve issues, implement automation and monitoring solutions, and optimize system performance. We are looking for a candidate who is passionate about system stability and has a strong background in Linux systems administration, scripting, and automation. The ideal candidate should have experience with cloud platforms such as AWS or Azure, as well as knowledge of containerization technologies such as Docker and Kubernetes. Requirements Requirements: 3+ years of experience as a Site Reliability Engineer or similar role Strong Linux systems administration skills Experience with scripting languages such as Python or Bash Knowledge of cloud platforms such as AWS or Azure Experience with containerization technologies such as Docker and Kubernetes Proficiency in using monitoring and alerting tools such as Prometheus, Grafana, or Nagios Understanding of networking protocols and concepts Strong problem-solving and troubleshooting skills Ability to work in a fast-paced and collaborative environment BS or MS degree in Computer Science or a related field Benefits What We Offer: Swift growth opportunities from both a financial and career perspective Financial security through competitive compensation, incentives, and retirement plans 100% paid medical insurance Paid vacation & time off 401(k) retirement savings with a generous company match Charity participation and matching The stability of a company with a record of strong financial performance for over two decades; Never had a lay-off and is 100% organically grown