Information technology analyst jobs in Santa Rosa, CA - 564 jobs

A recruitment firm is looking for a qualified professional with expertise in procurement processes and ERP integrations. Candidates should hold a Bachelor's degree in a related field and possess over 6 years of experience with Coupa PTP/ETP modules. Strong understanding of invoicing and expense management processes is essential, along with excellent communication and stakeholder management skills. Additional experience with automation tools will be advantageous. This is an on-site position offering a dynamic work environment in California. #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

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

Our Story: Short Story is an award winning, technology‑powered retailer dedicated to petite women 5'4" and under. Our mission is to create a seamless shopping experience for millions of petite women so they can dress with effortless confidence. As a fast‑growing startup, we're revolutionizing retail with a data‑driven learning system that leverages customer feedback to create tailored products. We've been recognized by top publications like Forbes, Fortune and are backed by top investors who share our vision of building the world's next great consumer brand. Our Values: We're building a company with intention and purpose. Our culture thrives on data insights, exceptional commitment to fit, and the urgency to move quickly on what matters. ✨ Transform Lives. We're customer‑first. Everything we create exists to give her confidence. ⚡️ Demand Excellence. We deliver only our best work, in Fit and Finish. We obsess about details others overlook. 💪 Embrace Challenges. We see obstacles as opportunities to invent better solutions. 💡 Think Differently. We get a thrill from finding better solutions others haven't seen. The Role: The Senior Manager of Technical Design will lead our growing team of technical designers and drive the development of market‑leading petite fashion. Using data and technology along with craft and talent, this role will innovate our technical design and product creation processes. This role is about setting standards, refining fit and quality metrics, building a team of sterling experts and making our workflows the most efficient they can be. Collaborating closely with different teams and with vendors, this role will shape product strategies that strengthen Short Story's foothold as the market leader of fit and quality in petite fashion. Talent development and transparent communication are integral to leadership, fostering a culture of continuous improvement and collaboration across the organization. Responsibilities: Lead the growing Technical Design team at Story Story, specializing in petite fit expertise. Establish processes to maintain Short Story's industry‑leading position in fit and quality. Educate and coach the Technical Design team to enhance their skills and knowledge. Evaluate and stabilize processes and tools in order to execute product strategies efficiently (from fit blocks and grade rules to WIP and tech pack excellence). Drive innovation in our technical design work, establishing best in class tools and resources to execute against product vision. Streamline development process, ultimately driving speed, bandwidth and accuracy; build processes that are easily scaled. Champion for product excellence in fit and quality; delivering products that delight clients (in fit, style and quality).Hold internal and external partners accountable for excellence across all fit and quality metrics. Partner with vendors to ensure products meet fit goals and quality standards in bulk production. Partner with product development and merchandising to achieve process and performance goals. Foster strong vendor co‑creation partnerships with processes and clear standards that are both client‑centric and efficient. Introduce innovation and leverage supplier expertise to build upon fit and product creation technologies (and tech at source capabilities). Leverage internal data and external data to strengthen the technical design process; combining insights to inform technical decision making. Prioritize talent development. Partner with the Head of Product Development and Sourcing to evolve team structure, ways of working, external partnerships, etc., enabling accelerated growth. Qualifications: BA or BS preferred. 12+ years of experience in technical design and product development within Women's apparel. 8 years of management experience, setting strategies and leading teams. Growth mindset. Petites experience required. Considered to be an expert on the product creation lifecycle, specifically in fit and patternmaking. Passionate about developing your team's knowledge and skillset in fit, patternmaking, quality and overall product knowledge. Process architect and demonstrated success leading teams through times of significant change. Strategic problem solver - situational analysis, scenario planning, weighing risk/reward, AB testing, evaluating. taking action, and open to iteration. You have a strong aptitude for data, metrics, reporting and analysis. Ironclad industry relationships and you value vendor partnerships. Never satisfied with average and are known to look for ways to improve/innovate to maximize team's impact & effectiveness. You can operate comfortably and lead your team through ambiguity and change. Clear and influential communicator with both internal & external partners. Excellent identifier and developer of talent, to ensure your team has the skills and knowledge to meet the needs of an evolving business. You are able to travel (domestically and internationally). This role is onsite in our San Francisco Office full time. Benefits: Flexible Paid Time Off 401k with company match Healthcare, dental and vision benefits Opportunity to work with a dedicated and experienced founding team Opportunity to work at a Y‑Combinator backed startup Catered lunch on Fridays and company events Short Story is committed to providing equal employment opportunity and a work environment free of discrimination and harassment for all employees and applicants. We work diligently to ensure equal opportunity for all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, Veteran status, or other legally protected characteristics. #J-18808-Ljbffr

HRIS & Payroll Systems Optimization Consultant (Part-Time, Non-Benefited) About BPM What does BPM stand for? Innovation, opportunity, community, diversity, inclusivity, flexibility - and so much more. BPM stands for Because People Matter - because at our core, our people drive everything we do and how we do it. We are a forward-thinking, full-service accounting and advisory firm providing modern solutions to businesses across the globe. We focus on comprehensive assurance, tax, and consulting services for our clients, while providing our people and community with the resources to lead meaningful and purposeful lives. While we are one of the largest California-based accounting firms, our flexible work locations and schedules mean we have professionals across the country. Our diverse client base and industries keep our teams intellectually challenged every day and allow us to deliver meaningful impact through our consulting work. Position Overview You're a systems-minded payroll and HR professional who loves getting inside HR and payroll platforms and making them work better. You understand how payroll and HR operations actually run - and you know how to optimize systems like Paycor, Workday, ADP, Paylocity, UKG, or similar platforms so that clients can operate more efficiently, accurately, and confidently. This is a client-facing consulting role focused on: System optimization Configuration and setup Process improvement Client support and training We're looking for someone who understands payroll and HR operations and knows how to translate that knowledge into well-configured, well-functioning systems. Process payroll and also helped implement or configure systems Led HRIS or payroll system transitions Supported Paycor or Workday as a system owner or power user Worked in construction, manufacturing, or other complex payroll environments The ideal candidate has both payroll processing experience and system implementation/configuration experience - but strong experience in either is welcome. Work Arrangement Part-time, non-benefited consulting role Fully remote with occasional video meetings Flexible schedule based on client needs and project work No daily commute - work from wherever you do your best work Why BPM Our people are the heart of our success. We foster a collaborative, supportive consulting environment where professionals can do meaningful work while maintaining balance and flexibility. Our culture is built on trust, respect, and impact - and we're proud to live our motto every day: Because People Matter. What You'll Do Client Consulting & System Optimization Serve as a trusted advisor to clients on HRIS and payroll system optimization Partner directly with clients to understand their payroll and HR workflows and identify opportunities for improvement Configure, optimize, and support HR and payroll platforms such as Paycor, Workday, ADP, Paylocity, UKG, and similar systems Review existing system setups and recommend improvements to increase efficiency, accuracy, and compliance Support system cleanups, reconfigurations, and process redesign Implementation & Configuration Support Assist with new system implementations, upgrades, and transitions Support system setup, configuration, testing, and go-live activities Help clients transition from legacy systems or PEOs into new platforms Validate payroll configurations including earnings, deductions, taxes, and reporting Payroll & HR Operations Support Support payroll processing and validation as needed Troubleshoot payroll and system issues and drive resolution Ensure payroll configurations align with federal, state, and local compliance requirements Support complex payroll environments including multi-state, union, and job-costing (construction experience is a plus) Client Communication & Training Act as a primary point of contact for system-related questions Communicate clearly and confidently with client stakeholders at all levels Deliver system training and documentation to ensure client self-sufficiency Translate technical system functionality into practical business solutions What You'll Bring 5+ years of experience in payroll and HR operations Experience working with HRIS and payroll platforms such as Paycor, Workday, ADP, Paylocity, UKG, Ceridian, or similar Experience with system implementation, configuration, optimization, or transitions Strong understanding of payroll processing, taxes, and compliance Client-facing or consulting experience strongly preferred Construction industry payroll experience is a strong plus Strong communication and relationship-building skills Highly organized with strong attention to detail Comfortable working independently in a consulting environment Ability to manage multiple client projects at once $50 - $65 an hour The salary range provided is intended for candidates in the San Francisco Bay Area who meet the minimum requirements of the position. Candidates who do not reside in the San Francisco Bay Area, do not meet the minimum requirements, or exceed the requirements are encouraged to apply and a recruiter will provide you with a range specific to your location and qualifications. #J-18808-Ljbffr

A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform. This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks. Candidates should have 3+ years of experience, solid software engineering skills, and a passion for solving real-world problems. The position offers competitive compensation and benefits, with a salary range of $176,000 to $220,000 USD in San Francisco. #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

* 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

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

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

About 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 Reinforcement Learning Engineering 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 4+ 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: High performance, large scale distributed systems Large scale LLM training 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: Annual Salary:$315,000-$425,000 USDLogistics 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. #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

Cupertino, 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 Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working 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/eval 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 . #J-18808-Ljbffr

A leading professional services firm in San Francisco is seeking a Senior Manager to join their Digital Assurance and Transparency team. This role involves leading large projects, managing IT-related controls, and ensuring compliance in financial reporting. Candidates should have at least 7 years of experience in IT controls auditing, and be CPA or CISA certified. Applicants will work closely with clients and lead teams to drive innovative solutions while maintaining operational excellence in a dynamic environment. #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

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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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. 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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 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