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Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data. Expertise in SQL and Python to transform data into accurate, clean data models. Become an expert in our organization’s data models and the company's data architecture.

Job Description**This internship requires the intern sit in our Bellevue office. Solely summer internship unavailable. Our internship length is generally 3 months to a year. About The Energy Authority The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Join Our Team as a Process Automation Intern! Are you a motivated problem-solver eager to gain hands-on experience in energy markets and automation? Our multi-month internship program in the Bellevue office offers an immersive opportunity to explore North American Power Markets while contributing to impactful automation solutions. As a Process Automation Intern, you’ll collaborate with the Process Innovation Team to scope, design, and implement tools that enhance operations across TEA’s trade floor. You’ll sharpen your skills in SQL, Python, UiPath, and data visualization while building a strong foundation for a future career in energy, data, or technology. **This internship requires the intern sit in our Bellevue office. Solely summer internship unavailable. Our internship length is generally 3 months to a year. What You’ll Do: Automation & Innovation • Partner with the Process Innovation Team to research, design, and deploy automated solutions using SQL, Python, UiPath, PowerBI, and Tableau., • Clean, validate, and visualize data to ensure accuracy and usability for decision-making., • Troubleshoot issues and perform ad-hoc analyses in real time., • Cutting-Edge Experience: Work with advanced tools and technologies like SQL, Python, UiPath, Tableau, and PowerBI., • Cross-Department Exposure: Collaborate across departments and gain insights into trading, settlements, and power management., • Currently pursuing a bachelor’s or master’s degree., • Excellent communication, collaboration, and time management skills., • Strong analytical thinking and curiosity to learn about automation and the energy industry. Ready to energize your career and make an impact through automation? Apply now to join our team and take the first step toward an exciting future with TEA! TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA’s founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It’s YOUR Future. It’s OUR Future.

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone—we absorb the world's content and help our members listen to it on the go, at their own speed, with tools that make learning easier, deeper, and faster. Or, put another way: what Spotify has done for audio entertainment we're doing for audio information. And whatever we're doing seems to be working: we're #1 in our category, profitable, and have hockey-stick growth. With that growth comes the need for a Software Engineer, Platform to join our newly formed Platform team and help us scale our infrastructure, optimize the performance of key product flows and build end-to-end systems. This is a key role and ideal for someone who thinks strategically, enjoys high-pace environments, passionate about owning product decisions and has experience building and scaling complex engineering systems. Some of the things you'll do: • Build, own and report on the performance of complex end-to-end systems, • Actively participate in product decisions and refining the product roadmap, • Experience. You've played a crucial role in building and maintaining of large scale products and have worked both backend and frontend, • Systems thinking. You know how to think high level about end-to-end systems involving multiple products, 3rd party services etc, • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Not looking but know someone ideal for the role? Refer them! We'll send you (really good) chocolate if we make the hire.

Job Description We are seeking a talented GCP Data Engineer based in California City. You will be responsible for designing, building, and maintaining robust data pipelines and data solutions on the Google Cloud Platform. Requirements • Strong experience as a GCP Data Engineer, with proven experience in designing and implementing data pipelines and solutions on the Google Cloud Platform., • Proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Data Fusion., • Experience in data ingestion, data transformation, and data modeling on GCP., • Strong programming skills in Python or Java, and experience with SQL., • Experience with data integration, ETL, and data warehousing concepts., • A strong understanding of data governance, data quality, and data security., • Experience with CI/CD pipelines and automation frameworks., • Excellent problem-solving and troubleshooting skills. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This a hybrid position in Seattle, WA or New York, NY. We are onsite 3+ days per week. What you'll do: You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. * Optimize infrastructure for performance, scalability, and reliability. * Ensure rigorous testing, validation, and continuous improvement of deployed models. Who you are: You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Know the pitfalls and tricks for building with LLMs, especially RAG systems. * Have experience with the level of obsession over detail needed to produce high quality ML systems. * Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks. * Are experienced in Python. * Know how to work independently to handle ambiguity. * Excited about the opportunity to tackle impossible problems. We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, PayPal, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job Description About Us: Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry! Responsibilities: As a Staff Software Engineer, your primary responsibilities will be to own design and delivery of full stack product features. A key component of your work will be to scope out and build the best-possible data solutions to green-field problems at scale. This includes working directly with customers to define the problem, shortlisting tools and technologies, implementing and validating production grade software, evaluation, and deployment. You'll build key product features with direct impact on company success. You'll work closely with customers to understand their problems and requirements. You'll focus on generalizing your work and building abstractions that improve a variety of integration with common data stack oriented technologies. Requirements • You have minimum 8 years of writing production grade software, ideally with experience at a B2B SaaS company, • Experience with a modern object-oriented language such as Python, Go and Java, • Strong experience with React and have led Frontend projects, • You’re excited about being cross-functional and owning the lifecycle of building novel solutions to complex problems — from development to deployment., • You stay up-to-date with the latest developments in your area of interest in both software development and the data space. You’re comfortable reading technical papers and documentation, and reproducing the results in a production environment., • You’ve previously worked with a variety of backend technologies, including Infrastructure as Code (Terraform/Pulumi), relational databases and NoSQL databases, and modern API frameworks., • You’re really excited about solving the biggest challenges in the modern data stack and building applications that leverage these technologies for solving complex data problems., • You enjoy fast-paced environments and exhibit a high degree of ownership and self-sufficiency. Unstructured environments are exciting to you because they represent opportunities for growth and leadership. Tech Stack: • TypeScript, • Python, • Node, • Postgres, • AWS, • Snowflake, • Be part of a pioneering team that is redefining the data industry., • Work on cutting-edge technology with the opportunity to make a significant impact., • Collaborate with a talented and passionate team of engineers and industry experts., • Enjoy a dynamic, fast-paced, and supportive work environment., • Competitive compensation package and benefits. If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you. Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.

Job Description About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.