To co-start local digital agency (Redding/Chico/Others)

Are you passionate about technology and looking for a dynamic work environment? We are an LED screen company specializing in rental, sales, and customization of screens and shapes, and we’re looking for motivated individuals to join our team! Position: Part-Time / Full-Time Location: San Diego , Santee Salary: Starts at $18 What You’ll Do: Assist in the installation and setup of LED screens for various events. Manage warehousing duties, including inventory tracking and organization. Work with computer software and mobile applications related to LED technology. Participate in occasional travel for installations and events. Who We’re Looking For: Knowledgeable in computer systems and software applications. Familiarity with mobile applications is a plus. Strong problem-solving skills and attention to detail. Ability to work independently and as part of a team. Willingness to travel as needed. Why Join Us? Be part of an innovative company in the growing LED industry. Flexible work hours to accommodate your schedule. Opportunities for professional growth and development. If you’re ready to take your career to the next level with a fun and exciting team, !Join us in bringing vibrant visuals to life! www.elegantlightings.com insta: elegan_lighitngs

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.

Hey Programmers, Want to learn by doing, get a sweet boost for your resume, get involved in a new arm of a business at an early stages, or just keep busy this fall? If you are a tinkerer, interested in electronics, machining, factory efficiency, software or robotics, we offer an opportunity for hands-on, get-dirty problem solving in your field. Jump into factory production and learn by doing. You'll work in production, doing the very tasks that need to be improved. As you go, you'll be asked to look around and automate the equipment and improve processes to save yourself time and effort -- design, build, program, and implement factory equipment. And you get paid! You will be working in a beverage factory. Our specialty is canned cold coffee drinks. You will be brewing coffee (on a large scale), canning coffee, labeling coffee, boxing coffee, et cetera. This is a hands-on job involving much physical work, which will give you plenty of time to ponder factory efficiency and automation. Software engineers, electrical engineers, or simply practicing enthusiasts of electronics and automation who want to get hands-on and start building. To apply, please complete our questionnaire. https://forms.gle/qVXMKPTUD7RZvGrMA This is an immediate opportunity. About us https://www.mountjoysparkling.com https://www.buildshift.alexmountjoy.com

About Pathway Pathway is building LiveAI™ systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think. The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world's top scientists and competitive programmers, alongside seasoned Silicon Valley executives. Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland. The Opportunity We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data. For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates. If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you! You Will help design experimental end-to-end ML/AI pipelines contribute to addressing new use cases, beyond state of the art improve/adapt AI pipelines for production, working directly with client data (often live data streams) invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines. design benchmark tasks and perform experiments. build unit tests and implement model monitoring. contribute high-quality production code to our developer frameworks, used by thousands of developers. help to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. Requirements Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You Are A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses. Passionate about delivering high-quality code and solutions that work. Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up. Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.). Experienced with model monitoring, git, build systems, and CI/CD. Respectful of others Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ... Fluent in English Bonus Points Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard. Showing a code portfolio. PhD in Computer Science. Authoring a paper at major Machine Learning conference. You like playing/tinkering with new tools in the LLM stack. You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps. Why You Should Apply Join an intellectually stimulating work environment. Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of data. Work in one of the hottest AI startups, that believes in impactful research and foundational changes. Benefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled – please apply immediately. Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. (Note for candidates based in India: We are proud to be part of the current Inter-IIT as well as a partner of ICPC India. Top IIT/IIIT graduates are more than welcome to apply regardless of current location.) If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

Job Title: Web Designer/Developer – Auction Website Design (Freelance/Contract) Company: Gavel Shack Auction Design Location: Remote (Flexible) Compensation: TBD – Based on speed and quality of the work. The potential for a full-time salary of $80K+ for the right candidate! Are you a web designer/developer with a passion for creating customized online auction platforms? Gavel Shack Auction Design is looking for a talented individual to help us create a white-label auction website tailored for our auctioneer and auction house clients. Responsibilities: Design and develop a custom auction website from scratch or using platforms like Wix, WordPress, or similar site builders. Work closely with our team to ensure the design aligns with the needs of our auction house clients. Integrate auction software features (bidding, item listing, payment processing, etc.). Ensure the site is user-friendly, secure, and scalable. Provide a responsive and smooth user experience across all devices. Optional: Customize or adapt open-source auction software (from platforms like GitHub) to meet the project’s requirements. Requirements: Experience with web design/development – No formal degree required, but a background in website creation, coding, or software development is a must. Experience with auction websites or similar e-commerce platforms is a plus. Proficiency in HTML, CSS, JavaScript, and other relevant programming languages. Ability to work quickly and efficiently to meet deadlines. Creativity and attention to detail in designing a polished, white-label solution. Ability to take initiative and bring new ideas to the table, making the website standout from competitors. Bonus: If you’ve worked with auction software before, or can develop an auction system from scratch, that would be a huge plus! Compensation: This is a performance-based contract gig. Your pay will be determined by how quickly and effectively you deliver the final product. The faster and higher quality your work, the more you'll be compensated. If you impress us with this project, there is great potential for a full-time position offering a salary of $80K+. Why Join Us? Real Impact: You’ll be creating an essential tool for auction houses and auctioneers, playing a pivotal role in how they expand their online presence. Flexible Work: Work remotely and set your own hours. Room for Growth: We’re looking for someone who can grow with us long-term, with the potential for a permanent position. Work with a Creative Team: Join a team that values innovation and attention to detail. How to Apply: No need to submit a formal application just yet! If you're interested, simply reach out to us with a brief description of your experience, any relevant work samples or links to previous projects, and let us know why you’d be a good fit for this gig. While a resume is not required, it always helps. The position needs to be filled ASAP, so if you’re excited about this opportunity, don’t wait! About Gavel Shack Auction Design: Gavel Shack Auction Design is a cutting-edge company that builds customizable auction platforms for auctioneers and auction houses. Our mission is to help our clients expand their reach and offer smooth, professional online auction experiences. Please inquire by responding to this ad. Can start someone as soon as today.

Part time 3 days a week helping service fish ponds and fountains. Must enjoy working outside at multiple sites per day. Most work includes checking water chemistry, netting debris, trimming water plants, and cleaning filters. Job requires you to pack your own lunch and bring water for the day. Comfortable waterproof shoes are recommended. all other safety gear and tools will be provided. Work hours are usually 9am-5:30pm Wednesday Thursday and Friday. you must have dependable transportation to arrive at work on time (near Camden Ave. and Union ave. in San Jose) Please email your resume or your contact info along with any questions you may have. Great opportunity to learn a trade and work in beautiful peaceful settings. Must work side by side with owner/ potential opportunity to run your own route for the top pay. Possible business opportunity for the right person/ owner nearing retirement Must be self motivated, eager to learn, dependable responsible candidate with good driving record