Information technology consultant jobs in San Rafael, CA - 1,832 jobs

San Francisco Bay Area, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product-critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross‑functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Silicon. You will join a team that spans data, modeling, evaluation, deployment and collaborate with engineers across ML infrastructure, inference, and framework teams. You will write production‑level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter‑teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/evaluation library such as HuggingFace transformers, lm evaluation harness, Megatron‑LM Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

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

Technical Solutions Consultant (SQL and Data) Sunnyvale, CA 94105 - Hybrid (3 days on site) - Contract - 6+ months with possible extension. Pay: $54.00 - $70.00 per hour. Responsibilities Develop and maintain data models and SQL pipelines to assist in the visualization, analysis, and interpretation of business data. Help scale repeatable data solutions by identifying manual data pulls that can be automated via scheduled queries. Provide ongoing support for internal data users by maintaining and debugging complex reports, queries, and dashboards. Help troubleshoot technical data issues (e.g., data discrepancies, latency) by analyzing raw logs and query execution plans, proposing fixes. Consult with users, partners, or decision‑makers to identify data sources, required data elements, and data validation standards. Translate non‑technical business requirements (PRDs) into precise technical specifications for data schemas and views. Perform exploratory data analysis and profiling using relevant tools to ensure high data fidelity. Implement validation checks to ensure accuracy in reporting and analytics. Consult with application engineers and data scientists to understand logging, transactional storage, and data exchange formats. Support collaboration with internal stakeholders to provide technical guidance on data availability and feasibility. Help scale existing solutions by creating documentation for data dictionaries, schema definitions, and “best practice” SQL tutorials for the wider team. Qualifications Strong proficiency in SQL (complex queries, joins, subqueries, CTEs, window functions). Proficiency in Code comprehension (SQL) and debugging. Proficiency in Data pipeline (ETL) maintenance and Data Modeling. Experience with internal data warehousing tech (GoogleSQL, PLX) or BigQuery. Proficiency in System Design. Proficiency in Stakeholder Management. Proficiency in Data Exploration and Statistics. EEO Statement: Equal opportunity employment. Sheer opportunity employment is provided for all applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected status. #J-18808-Ljbffr

A technology management company based in San Francisco is seeking a Technical Consultant to deliver customer solutions and enhance satisfaction. Ideal candidates will have 1-3 years of implementation consulting experience and strong communication skills. The role involves creating deliverables, managing multiple projects, and articulating product value. A competitive salary range of $105-135k is offered, along with opportunities for career growth in a fast-growing venture-backed business. #J-18808-Ljbffr

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

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 in our SF office 3x/wk. 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, exclusive of 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. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. 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

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

A pioneering AI startup in San Francisco is looking for an experienced individual to build infrastructure for deploying personalized AI models. The role demands a strong understanding of machine learning technology and a passion for enabling user-controlled AI solutions. Ideal candidates will thrive in fast-paced environments and contribute to impactful AI development. The company offers competitive compensation, equity, and a significant role in shaping the future of AI. #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

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

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

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

A cutting-edge AI startup in San Francisco is seeking a Machine Learning Engineer. In this role, you will build and improve core ML systems that drive custom model training platforms. You will lead projects from data intake to model delivery, creating robust tools and ensuring model performance. The ideal candidate has experience in AI model training with PyTorch, data processing, and creating benchmarks. Offering competitive salaries within a range of $220,000 to $320,000, plus equity and benefits. #J-18808-Ljbffr

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

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

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

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

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

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