Computer systems administrator jobs in Berkeley, CA - 3,422 jobs

A technology industry leader in California is seeking a Product Definition Engineer to evaluate and optimize pre-production silicon. The successful candidate will work with multi-functional teams, driving new feature initiatives and designing performance-critical product features. Ideal candidates will have significant engineering experience and collaborative skills. The role offers a salary range of 168,000 - 264,500 USD depending on level, alongside equity and benefits. #J-18808-Ljbffr

A leading aquaculture technology company in San Francisco seeks a Machine Learning Engineer to develop and deploy machine learning models and algorithms for fish farming. Candidates should have a BS/MS in a relevant field, with 3+ years of experience in data science, strong coding skills in Python and SQL, and excellent data management abilities. This role offers competitive salaries, an unlimited vacation policy, and mentorship opportunities in a fast-paced environment. #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 The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth. Responsibilities: Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes Institute and design governance workflows to help manage additional capacity request approvals Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis. Tech lead with outside vendors to manage anthropic capacity needs Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure Work closely with TPMs on special efficiency projects and help deliver committed outcomes You may be a good fit if you: 5+ years experience in capacity engineering 5+ years experience in a technical role Intermediate knowledge of various public cloud providers Experience with data modeling for public cloud Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows Experience in scripting and building automation tools Self-disciplined and thrives in fast paced environments Familiarity with cloud compute, storage, network, and services Attention to detail and a passion for correctness Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $320,000 - $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 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 Website LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. 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? 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". (Optional) Personal Preferences How do you pronounce your name? Are you open to working in-person in one of our offices 25% of the time? * Select... 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.) 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... Do you require visa sponsorship? * Select... Additional Information Add a cover letter or anything else you want to share. Publications (e.g. Google Scholar) URL 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. 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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 AI infrastructure company in San Francisco seeks an experienced engineer to build and improve core ML systems for training custom AI models. The role requires 2+ years of experience in training AI models, proficiency in PyTorch, and familiarity with NVIDIA GPUs. Responsibilities include leading projects from data intake through the full training pipeline, building data processing systems, and creating visualization tools. Competitive salary ranging from $220K to $320K plus equity and benefits offered. #J-18808-Ljbffr

A leading tech firm in Palo Alto is seeking a Senior Site Reliability Storage Engineer to design and optimize Kubernetes clusters. The ideal candidate will have expertise in Kubernetes orchestration and distributed systems. Responsibilities include managing system reliability, developing software for cluster provisioning, and enhancing infrastructure performance. Competitive salary range of $180,000 - $440,000 USD and comprehensive benefits are offered. #J-18808-Ljbffr

A robotics and AI company in Palo Alto is seeking a Principal Enterprise IT Engineer responsible for leading IT strategy and architecture across the organization. The ideal candidate will have expert knowledge of Google Workspace and Okta, strong scripting skills, and experience scaling IT systems in high-growth environments. This role offers a competitive salary of $180,000 - $235,000 along with comprehensive health benefits and 401(k) matching. #J-18808-Ljbffr

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

A leading productivity company is seeking a Business Systems Engineer to enhance its systems and integrations. The ideal candidate has 4-6 years of experience, strong Salesforce development expertise, and programming proficiency. This hybrid role involves collaboration with various teams to streamline processes and improve data flow. Competitive compensation in San Francisco is offered, with a salary range of $190,000-$215,000 annually. #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 ******************************

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

Why Harvey At Harvey, we're transforming how legal and professional services operate - not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise‑grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product‑market fit, and world‑class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle - from early thinking to long‑term outcomes. We stay close to our customers - from leadership to engineers - and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview We're seeking a Lead Integration Engineer to define and execute our enterprise integration strategy. You'll serve as the technical owner for our integration platforms, moving us beyond simple automations to robust, scalable data pipelines and custom application workflows. This role is responsible for connecting our core corporate systems, including Salesforce, NetSuite, Workday, and Marketo, to automate impactful business problems and ensure data integrity as we scale. The ideal candidate is a hands‑on engineer who thrives in a building phase. You have deep expertise in modern iPaaS solutions, API design, and data modeling, and you are excited to lead high‑impact projects like automating our Lead‑to‑Cash lifecycle and building reverse ETL pipelines. What You'll Do Own the Integration Platform: Lead the selection, architecture, and implementation of our enterprise iPaaS solutions, guiding the organization's growth into using these tools as we scale the company. Build Critical Data Pipelines: Design and develop complex integrations between key business systems (Salesforce, CPQ, NetSuite, Workday, Marketo) to support automation in Lead‑to‑Cash, Order Management, and Employee Lifecycle processes. Engineer Custom Workflows: Build custom application workflows and reverse ETL pipelines that sync data across our stack, ensuring our GTM, Finance, and other teams have trusted data where they work. Establish Standards: Define and enforce best practices for API integration, error handling, logging, and monitoring to ensure 99.9% reliability of our business‑critical data flows. Partner Cross‑Functionally: Collaborate closely with Finance Systems, GTM Systems, and People Ops stakeholders to translate complex business requirements into scalable technical solutions. Lead & Mentor: Act as a technical lead for the integration domain, mentoring junior engineers and contractor resources as the team expands. What You Have Minimum 5+ years of experience in Integration Engineering, Software Engineering, or Business Systems with a focus on backend integrations. Deep expertise with enterprise iPaaS platforms and a strong understanding of API standards (REST, SOAP, GraphQL, OAuth). Proven experience integrating complex enterprise SaaS and data warehousing applications, specifically Salesforce, NetSuite, Snowflake, and/or Workday. Proficiency in scripting languages (Python, JavaScript) for complex data transformation and automation logic. Strong communication and stakeholder management skills, especially with non‑technical teams. Ability to thrive in a fast‑paced, high‑growth, and global environment. Bonus Points: Background in Reverse ETL concepts and tools. Familiarity with Lead‑to‑Cash or Quote‑to‑Cash business processes. Compensation Range $174,000 - $236,000 USD Please find our CA applicant privacy notice here. #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai. #J-18808-Ljbffr

A pioneering tech company in San Francisco is seeking a Robotics Engineer who excels in system-level debugging and end-to-end feature delivery for autonomous trucks. The successful candidate will develop and validate autonomy features, lead technical deployments, and collaborate across various teams. Requirements include 2+ years of software development experience and strong programming skills in modern languages. A role involving occasional travel to customer sites is also included. #J-18808-Ljbffr

Cellares is seeking a highly motivated, experienced Systems Integration Engineer to work on complex instrumentation systems, including testing and development, to support the automated cell therapy manufacturing operations. This is a multidisciplinary role. This individual will interface with many parts of the company and contribute significantly to developing advanced cell therapy systems. The ideal candidate will have demonstrated experience in biomedical-related instruments and consumables development, integration, and verification activities. As a Systems Integration Engineer, you are expected to readily learn and adapt to Cell Shuttle technologies, take ownership of various tasks, and successfully drive them to completion. In your daily work, you will provide in-depth analysis for system characterization and troubleshooting, and help guide important decisions for continuous improvement projects. Candidates should enjoy working in a fast-paced, mission-driven environment and be prepared to tackle various challenges as the company grows. Responsibilities Technical lead to perform hands‑on system characterization, integration, verification testing, troubleshooting, root‑cause investigation, and continuous improvement of Cellares technology platforms Work closely with the Hardware, Software, Firmware, Process, and Manufacturing teams to perform system characterization, testing, and continuous system improvement Design and execute complex experiments, following scientific principles and statistical approaches, to support the development and characterization of customer processes Author and present quality technical documents, procedures, and reports Produce technical reference documentation and reports, and provide training and assistance for the operations team Interface closely and actively with cross‑functional teams, and self‑motivated to drive given tasks to completion Requirements BS in Engineering, Bioengineering, Physics, or related field with 5+ years of extensive, hands‑on experience in developing analytical instrumentation and biotech automation OR MS or PhD in Engineering, Bioengineering, Physics, or related field with 3+ years of extensive, hands‑on experience in developing analytical instrumentation and biotech automation Extensive hands‑on experience in integration testing and troubleshooting in highly complex instrumentation systems that combine fluidic handling, electronic sensors, gas mixing, and robotics Hands‑on experience with autologous and allogeneic cell therapy manufacturing processes is a plus Experience with scripting languages (MATLAB, Python, JMP, etc.) for modeling, simulation, and data processing Prior experience with ISO regulations, cGMP, QMS, and IEC 61010 standards is preferred Excellent verbal, written, presentation, and interpersonal skills Strong analytical and problem‑solving mindset Self‑awareness, integrity, authenticity, and a growth mindset $90,000 - $210,000 a year Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Free EV Charging, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent. Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life‑saving cell therapies. The company's Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high‑throughput platform that delivers true walk‑away, end‑to‑end automation. Cell Shuttles will be deployed in Cellares' Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand. The company is headquartered in South San Francisco, California with its commercial‑scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world‑class investors and has raised over $355 million in financing. Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process. #J-18808-Ljbffr

A pioneering medical technology firm in San Francisco is seeking an integration engineer to work across teams developing next-gen perfusion, cooling, and rewarming systems. The ideal candidate will have over 3 years of engineering experience, with skills in mechanical design, electrical circuit design, and programming in C++/Python. This role offers a competitive salary between $120,000 and $190,000 annually, depending on qualifications, and presents an exciting opportunity to contribute to revolutionary medical advancements. #J-18808-Ljbffr

A technology company in San Francisco is looking for a candidate to own the end-to-end lifecycle of memory features including fine-tuning models and conducting evaluations. You will work closely with customers to identify pain points and collaborate with engineering to implement solutions. The ideal applicant will have experience in information retrieval, model training, and communication with stakeholders. This role requires strong skills in Python and familiarity with machine learning frameworks like PyTorch. The company offers a dynamic and innovative work environment. #J-18808-Ljbffr

A technology company seeks a Workday Financials Senior Engineer. This contractor role involves optimizing the Workday Financials ecosystem through development and collaboration with finance teams. Responsibilities include leading project delivery, enhancing financial systems, and driving process improvements. Candidates should have strong Workday expertise, analytical skills, and excellent communication abilities, along with a knowledge of finance processes. Competitive salary ranging from $135,800 to $203,600 USD offered. #J-18808-Ljbffr

A cutting-edge CRM startup based in San Francisco seeks a Recruiting Manager to lead the hiring of exceptional engineering talent. You will develop innovative recruitment strategies and enhance the company's employer brand, ensuring a smooth candidate experience from start to finish. Ideal candidates have extensive recruiting experience with a focus on engineering roles and possess a comprehensive understanding of modern software technologies. Join us in building a transformative CRM platform. #J-18808-Ljbffr

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

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. About this role As our Founding Machine Learning Infrastructure Engineer at David AI, you will build and scale the core infrastructure that powers our cutting-edge audio ML products. You'll be leading the development of the systems that enable our researchers and engineers to train, deploy, and evaluate machine learning models efficiently. In this role, you will Design and maintain data pipelines for processing massive audio datasets, ensuring terabytes of data are managed, versioned, and fed into model training efficiently. Develop frameworks for training audio models on compute clusters, managing cloud resources, optimizing GPU utilization, and improving experiment reproducibility. Create robust infrastructure for deploying ML models to production, including APIs, microservices, model serving frameworks, and real-time performance monitoring. Apply software engineering best practices with monitoring, logging, and alerting to guarantee high availability and fault‑tolerant production workloads. Translate research prototypes into production pipelines, working with ML engineers and data teams to support efficient data labeling and preparation. and optimization techniques to enhance infrastructure velocity and reliability. Your background looks like 5+ years of backend engineering with 2+ years ML infrastructure experience. Hands‑on experience scaling cloud infrastructure and large‑scale data processing pipelines for ML model training and evaluation. Proficient with Docker, Kubernetes, and CI/CD pipelines. Proven ML model deployment and lifecycle management in production. Strong system design skills optimizing for scale and performance. Proficient in Python with deep Kubernetes experience. Bonus points if you have Experience with feature stores, experiment tracking (MLflow, Weights and Biases), or custom CI/CD pipelines. Familiarity with large‑scale data ingestion and streaming systems (Spark, Kafka, Airflow). Proven ability to thrive in fast‑moving startup environments. Some technologies we work with Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr