Information technology analyst jobs in Novato, CA - 885 jobs

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers 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 $181,100 and $318,400, 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

As a Tech Venturing & Innovation Sr. Analyst you will need to be at the forefront of cutting‑edge technologies. You will need to develop new partnerships across the organization and with external partners to build future capabilities together for PepsiCo's operation. You will drive the startup research, analysis & evaluations and lead the rapid pilot onboarding process. Responsibilities Lead cross‑functionally execution of strategic tech innovation programs across Marketing functions, Digital Commerce, AFH (Away-From-Home), and Strategy & Transformation organizations: Streamline working processes with support functions such as EA (Enterprise Architecture), Info Security, Legal, Finance, etc. Partner with project leaders to create project deliverables Develop briefs for new technical capabilities Evaluate startups or other solutions using data‑based approaches and drive the cross‑functional selection process Lead the rapid pilot onboarding process and own vendor management Lead the startup use case research, analysis & evaluation of solution fit to use case Be the face of PepLabs; act as the “eyes and ears” for the organization to source the best emerging tech solutions Build use case assessment criteria to systematically evaluate which startup's technology & overall solution has potential to solve the use case Assess competencies vs. Use case Engage & coordinate cross functional SMEs input to assessment criteria Provide process and pilot thought partnership to business partners and Senior Executives Maintain an external mindset, including staying on top of consumer, competitive, and macroeconomic / technology trends Lead project management across the team and support governance and reporting Contribute to capability building for the entire PepsiCo Labs function (e.g., Training, Knowledge Management, Process documentation, etc.) Manage and coordinate logistics for sector, functional and Labs program meetings with internal and external participants Compensation and Benefits: The expected compensation range for this position is between $76,400 - $127,850. Location, confirmed job‑related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 8% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Experience/exposure in technology and digital innovation Knowledge of PepsiCo's businesses Experience in Consumer and/or Commercial functional areas a bonus, e.g., Marketing, Insights, Digital Commerce, Sales Proficient in Microsoft Outlook, Word, Excel, and PowerPoint with the ability to learn new tools quickly Strong teamwork, professionalism, and interaction with all management levels Effective communication skills, strong collaboration skills and an impeccable standard of excellence Results‑driven with timely task completion Ability to handle multiple priorities, including the ability to make clear and timely decisions Self‑motivated and goal‑oriented Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity #J-18808-Ljbffr

Machaon Diagnostics is a clinical reference laboratory and contract research organization (CRO) that focuses on diagnosing, treating, and monitoring hemostatic and thrombotic conditions, complement-mediated disorders, and rare genetic diseases. Our mission is to save more lives with lab tests. Originating from a collaboration of four laboratory scientists, the team now includes clinicians, scientists, consultants, and technologists with over 400+ years of collective expertise. We provide esoteric and routine testing services to a broad clientele, including community hospitals, university medical centers, clinics, commercial laboratories, and research facilities, as well as biotechnology, pharmaceutical, and medical device companies. Our primary goal is to deliver high-quality testing with industry-leading speed. Role Description This is a full-time, on-site role located in Berkeley, CA. The IT Associate will Install, maintain and configure hardware and software systems according to company policies. Troubleshoot and repair network, hardware and software components. Perform routine maintenance and inspection of network and server systems. Administer and maintain Google Workspace and other company related software programs as assigned. Manage and maintain server hardware, storage solutions, and network equipment (routers, switches, firewalls). Manage user lifecycle processes, including provisioning, de-provisioning, and access control. Support and secure endpoints across mac OS and Windows environments. Support processes and systems for asset inventory and management for hardware, software, and subscription services Support the onboarding process of new employees to include system setup, adding accounts to the AD infrastructure, and shipping computers and peripherals to employees Support IT projects to completion with direction from the Director of Laboratory Information Systems Supports issuing new computer hardware and the disposition of end-of-life equipment Supports IT requirements through direct employee and guest support for remote and on-site staff Perform other related duties as required and identified in goals set by the Director of Laboratory Information Systems or CEO. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Minimum 3 years of experience in system administration, network administration or related field, ideally within a healthcare or similarly regulated environment. Demonstrated competence with Microsoft 365 / Entra ID (Azure AD), Active Directory, and MDM solutions Familiarity with Google Workspace Strong troubleshooting and problem-solving skills. A+/Network+/Security+ Certification is preferred · Demonstrate a high degree of integrity, enthusiasm, and initiative daily. Constant adherence to HIPAA compliance and patient confidentiality requirements Please send a cover letter and resume to the Human Resources Director ******************************

As a Sr. IT Analyst based in San Francisco, you'll be one of the go-to technical resources for the affiliates we support in our Shared Services team. In this hybrid role, you'll provide hands-on support for a wide range of hardware, software, and cloud services in a Microsoft-centric environment. You'll work closely with experienced staff to document legacy processes, resolve day-to-day IT issues, and proactively identify opportunities to automate and streamline support. Your strong communication skills, initiative, and growth mindset will help ensure a seamless technology experience for our users. This position is responsible for providing technical assistance and support related to the company's IT operations, activities, systems and users across multiple sites. This includes responding to support needs, executing troubleshooting steps, gathering information, isolating problems, escalating issues, monitoring systems availability, managing tickets and meeting SLA's. Candidates should have a mix of technical and customer service skills. These functions are performed in support of the company's users, systems, facilities and data centers. Responsibilities Provide operational and end user support for IT systems and activities, including: Windows AD, Azure, and AWS environments Server deployment, management and monitoring Audio-Visual systems, including Poly equipment and Teams Rooms Telephony systems, including Teams Voice and mobile devices O365 services, including Exchange Online, Intune, SharePoint, Teams User accounts and permissions Printers and copiers Shadow senior team members to extract and document tribal knowledge, focusing on undocumented processes and troubleshooting steps. Identify repetitive support tasks and propose self-service or automation solutions. Provision, deprovision, install, maintain, and support users, applications and devices. Coordinate repair of company devices. Provide technical support, guidance, and training to users. Troubleshoot and diagnose hardware and software problems. Ensure full resolution within a timely manner. Ensure adherence to corporate standards. Monitor and report system performance. Maintain system and training documentation. Perform log review and maintenance. Assist and coordinate with other members of the IT team. Perform other related duties as assigned. This position is primarily located in our San Francisco office, supporting multiple offices, including local and remote users and requires occasional travel to supported sites. General office environment: Ability to sit for long periods of time and to move about an office. Supervisory responsibility: None Qualifications/Required Knowledge, Experience and Skills: Background in O365 applications and services, including Microsoft Office, Teams, Exchange, SharePoint, Intune, Power Apps, etc. Experience with Jira, Adobe and Sage is helpful. Background in end user support & training. Excellent customer service and interpersonal skills, including the ability to communicate technical information, both verbally and written, to a wide range of users. Experience in IT systems and network administration, including specific knowledge of Windows Server and Microsoft Azure. Experience with AWS is helpful. Experience in a broad range of IT systems (hardware, software, printers, firewalls, routers, etc.). Must be self-motivated, and possess the ability to work reliably and responsibly, both independently and in a team environment. Excellent troubleshooting, problem solving, critical thinking and analytical skills. Excellent attention to detail, and good work habits under pressure. Readily adaptable to the changing needs of the business, with ability to manage multiple priorities. Ability to collaborate with multiple parties to solve problems. Ability to prepare reports, conduct investigations, and review documents/logs. Ability to learn and support new and fast-changing technologies. Ability to use sound judgement, identify next steps to be taken, and develop appropriate solutions Educational Qualifications: Bachelor's Degree in relevant field or other relevant professional experience. 5+ years of network administration and helpdesk experience. IT certifications or equivalent experience. Formal education in a business field is preferred. Pay Range: The starting base pay for this position in the San Francisco Bay area is as shown below. The actual base pay is dependent upon a variety of factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. This position is also eligible for a discretionary annual bonus, paid time off, and a benefits package including but not limited to company-sponsored medical, dental, vision, and a generous 401(k) match. $120,000/year - $140,000/year Disclaimer: This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka America, Inc. reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Otsuka America, Inc. is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting *********************.

* Requirements gathering* Data modeling in Dataverse* App design (Canvas and/or Model-driven)* Workflow orchestration with Power Automate* Integrations with Microsoft 365, Azure, and third-party systems* Familiarity with **Azure services** supporting Power Platform (Logic Apps, Azure AD, API Management)* Experience with system integration patterns and iPaaS concepts* Understanding of enterprise application architecture and workflow orchestration* Strong analytical mindset with the ability to decompose complex processes* Excellent documentation and technical writing skills* Proven ability to manage competing priorities across multiple stakeholders* Comfortable working in Agile/Scrum environments* Understanding of **data protection, access control, and security design**, especially in healthcare or HIPAA-regulated environments* Experience implementing role-based access and least-privilege principles within Power Platform* Power Platform certifications (PL-100, PL-200, PL-400, PL-600)* Power Platform community contributions, blogs, or public solutions* Familiarity with process modeling tools (Visio, Lucidchart)- Experience with: * Power BI * Azure DevOps or GitHub for solution management * JavaScript, Power Fx, or REST APIs* **7+ years** in systems analysis, application development, or technical solution delivery* **3+ years of hands-on, production experience with Microsoft Power Platform*** Demonstrated delivery of **multiple Power Automate flows and Power Apps used by real business users*** Proven experience leading automation or low-code initiatives from concept to production* Experience supporting regulated or complex environments (healthcare strongly preferred) A job with benefits that goes above and beyond.From competitive salaries to investment and retirement opportunities, we offer our employees first-rate benefits. Coupled with outstanding health coverage, robust wellness programs, and additional perks, we make a rewarding career even more rewarding. #J-18808-Ljbffr

A dynamic technology firm in San Francisco is seeking a Finance professional to join their team. You will drive financial planning and analysis for a growing Cloud business. The ideal candidate has 5+ years of experience in investment banking or corporate finance and excels in financial modeling. The role includes budgeting, forecasting, and performance analysis, with compensation ranging from $130,000 to $165,000 plus bonuses and stock options. Benefits include health insurance and a 401(k). #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

Senior Technology Site Reliability Engineering Manager page is loaded## Senior Technology Site Reliability Engineering Managerlocations: San Francisco: New York: Santa Monica: Los Angeles: Palo Altotime type: Full timeposted on: Posted Yesterdayjob requisition id: Req 4346Senior Technology Site Reliability Engineering ManagerCooley is seeking a Senior Site Reliability Engineering Manager to join the Infrastructure & Development Operations team The Senior Technology Site Reliability Engineering (“SRE”) Manager is responsible for leading a team of SRE's to ensure the reliability, scalability, and performance of the firm's infrastructure and services. This role works with the DevOps, infrastructure, and development teams, applying engineering principles to operations in order to create scalable and resilient systems. In addition to being technically advanced, the SRE Manager will have high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:**Position responsibilities:*** Define and execute the SRE strategic roadmap aligned with business goal, providing experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure)* Build and mentor a high-performing SRE team, fostering a culture of trust, collaboration, and continuous improvement* Partner with cross-functional leaders in infrastructure, DevOps, and application development to scale reliability practices across the enterprise* Oversee incident response, root cause analysis, and postmortems with a focus on accountability and learning* Establish and enforce Service-level objectives (SLOs), service-level indicators (SLI's), and service-level agreements (SLA's)* Drive proactive monitoring, alerting, observability, and capacity planning* Lead automation initiatives for deployment, scaling, failover, and recovery* Promote observability practices using tools like Prometheus, Grafana, DataDog, or Splunk* Collaborate with development teams to build self-healing, fault-tolerant systems* Champion reliability-first thinking across engineering and operations* Encourage blameless postmortems and a learning-oriented incident culture* Ensure compliance with security, risk, and regulatory requirements* Serve as direct supervisor and mentor to direct reports* Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests* Support business professional development and continued educational opportunities* In collaboration with immediate supervisor and CN HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events* All other duties as assigned or required**Skills and experience****:**Required:* After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications* Ability to work extended and/or weekend hours, as required* Ability to travel, as required* 7+ years' direct applicable experience (e.g., DevOps or Site Reliability Engineering) with 2+ years of exempt/management experience in relevant roles* Experience managing cross-functional projects and SRE planning and programing* Proficiency in Terraform and programming languages such as Python, Go, or Java* Deep expertise in cloud platforms, particularly AWS, and container orchestration* Strong background in distributed systems, performance tuning, and automation* Hands-on experience with configuration management tools such as Puppet, Chef, or SaltPreferred:* Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline* Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow* Experience with IaC deployment of AKS/EKS/GKE architecture* Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake**Competencies****:*** Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with demonstrated experience performing advanced troubleshooting and root cause analysis of complex technical issues* Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines* Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely* Experience working with all levels of business professionals, management, stakeholders, and vendors with demonstrated ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $165,000 - $235,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off (“PTO”) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.Welcome to Cooley. We are counselors, strategists and advocates for today's and tomorrow's leaders of the business economy. We seek to meet the evolving needs of our clients by building a community of professionals of the highest caliber who share our vision and embrace our values.Working at Cooley provides an opportunity to work in an environment of collaboration, challenge and reward. We are all part of one firm dedicated to maintaining a diverse workplace that values and celebrates differences-from the way we relate to and support each other, to the way we work together to meet the needs of our clients. It is the unique abilities and perspectives of every individual at Cooley that creates a rewarding workplace.For Cooley, this means offering all employees the tools, training and mentoring they need to succeed. It enables every individual to balance work and family obligations. It looks beyond the Firm's four walls, fostering community involvement. It includes becoming leaders and contributors in our communities.Our cooperative spirit is the trademark of the Cooley Culture and every employee in every department is instrumental to the success of the Firm. We invite you to take a look at our open positions. #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... Have you worked directly with technical stakeholders (like researchers or data scientists) to understand and implement their infrastructure needs? * Select... Are you proficient in Python and have experience working with cloud platforms (AWS/GCP)? * Select... Have you independently owned and delivered technical projects from conception to production? * Select... Do you require visa sponsorship? * Select... Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select... Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at ***************** . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status 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 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

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.

San Francisco Bay Area, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product-critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross‑functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Silicon. You will join a team that spans data, modeling, evaluation, deployment and collaborate with engineers across ML infrastructure, inference, and framework teams. You will write production‑level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter‑teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/evaluation library such as HuggingFace transformers, lm evaluation harness, Megatron‑LM Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) 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 $181,100 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 professional services firm in San Francisco is seeking a Senior Manager in Digital Assurance to provide assurance services over financial reporting and compliance. The role involves leading large projects, managing IT-related controls, and engaging with clients at a senior level. Ideal candidates have a Bachelor's Degree, CPA or CISA certification, and 7 years of relevant experience. This position offers a competitive salary range and a comprehensive benefits package. #J-18808-Ljbffr

About AngelList We exist to accelerate innovation. We do this by giving more people the opportunity to participate in the venture economy by building the financial infrastructure that makes it possible for more people to invest in world-changing startups. We also build tools for startup founders that help them run their operations, so they can focus on building their company. AngelList is the nexus of venture capital and the startup community. We support over $171B+ assets on our platform, and we've driven capital to over 13,000 startups. 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambitions are even larger - we're innovating on the infrastructure for venture and individual investors and the startups they invest in. Come build with us! About the Role We're looking for an IT Engineer to join our team on a contract basis, reporting directly to our IT Lead. You'll own the execution of critical IT workstreams across AngelList and our subsidiary companies, taking full responsibility for delivery while operating within established systems and priorities. This role is ideal for someone who thrives on autonomy, can run independently after ramping, and takes pride in reliable execution over strategic planning. Responsibilities Own day-to-day IT operations, including employee onboarding, offboarding, and access management across Google Workspace, Rippling, 1Password, and Slack. Troubleshoot and resolve IT issues independently, serving as a reliable resource for employees. Execute on MDM and endpoint management, maintaining security policies and device compliance. Manage SaaS platforms, including license tracking, access reviews, and vendor coordination. Maintain and improve IT documentation, playbooks, and runbooks. Own cross-functional projects as assigned, coordinating with engineering, security, and ops teams. Manage office IT infrastructure and AV equipment as needed. What We're Looking For 3-5+ years of experience in IT operations, systems administration, or similar roles. Hands‑on experience with Google Workspace, Slack, and common SaaS tools. Solid understanding of identity and access management. Strong troubleshooting instincts and a bias toward solving problems without escalation. Reliable and organized - someone who follows through without needing reminders. Clear communicator who can work across teams and explain technical issues simply. Experience in automation and scripting to reduce manual work and improve efficiency. Experience with Rippling, Slack Grid or n8n.io is a plus. If you don't tick every box above, we'd still encourage you to apply. We're building a diverse team whose skills balance and complement one another. Office Location and Expectations AngelList has offices in two hub cities: This role is based in our San Francisco office. You will be expected to come in three times a week, usually Tuesdays, Wednesdays, and Thursdays, with some flexibility for occasional Mondays or Fridays. The role also includes light after‑hours support to set up IT for occasional evening events. If you need to be offline at 5 PM every day, this won't be the right fit. Compensation: $80+ an hour, 40-45 hours a week. Working at AngelList: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape how we work, collaborate, and create impact. If the below resonate, we'd love to have you with us. *Beliefs: ************************** *Values & Leadership Expectations: ************************* AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Role As a distributed systems engineer, you'll work across the stack to solve problems as they come up and help build Archil volumes. You'll have significant influence over the technical and product direction. We'll expect you to be able to: Be oncall for a production system to help our customers if anything goes wrong. Build out never-before-seen capabilities in a storage service Design distributed systems interactions for atomicity and idempotency Deploy infrastructure and generalize infrastructure across different clouds Operate through changing customer requirements with lots of ambiguity Who are you? You have 3+ years of experience building and operating distributed systems (flexible). Ideally, you've worked at a startup before, so you know how chaotic this time can be. You've successfully resolved disagreements at work before, and you understand that the highest priority is helping our customers - not being right. You're comfortable debugging problems that occur as a result of failures in multiple, different systems, using tools like metrics and logs. You've been paged at 3am to solve a complex production issue before. You're knowledgeable about distributed systems: you get how consensus works, you know how to scale systems, and you know what pitfalls in API design to avoid. You're familiar with how to optimize the performance of a system, including a general sense of how much latency different operations take, and what kind of bottlenecks could lead to a reduction in potential throughput. Most of all, you know how computers work from the silicon up. Someone once asked you in an interview “what happens when you go to Google.com”, and there wasn't enough time in the interview to talk about all of the steps. Why join us? By building the highest-performance, simplest storage product in the cloud, we have a great chance of changing how the world builds the next-generation of applications (and with AI, more applications will be written in the next 5 years than ever before). We'd love for your to be a part of our journey. How to join? Show us that you're knowledgeable about the space that we're working in on your application. It's up to you how you do this, but one potential way is by answering one of the following questions: How do you think our system works? What do you think our biggest technical challenge is? What would make our system not work? About Archil Archil is on a mission to change how developers build applications in the cloud, by building the next, default storage platform in the cloud. Over the past 15 years, S3 has become the default way to store inactive data sets in the cloud, but the next-generation of AI and analytics applications need to actively process more data than ever before. We're solving this problem by building the first Volume storage product that's as fast as EBS, infinitely scaleable like S3, and connects to existing data sets in S3 and other repositories. Our customers choose Archil because this architecture radically simplifies how they think about working with their data (every application becomes stateless, no cold-start latencies, and no need to worry about checkpointing or backup). Hacker News agrees. Hunter, the founder, has 10 years of experience building and operating cloud storage, including helping to launch Amazon's EFS product and working on bleeding-edge storage at Netflix. He started the company after working with hundreds of customers across these roles, and identifying a need for a new kind of storage product. We're fully in-person in San Francisco. If you're also someone interested in distributed systems, completely focused on how to make customers successful, and interested in solving really big technical challenges, we'd love for you to join us. #J-18808-Ljbffr

A leading AI research company in New York seeks a Machine Learning Systems Engineer to build cutting-edge systems for training AI models. This role involves developing critical algorithms, improving system performance, and collaborating with a dynamic research team. Ideal candidates have a strong software engineering background and care about the societal impacts of AI technology. The expected salary range is $300,000 - $405,000 USD, with a hybrid work policy requiring 25% in-office presence. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system-a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we've embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn't follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other's growth and success-and take the well‑being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. Machine Learning Systems Engineer Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self‑improving agents-all via an OpenAI‑compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron‑LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher‑lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 - October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC‑0 Licensed) focused on democratizing access to cutting‑edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self‑improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large‑scale language model applications on top of it. You'll operate at the intersection of high-performance computing, distributed systems, and cutting‑edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high‑performance inference engines and optimization techniques. Work on integration between vLLM, Megatron‑LM, and HuggingFace ecosystems. Build tools for seamless model training, fine‑tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self‑improving AI agents. Who You Are Technical Skills Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi‑GPU and multi‑node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron‑LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem. Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi‑head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well‑being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well‑being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO - Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays-where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave - Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events - Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge‑sharing - Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process. Privacy Policy EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here. Equal Opportunity RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. #J-18808-Ljbffr