Automation and Cloud Services Engineer

Company Description www.spkn.app Spoken is a first-of-its-kind social commerce marketplace powered by real consumers and their genuine connections. We turn everyday word-of-mouth moments into a scalable sales engine for brands—without influencers, ads, or the noise of traditional social media. Our platform catalogs real purchases from real people, making them discoverable and shoppable by their friends. This means brands get lower acquisition costs, higher trust, and authentic engagement, while consumers get a safe, private space to share and shop with people they actually know. We’re pre-seed, early in our journey, and building for massive scale. This is an opportunity to join at the ground floor, shape the product, own major technical decisions, and directly influence the trajectory of the company. Role Description We’re looking for a Founding Engineer who can take Spoken from MVP to a robust, scalable platform. You’ll be responsible for: • Product Ownership – Leading technical architecture, system design, and development for our mobile and web applications. • Hands-On Development – Building new features, integrating AI-driven product recognition, and optimizing for speed, reliability, and scalability. • Technical Vision – Making key stack decisions and setting engineering best practices. • Rapid Iteration – Moving quickly from concept to deployment, testing and refining based on real-world user feedback. • Team Building – Hiring and mentoring the future engineering team. • Partnership – Working directly with the founder to align product and business strategy and sharing in both the responsibility and the upside. This is not just a job—it’s true founder-level involvement, with equity and the opportunity to shape a category-defining product. This is an “all-in” role so an appetite for problem solving and entrepreneurship is key! Qualifications Must-Haves • Proven experience building and shipping consumer-facing web or mobile applications. • Strong proficiency in React Native, Flutter or other similar cross-platform frameworks and backend development. • Ability to design, build, and deploy scalable APIs and databases. • Experience with cloud platforms (AWS, GCP, or Azure). • Strong problem-solving mindset and a bias toward action—comfortable in a fast-moving, high-ambiguity startup environment. • Entrepreneurial spirit and willingness to own outcomes. Nice-to-Haves • Experience with AI/ML integration (image recognition, recommendation engines). • Background in marketplace or e-commerce platforms. • Prior startup or founder experience. • Located in the SF Bay Area (preferred for in-person collaboration). Compensation: Significant equity stake (5-20% depending on experience). Guaranteed salary & benefits upon pre-seed funding secured. Location: San Francisco Bay Area (hybrid/remote possible for the right person). Stage: Pre-seed, MVP in development, fundraising in progress.

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.

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