Draftsperson (Speonk)

Stealth-Stage Startup Location: Northern Virginia or Colorado Springs, CO (Hybrid with regular in-person visits, telework from home office) Type: Full-Time or Contract-to-Hire Compensation: $95,000–$130,000+ with bi-weekly milestone-based bonuses Benefits: IT resources (top-tier development machine: MacBook Pro or preferred Windows/Linux setup), home office support, and a collaborative, high-impact work environment. Start Date: November 1, 2025 About the Opportunity: We’re a stealth-stage startup building a mobile-first, AI-integrated platform that solves high-impact, real-world problems with clarity and speed. Inspired by the pioneering work of Dr. Howard Moskowitz, our platform leverages Mind Genomics—a revolutionary approach to understanding human preferences—to deliver transformative solutions. Already in early pilots with trusted public-sector and national-level users, we’re building what others thought couldn’t be done. Join our small, dynamic team in Northern Virginia or Colorado Springs to shape the future. What You’ll Do As a Full Stack Engineer: You’ll collaborate with Dr. Moskowitz, our dedicated UX designer, and infrastructure team to connect our polished front end to robust backend systems. Using Agile processes, you’ll drive software improvements, add capabilities, and incorporate customer feedback to deliver a reliable, secure platform. Key responsibilities include: Connecting our existing front-end interface (designed in Figma) to the platform’s core logic and infrastructure. Building and optimizing backend systems using Java, Node.js, Python(Flask/Django), or similar frameworks, with a focus on well-documented, secure code. Collaborating with our infrastructure team to deploy, secure, and scale cloud-based systems (e.g., AWS, GCP). Integrating third-party APIs and AI/ML models (e.g., OpenAI, Hugging Face) to enhance functionality. Ensuring fast, reliable data flows between the UI, backend services, and external APIs. Partnering with our UX designer to translate Figma designs into user-centered, deployable features. Using Agile methodologies to iteratively improve software, add capabilities, and incorporate customer feedback. Maintaining and enhancing existing code to ensure reliability and security. Who You Are: You’re a builder who thrives in a fast-paced, Agile startup environment with minimal layers and maximum ownership. You Bring: 3+ years of full stack development experience (or equivalent project leadership)with proficiency in Java, Node.js, Python (Flask/Django), RESTful APIs, and databases (e.g., PostgreSQL, MongoDB). Experience writing well-documented, secure code with a focus on security best practices (e.g., addressing vulnerabilities during development). Experience collaborating with UI/UX teams using Figma or similar design tools. Familiarity with Agile development processes, including iterative improvements and customer-driven updates. Comfort with cloud platforms (e.g., AWS, GCP, Azure) and collaborative tools like GitHub. Nice-to-Have: Experience with testing, test planning, test automation, and vulnerability testing to ensure high-quality, robust systems. Strong problem-solving skills and the ability to navigate ambiguity with a proactive, autonomous mindset. Passion for collaborating with designers and scientists to create polished, impactful features. Residency in Northern Virginia or Colorado Springs area (DC and Maryland candidates considered) with the ability to attend regular in-person visits and telework from a home office (must provide own internet access). U.S. work authorization (no visa sponsorship available). Why Join Us? You’ll work alongside Dr. Howard Moskowitz to shape the next generation of Mind Genomics products, contributing to a platform with real-world impact. Our flat, Agile team empowers you to own your work, make decisions, and grow with us. Enjoy competitive pay, milestone-based bonuses, fully provided IT resources (including a top-tier development machine), and a culture that values innovation, collaboration, and diversity. How to Apply: Submit your resume, GitHub or portfolio link, and a 1–2 paragraph note (human-written, please!) about what excites you about this role and how you can contribute to our vision. Email your application to wingertnr@gmail.com (mailto:wingertnr@gmail.com) or call 305-803-8403 to schedule an in-person interview. Our Hiring Process: Step 1: Application review (resume, portfolio, and note). Step 2: Technical screening with our engineering lead (focused on real-world problem-solving, no whiteboard trivia). Step 3: Optional discussion of past projects or a short take-home exercise. Step 4: Final in-person interview with the team. We’ll acknowledge your application within 2 business days and aim to update shortlisted candidates within 5 business days. Target start date: November 1, 2025. A Teaser of What’s Ahead: You’ll contribute to a platform already making waves in early pilots with public-sector and national-level users. Using Agile processes, you’ll help us iterate, innovate, and deliver a production-ready system that redefines how complex problems are solved through AI and human insights.

213 N 7th St, Colorado Springs, CO 80905, USA

Negotiable Salary

Workable

Sr. AI/ML Computer Vision Engineer

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.

Irvine, CA, USA

$130,000/year

Draftsperson (Speonk)

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