Mudlogger Salary at Geosite Inc BETA

Senior Machine Learning Engineer Location: Onsite / Hybrid, Mountain View, CA Company: Stealth Mode GenAI Startup Join a stealth mode GenAI startup backed by a top VC, they are currently a team of 10, with folks from Google, PayPal, and Coinbase to name a few. This company have recently secured a huge funding round and are focused on building cutting-edge AI-driven consumer applications at scale. We are looking for an an Applied ML Research Engineer to join their team. You should have strong coding skills and a background in applied machine learning. The ideal candidate will have extensive experience with Large Language models, understanding of LLM layers, and expertise in handling various data types and data cleanup processes. Key Responsibilities: Research and apply the latest GenAI trends to their product roadmap. Design, build, and optimize LLM applications, including data processing, model training, and MLOps. Collaborate with cross-functional teams to create impactful AI solution

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Responsibilities: · You will develop too

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurit

Company Description Create is a generative AI first builder that lets individuals and businesses build sites and apps with just English. Our mission is to give everyone the power of software creation. We’re a small team in San Francisco backed by top VCs. Who you are: Ship every day: You launch frequently. You know how to descope to get tangible results fast. Owner: You can go from ambiguous problem to solve, autonomously. You’re relentless and you never say “not my job”. Fearless: You take on things you don’t know how to do. You do things that are uncomfortable for others. High taste: You’re right a lot. You have strong judgment, and your first pass is often very good. You’re open to feedback and synthesize it in your next iteration. Resilient: When bad news hits, you say “good”. You don’t easily give up. Customer obsessed: You base your insights on real conversations with customers. You do what it takes to make them succeed. What you will do: We’re hiring an engineer to push forward

FranklinWH is a rapidly expanding company determined to become the leader in the global energy home storage system (ESS) industry. FranklinWH offers whole home energy solutions typically coupled with solar PV systems, bringing households into the modern all-electric future. Though founded by experts in power electronics, BMS and EMS, FranklinWH is equally focused on energy management software while also providing top level service to our partners and customers. FranklinWH is expanding its global footprint, relying on an industry leading supply chain. This is an exciting time to be at a fast-growing company in a fast-accelerating industry. Job Responsibilities: Supervise and manage suppliers' process quality, including daily, weekly, and monthly quality meetings. Continuously identify process quality risks through PFMEA and improve the process quality control plan. Conduct quality assessments for NPI (New Product Introduction) and establish quality standards. Perform production line aud

Data Science – Machine Learning / Full Time / Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while delivering an essential service to society. What You’ll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency

LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners. At Linked, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Overview We are seeking a Director to lead the Security Foundations Engineering (SFE) team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of securing large-scale, distributed systems and microservices. This role will play a pivotal part in the design and execution of solution

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Espresso is LinkedIn's core data-as-a