Network administrator jobs in Chico, CA - 3,349 jobs

Sunnyvale, California, United States Machine Learning and AI Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, pioneering experiences. Come shape Apple products as a driven and dedicated ML Infrastructure and Data Engineer to push the limits of ML algorithms with hands‑on work and real world and simulated data, in an innovative team and be part of building the next big thing. Description As part of the Video Computer Vision (VCV) team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you'll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams. Minimum Qualifications Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. Strong foundational knowledge in Computer Science. Extensive programming experience in Python. Hands‑on experience with cloud providers (AWS, GCP, or Azure). Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes). Preferred Qualifications Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Ray, Spark, Trino). Hands‑on experience with CI/CD pipelines and practices. Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation). Experience building on LLMs or other generative models. Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery. Excellent communication skills, ability to work both independently and multi‑functionally. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading financial institution seeks a Market Executive in San Francisco to manage relationships within the Software Technology sector and lead banking teams. The candidate will focus on innovative startups and require 15+ years of experience in account management within a Commercial Bank. This role also demands strong communication and problem-solving skills. A competitive salary and benefits are offered for this full-time position, with an emphasis on industry trends and client acquisition. #J-18808-Ljbffr

We are seeking a hands-on Linux & Windows Systems Engineer to support day-to-day infrastructure operations with a strong focus on vulnerability management, patching, and collaboration across IT and security teams. This role is execution-focused and best suited for an individual contributor who enjoys working in structured environments, following security processes, and resolving vulnerabilities identified by security teams. Key Responsibilities Infrastructure Operations (Linux & Windows) Administer and support Linux (RHEL / Ubuntu / CentOS) and Windows Server (2016-2022) environments. Perform OS-level troubleshooting, system health checks, and performance tuning. Support virtualized and cloud-based environments (VMware / Azure / AWS - as applicable). Vulnerability Management & Security Operations Execute vulnerability remediation activities based on reports from security tools and SOC teams. Perform OS patching, updates, and security hardening across Linux and Windows systems. Work on vulnerability tickets, remediation tracking, and closure within defined SLAs. Collaborate with Security teams on: CVE analysis Patch deployment Risk mitigation activities Ensure systems comply with organizational security policies and standards. Collaboration & Delivery Work closely with Infrastructure, Security (SecOps), Application, and Cloud teams. Participate in change management, incident response, and operational reviews. Follow documented processes and contribute to continuous improvement. Maintain clear communication with stakeholders during remediation activities. Documentation & Process Update and maintain: System documentation Patch and vulnerability remediation records Operational runbooks and SOPs Assist in audits and security reviews as needed. Required Skills & Experience Must-Have 5-10 years of hands-on experience as a Systems / Infrastructure Engineer Strong experience with: Linux OS administration Windows Server administration Hands-on exposure to vulnerability remediation and patch management Experience working in ticket-driven, SLA-based environments Strong collaboration and communication skills Preferred / Good to Have Experience with vulnerability tools such as: Qualys Nessus Rapid7 Familiarity with: VMware / Virtualization Cloud platforms (Azure / AWS) Basic scripting (Bash / PowerShell) Understanding of security concepts: CVEs OS hardening Least privilege access

About Us: Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience's platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding‑aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors. Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators. The Role: We're looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You'll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM‑based products. Our engineering roles are hybrid - working onsite at our San Francisco office three days per week. What You'll Do: You have 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer You've worked directly on systems that support ML research or production workloads - whether training pipelines, evaluation systems, or deployment frameworks You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts You're excited to work closely with ML researchers and product engineers to unblock them with better infrastructure You're pragmatic and care deeply about making tools that are reliable, scalable, and easy to use You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems Who You Are: Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows Improve internal tools and developer experience for ML experimentation and observability Partner with ML engineers to optimize model deployment and monitoring across clinical workloads Define standards for model versioning, performance tracking, and rollout processes Collaborate across the engineering team to build reusable abstractions that accelerate AI product development Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack Pay Transparency We offer a base compensation range of approximately $200,000-300,000 per year, with the addition of significant equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. If your expectations fall outside of this range, we still encourage you to apply-our approach to compensation considers a range of factors to ensure alignment with each candidate's unique needs and preferences. Being at Ambience: An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients Dedicated budget for personal development, including access to world class mentors, advisors, and an in‑house executive coach Work alongside a world‑class, diverse team that is deeply mission aligned Ownership over your success and the ability to significantly impact the growth of our company Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan Ambience is committed to supporting every candidate's ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealth.com. We'll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates. #J-18808-Ljbffr

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance. The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations. What You'll Do Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design Engage in research and application of the latest technologies and practices in renewable energy and modular construction Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units What We're Looking For Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience. Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field Professional Engineering (PE) license preferred Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships Ability to travel to our factory in Mexico up to 25-40%. What We Offer Salary range of $120-160K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

Principal Enterprise IT Engineer, IT & Security About 1X We're an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general-purpose robots capable of performing any kind of work autonomously. We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That's why we're focused on developing friendly home robots designed to integrate seamlessly into everyday life. We're looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we'd be thrilled to hear from you and explore how you might contribute to our journey. Role Overview The Principal Enterprise IT Engineer will lead the strategy, architecture, and implementation of enterprise IT systems across the company. This role will define standards for identity, endpoint management, collaboration, and security while scaling IT infrastructure to support rapid organizational growth. You'll play a key leadership role, mentoring senior engineers and influencing cross-functional and executive stakeholders to align IT operations with strategic business needs. Responsibilities Define and drive enterprise IT strategy, architecture, and roadmaps across identity, collaboration, and device platforms Lead administration and scaling of Google Workspace, Okta, Intune, and MDM platforms with a focus on Zero Trust principles Develop and implement automation frameworks and scripting (Bash, Python, PowerShell) to streamline IT operations Align IT systems with compliance standards (e.g., SOC2, ISO 27001) and proactively mitigate enterprise risks Ensure seamless integration of IT systems with engineering, manufacturing, and robotics environments Act as senior escalation point for IT operations, mentoring IT engineers and building a high-performance function Influence executive and cross-functional stakeholders to ensure IT strategy supports business growth Requirements Expert-level knowledge of Google Workspace, Okta, Microsoft Intune, and MDM platforms across multiple OS (mac OS, Windows, iOS, Android) Strong scripting and automation skills (Bash, Python, PowerShell); experience implementing Zero Trust security Proven experience scaling IT systems globally in high-growth, cloud-first or hybrid environments Ability to lead IT architecture initiatives and partner with executive and security leadership Experience mentoring senior IT engineers and leading high-performance teams Preferred: Familiarity with Terraform, Ansible, and IT support for robotics or engineering-heavy environments Preferred: Certifications such as CISSP, Okta Certified Architect, Google Workspace Admin, or Microsoft Enterprise Mobility Benefits & Compensation Salary Range: $180,000 - $235,000 Health, dental, and vision insurance 401(k) with company match Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr

TM Process & Controls, Inc. is a full-service design-build company that provides custom process and automation solutions to a wide range of manufacturing industries. Our employees' technical design and hands-on field experience has developed, executed, and commissioned technical solutions throughout the United States and the Caribbean. We are a fast-growing process & process controls company in search of a talented individual who would like to further his/her career as an Operational Technology Network Engineer. Position Summary: Provide consultation, design, implementation and troubleshooting of industrial network and ICS cybersecurity solutions. Provide direction and coordination of OT/ICS Cybersecurity solutions for industrial projects in the food and beverage industry throughout the United States and Caribbean. Essential Responsibilities Conducts industrial network assessments and report findings through professionally written reports and presentation to clients. Works with clients to develop industrial data centers, ICS cybersecurity and industrial network solutions, including but not limited to, system architecture, Bill of Materials, industrial networks implementation planning, and endpoint security testing/planning/deployment. Design, configuration and deployment of industrial networks and industrial data centers for highly available environments including but not limited to NAS, SAN, Hypervisors, clusters, industrial network switches, firewalls and Windows or Linux servers. Design, configuration and deployment of Windows/Linux servers for infrastructure services i.e. Active Directory, DNS, SMTP Relay, WSUS, Certificate Services, etc. Design, configuration and deployment of SCADA software including but not limited to, SCADA software configuration, configuration for high availability, and integrations with databases, authentication servers, etc. Interface with IT teams to drive IT-OT integrations to completion. Develops project documentation including, but not limited to, network drawings, IP address lists, server lists, functional descriptions, user requirements, etc. Assist ICS Cybersecurity Engineers or Manager with the implementation of security controls and security monitoring included but not limited to security appliances and software, modification of network traffic flow, etc.. Assist ICS Cybersecurity Engineers or Manager with the implementation of OT/ICS cybersecurity best practices including defense-in-depth principles, principle of least privilege, IEC-62443, NIST.SP.800-82 and other applicable standards or security principles. Performs strategic system maintenance, including but not limited to, patching and firmware upgrades in high availability OT infrastructure to minimize downtime. Performs detailed resolution writeups in ticketing systems like ZenDesk, ServiceNow, etc. Readily available to support clients and controls engineers with issues related to industrial networks, SCADA software and industrial data centers. Able to be resourceful to troubleshoot and resolve problems with SCADA software and Windows/Linux operating systems. Able to quickly spin up development systems for proof of concept/testing. Understands PLC/HMI, SCADA, VFD and instrumentation functions and assist clients and controls engineer with troubleshooting. Works with subcontractors (electrical and telecommunication contractors) on projects including oversight of installation related to network infrastructure. Stays current with the latest OT/ICS cybersecurity threats, technologies and solutions. Proactively assists the Cyber Team in developing best practices to streamline the deployment of industrial network solutions including maintaining internal documentation and lab deployments. Drafting of networks layouts, OT/ICS infrastructure layouts, etc. Ensures projects are completed on time and on budget. Manages OT/ICS infrastructure projects up to $250k. Interacts with and manages customer expectations. Other functions as required by the project or team. Minimum Qualifications Cisco CCNA. 1 year experience working with virtualize environment utilizing VMware/Promox/Microsoft Hyper-V/Nutanix. 2 years of experience configuring enterprise and/or industrial networks. 3 years of controls engineering experience programming, integrating and commissioning PLC, HMI and SCADA systems. Bachelor's degree in electrical engineering, mechanical engineering, chemical engineering, information technology or cybersecurity. Ability to multitask on multiple projects and project elements. Proficient with Microsoft Office Suite including Word, Excel, Outlook and Project. Preferred Qualifications (some of the following) Engineer-in-Training certificate or Professional Engineer license. VMware VCP-CDV certificate. Very proficient with Microsoft Excel and Outlook as well as experience with Microsoft Project. Experience with AutoCAD and Microsoft Visio. Experience configuring, deploying and administering the following Rockwell Automation software packages: RSLogix5, RSLogix500, RSLogix5000, Studio5000, FactoryTalk View SE, FactoryTalk View ME, RSView32, FactoryTalk Batch, FactoryTalk Historian SE, FactoryTalk VantagePoint, PlantPAx, and FactoryTalk AssetCentre. Experience configuring, deploying and administering WonderWare System Platform components. Experience configuring, deploying and administering Ignition and/or Sepasoft. Experience troubleshooting the following networking protocols: EtherNet/IP, ControlNet, DeviceNet, Modbus RTU, Profibus PA, Profibus DP, Remote I/O (RIO), and Data Highway Plus (DH+). Experience configuring and deploying virtualization utilizing VMware ESXi, vCenter, Microsoft Hyper-V or Proxmox for manufacturing systems. Experience configuring, deploying and administering IT/OT Infrastructure, including Domain Controllers, SMTP Relay Servers, Backup Solutions, Certificate Services, etc. Experience conducting network vulnerability assessments in OT infrastructure. Experience configuring, deploying and administering Cisco/Dell/Fortinet network hardware configuration. Command Line Interface experience is most beneficial. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully preform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit for long periods of time; stand; walk; use hands to finger handle, or feel; reach with hand and arms; grasp and manipulate objects; and talk or hear. The employee may be required on occasion to climb stairs and/or ladders; kneel; stoop; crouch; and crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The nature of this job requires both office time and on-site time at a customer facility. Work during office time takes place in a clean, pleasant and comfortable office setting. Work during on-site time employees could encounter cold, hot, humid, noisy conditions. This position will require a minimum of 25% travel time. TM Process & Controls, Inc. is an Equal Opportunity Employer

A leading laboratory organization in San Diego is seeking a Machine Learning Engineer I/II to contribute to the development of foundation models for biology. This role involves training and optimizing large-scale machine learning systems in a collaborative environment with a diverse team. Ideal candidates will have relevant degrees and practical experience in large-scale ML tools, with strong communication skills. The position offers competitive compensation with a salary range from $150,450 to $203,550 for Machine Learning Engineer I. #J-18808-Ljbffr

A fast-growing tech company based in San Francisco seeks an experienced IT Engineer for contract work. You will manage IT operations, leading employee onboarding and troubleshooting. Candidates should have 3-5 years of experience in IT roles, with skills in Google Workspace and troubleshooting. The position requires reliable execution and communication skills. You will work in the office three days a week, participating in an innovative tech culture that values diversity and collaboration. #J-18808-Ljbffr

Build the infrastructure to serve personal AI models privately and at scale. We're building the first truly private, personal AI - one that learns your skills, judgment, and preferences without big tech ever seeing your data. Our core ML systems challenge: how do we serve the world's best personal model, at low cost and high speed, with bulletproof privacy? What you'll do Build the infrastructure that lets us create & deploy thousands and eventually millions of personalized finetuned models for our customers Monitor & optimize in-the-wild model serving performance to hit low latency & cost Interface with the TEE-based privacy stack that lets us guarantee user data & models can only be seen & used by the user-not even us-and integrate the privacy architecture with the finetuning & inference code You have A deep understanding of the machine learning stack. You can dive into the details of how transformers work & performance optimization techniques for them. You have a mental model of GPUs sufficient to reason about performance from first principles. You can drill down from ML code to metal. Ability to execute quickly. We ship fast and fail fast so we can win faster. The challenge of human relevance in a post-AGI world isn't going to solve itself. A missionary mentality. We're a mission-driven company, looking for mission-first people. If you're passionate about ensuring AI works for people (and not the other way around), you've come to the right place. Ready to roll up your sleeves. We're an early stage startup, so we're looking for someone who can wear many hats. Experience you may have Work at a fast-paced AI startup, or top AI lab Experience deploying ML systems at scale. You might have worked with frameworks like vLLM, S-LoRA, Punica, or LoRAX. Experience with privacy-first infrastructure. You're familiar with confidential computing & ability to reason about both technical and real-world confidentiality and security. You may have worked with secure enclaves, TEEs, code measurement & remote attestation, Nvidia Confidential Computing, Intel TDX or AMD SEV-SNP, or related confidential computing technologies. We encourage speculative applications; we expect many strong candidates will have different experience or unconventional backgrounds. What we offer Generous compensation and early stage equity. We're competitive with the top startups, because we believe the best talent deserves it. World-class expertise. We're based in top AI research hubs in San Francisco and London. We're backed by AI experts like Juniper Ventures, Seldon Lab, and angels at Anthropic and Apollo Research. You'll have access to some of the best AI expertise in the world. Massive impact. Our mission is to keep people in the economy well after AGI. You'll help shift the trajectory of AI development for the better, helping break the intelligence curse and prevent gradual disempowerment to keep humans in control of the future. About Workshop Labs We're building the AI economy for humans. While everyone else tries to automate the world top-down, we believe in augmenting people bottom-up. Our team previously created evals used by Open AI, completed frontier AI research at MIT/Cambridge/Oxford, worked in Stuart Russell's lab, and led product verticals at high growth startups. The essay series The Intelligence Curse has been covered in TIME, The New York Times, and AI 2027. Our vision is for everyone to have a personal AI aligned to their goals and values, helping them stay durably relevant in a post-AGI economy. As a public benefit corporation, we have a fiduciary duty to ensure that as AI becomes more powerful, humans become more empowered, not disempowered or replaced. We're an early stage startup, backed by legendary investors like Brad Burnham and Matt McIlwain, visionary product leaders like Jake Knapp and John Zeratsky, philosopher-builders like Brendan McCord, and top AI safety funds like Juniper Ventures. Our investors were early at Anthropic, Slack, Prime Intellect, DuckDuckGo, and Goodfire. Our advisors have held senior roles at Anthropic, Google DeepMind, and UK AISI. #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Machine Learning Infrastructure Engineer Company Description: Early-stage private AI platform Job Description: Build the core infrastructure to serve thousands, then millions, of private, personalized AI models at scale. This role involves optimizing model serving performance for low latency and cost, and integrating a TEE-based privacy stack to ensure user data and models are exclusively accessible by the user, not even the company. Drive the foundational systems for a new era of personal AI. Location: San Francisco, USA Why this role is remarkable: Pioneer the infrastructure for truly private, personal AI models, ensuring user data remains confidential. Join an early-stage, well-funded startup backed by top-tier VCs and leading AI experts. Make a massive impact on the future of AI, helping to keep humans empowered in a post-AGI world. What you will do: Build infrastructure for deploying thousands to millions of personalized finetuned models. Monitor and optimize in-the-wild model serving performance for low latency and cost. Integrate with a TEE-based privacy stack to guarantee user data and model confidentiality. The ideal candidate: Deep understanding of the machine learning stack, including transformer optimization and GPU performance. Ability to execute quickly in a fast-paced, early-stage startup environment. A missionary mentality, passionate about ensuring AI works for people. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack' Step 3. Login with your LinkedIn profile Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

A leading research lab in Sunnyvale is seeking a distributed ML infrastructure engineer to extend and scale training systems. The ideal candidate must have over 5 years of experience in ML systems with strong expertise in distributed training frameworks like DeepSpeed and FSDP. This role offers a competitive salary ranging from $150,000 to $450,000 annually along with comprehensive benefits and amenities. #J-18808-Ljbffr

A cloud storage technology company in San Francisco is looking for a Distributed Systems Engineer to work across the stack in building innovative storage solutions. You will be oncall for production systems and will design distributed systems to meet customer needs. The ideal candidate has over 3 years of experience in distributed systems, problem solving skills, and is passionate about enhancing customer experiences. Join us in our mission to revolutionize cloud storage with the next generation of applications. #J-18808-Ljbffr

Machine Learning Systems Engineer, Research ToolsAbout Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Research Tools team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems. Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: Have 2+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: Python Implementing LLM finetuning algorithms, such as RLHF Representative projects: Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher Deadline to apply:None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $300,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn aboutour policy for using AI in our application process Create a Job Alert Interested in building your career at Anthropic? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences * How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Are you open to working in-person in one of our offices 25% of the time? * Select... When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select... We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.” Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Additional Information * Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Are you open to relocation for this role? * Select... What is the address from which you plan on working? If you would need to relocate, please type "relocating". Have you ever interviewed at Anthropic before? * Select... Do you have 8 or more years of software engineering experience? * Select... Do you have experience building and maintaining data processing pipelines or infrastructure at scale? * Select... 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A cutting-edge AI startup in San Francisco is seeking a Machine Learning Engineer. In this role, you will build and improve core ML systems that drive custom model training platforms. You will lead projects from data intake to model delivery, creating robust tools and ensuring model performance. The ideal candidate has experience in AI model training with PyTorch, data processing, and creating benchmarks. Offering competitive salaries within a range of $220,000 to $320,000, plus equity and benefits. #J-18808-Ljbffr

A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

To be eligible to enlist in the U.S. Navy, candidates must be between the ages of 18-34 At any given moment, hundreds of complex networked computer systems are operating in tandem to keep ships and submarines operating at their best. The specialized training youll receive in this field will pave the way to careers in IT and network support, computer programming, web development and information security. SOFTWARE ENGINEERING JOBS IN THE NAVY INFORMATION SYSTEMS TECHNICIAN When a network goes down, vital information may be lost, from global satellite data to special intelligence communications. Thats why its critical that trained Information Systems Technicians are on board to make sure networks and related systems are designed and operated properly and errors are fixed without any interruption to the mission. CRYPTOLOGIC TECHNICIAN NETWORKS As a Cryptologic Technician Networks, you fight in the battlespace of the future. Use state-of- the-art technology to perform offensive and defensive cyber operations, investigating and tracking enemies while also protecting our networks from attacks. As an expert in communication defense and forensics, youll be expected to rise to the ever-evolving challenge of maintaining cybersecurity. INTELLIGENCE SPECIALIST Collect intel on everythingdata on foreign cultures, enemy movements, current weather forecasts, etc. Then, use it to create cohesive intelligence briefings for high-ranking Navy officials. Your deep understanding of global culture and battlespaces makes you a critical component of mission readiness. Solid intel isnt easy to come by, but as an IS, you can save lives by helping us stay ready for anything. PAY AND BENEFITS From the day you start, youll receive: Competitive salary Potential to earn a bonus upon enlistment Free health insurance Free housing A retirement plan Paid training College credit EDUCATION OPPORTUNITIES Navy College Program and Tuition Assistance Post-9/11 GI Bill, up to 100% tuition Professional credentials and certifications College credit hours toward a bachelors or associate degree through the American Council on Education QUALIFICATIONS AND REQUIREMENTS U.S. citizen or equivalent High school graduate or equivalent 17 years of age or older General qualifications may vary depending upon whether youre currently serving, whether youve served before or whether youve never served before. WORK ENVIRONMENT These roles perform a variety of duties worldwide, at numerous overseas and stateside shore commands, aboard surface ships, aircraft and submarines. They generally divide time between assignments ashore and afloat. PART-TIME OPPORTUNITIES Serving part-time as a Navy Reserve Sailor, your duties will be carried out during your scheduled drilling and training periods. During monthly drilling, Sailors in the Navy Reserve typically work at a location close to their homes. Take a moment to learn more about the general roles and responsibilities of Navy Reserve Sailors. RequiredPreferredJob Industries Government & Military

Job DescriptionJob Title: Systems Engineer Division: Managed IT Services Branch: Chico Reports to: Managed IT Service Manager The System Engineer is responsible for the maintenance and improvement of our internal IT infrastructure as well as providing technical assistance to team members and end users with system and network requests. The focus is on desktop support and exceptional customer service skills. Essential Duties and Responsibilities: • Exceptional customer service skills under varying conditions • Strong understanding of computer hardware and related Operating Systems. o Ability to build a pc, troubleshoot down to component level and understanding of system imaging • Support services for o Microsoft 365 Administration portal o 365 Services: Office Suite: Word, Excel, Power Point, Outlook, Teams o Firewalls and remote access: SonicWall (preferred), Net Extender o 2FA experience: Duo, Google, Microsoft o Networking: Unifi, Dell, Ruckus • Administration and maintenance of the remote monitoring and management system (RMM): update agent scripts, respond to alerts, monitor dashboard, and periodic system review • Develop and document maintenance routines for all computer systems • General support of WAN and LAN connectivity, routers, firewalls, and security • Document all work performed and time entries in related tickets in ConnectWise Manage PSA • Field Service Support- Troubleshooting and ongoing hardware support. * Regular travel is required • Refresh Projects- Participate in projects where current hardware is replaced to include but not limited to: firewalls, network switches, AP's, workstations, servers etc. Daily Duties and Responsibilities: • Ability to work in a team and communicate effectively • Accept escalations from the helpdesk • Escalate service or project issues that cannot be completed within agreed service levels • Business awareness: and understanding of product management cycles • Document internal processes and procedures related to duties and responsibilities • Responsible for entering time and expenses as they occur • Provide field service when/where necessary in a responsive manner (reliable transportation is required) Knowledge, Skills, and/or Abilities Required: • 5+ years' + experience with desktop and application support • Interpersonal skills: communication skills, active listening, and customer-care • Ability to multi-task and adapt to changes quickly • Understanding of support tools, techniques, and how technology is used to provide IT services • Typing skills to ensure quick and accurate entry of service request details • Self-motivated with the ability to work in a fast-moving environment that is not business vertical specific Nice to have experience (not required) • Prior MSP Experience • Professional IT Certifications • Knowledge/experience of Microsoft related technologies: Windows Server 2016,2019, Exchange, SQL • Virtualization technologies: VMware and Hyper-V • VLANs (understanding, build/implementation) • VoIP technologies/implementations • Google for Business, Azure/AWS (management, setup/implementation

Job Title: Cybersecurity System Engineer Department: MIS Reports To: MIS Director Salary Range: $60,000-$80,000 DOE FLSA STATUS: Exempt Full Time Team Member eligible for Medical, Dental, Vision, & Life insurance Generous Paid Time Off plan - 401K with Match Feather Falls Casino is seeking motivated individuals to join the #1 place to work in our area. Experience the premier place to work in all of Northern California. We encourage growth and learning. With your talent and our training and commitment, you will have great success as part of our team and family. If you are looking for an exceptional working experience, with a vision, commitment and empowerment, you are invited to become a part of California's Best Team. We offer the Best Wages, Benefits and Experience to our Feather Falls Casino and Lodge family. We are California's Best Bet! Summary: Cybersecurity System Engineer About the Role We are seeking a motivated and technically minded Cybersecurity System Engineer to join our growing security team. This is an excellent opportunity for a candidate with foundational knowledge of security principles and network systems who is eager to learn and contribute to a robust security posture. You will primarily assist in the maintenance, monitoring, and basic implementation of our security systems and controls. Key Responsibilities System Monitoring and Triage: Actively monitor security alerts within the SIEM platform, identify false positives, and triage genuine incidents for escalation to senior staff. Endpoint Protection Support: Assist with the daily administration, troubleshooting, and tuning of the Endpoint Detection and Response (EDR) platform. Vulnerability Management: Execute scheduled vulnerability scans and help verify the patching and remediation of identified vulnerabilities across systems. Network Security Maintenance: Support the administration of network security devices, including checking health status, log review, and assisting with rule modifications on firewalls under supervision. Documentation: Maintain accurate and up-to-date documentation for security system configurations, operational procedures, and incident response playbooks. Required Skills and Technology Experience: Candidates should have foundational experience or strong familiarity (via labs or academic projects) with the following specific tools and technologies: Security Tools SIEM (Security Information and Event Management): Experience using or exposure to: Splunk, Microsoft Sentinel (Azure), Elastic (ELK Stack), or IBM QRadar. Ability to search, filter, and analyze logs to detect anomalies. EDR (Endpoint Detection and Response) / AV: Familiarity with market-leading platforms like CrowdStrike Falcon, Microsoft Defender for Endpoint, SentinelOne, or Trellix (McAfee/FireEye). Vulnerability Scanning: Experience running basic scans or analyzing reports from tools like Nessus (Tenable), Qualys, or Rapid7 InsightVM. Network Analysis: Basic skills using Wireshark or similar packet analyzers to inspect network traffic. Infrastructure & OS Firewalls/Networking: Basic knowledge of firewall concepts and vendor platforms (e.g., Palo Alto Networks, Cisco, Fortinet). Understanding of TCP/IP, VLANs, and VPNs. Operating Systems (OS): Hands-on experience with Windows Server (Active Directory) and Linux/Unix (CLI) administration. Scripting: Foundational knowledge of Python or PowerShell for basic automation tasks (e.g., log parsing, system checks). Education & Certifications Bachelor's degree in Computer Science, Information Security, or related field; or equivalent experience. Relevant entry-level certification is highly preferred: CompTIA Security+, CompTIA Network+, or (ISC)² CC. Interviews are in person only, so must be in the local area!!!!! PM20 Candidates for all positions must be at least 21 years of age and be able to pass a background check and drug screen. Applicants must have a California I.D., a Social Security Card, and a Birth Certificate.