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Join to apply for the Engineering Manager role at Canonical 2 months ago Be among the first 25 applicants Join to apply for the Engineering Manager role at Canonical Get AI-powered advice on this job and more exclusive features. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. This is a general track for first-level engineering management positions at Canonical. We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable, and more secure for deployment and development. We strive to be the provider of 'most software to most companies'. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result. We believe that Engineering Managers should be outstanding developers themselves. They should be completely at home reviewing a patch or a software design spec. They are trusted engineers who understand the importance of a whole-team effort in creating great products and who enjoy seeing colleagues develop. They should contribute code themselves to set the standard for coding, but know that the code they write is far less significant than their ability to shape the whole team's direction, focus, and delivery. We grow management skills and train engineers who are interested in soft skills to be managers. A typical first-level software engineering team is based in a single time zone, such as EMEA or Americas, or APAC, with an Engineering Manager and a Senior Engineer dedicated to a single product, who work as a team to shape the roadmap, technical strategy, code, documentation, and community engagement. They are both capable of coding, and are both leaders comfortable assigning work and maintaining expectations of delivery. They will both be expected to take management training at Canonical so they speak the same language when it comes to team behaviours, habits, routines, norms, and standards, but they focus on different sides of the problem. An Engineering Manager is responsible for line management and career guidance. The ability to develop engineering talent, to represent your team and product from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. We have open manager roles across a wide range of engineering domains, including: • Python and Golang, • C / C++ / Rust, • Data infrastructure, • HTML / CSS / JavaScript / Typescript / React, • Flutter, • Distro packaging and systems, • SAAS and web microservices, • Kernel, • Servers, • Graphics, Browser and Desktop, • Silicon enablement and embedded devices, • Product Security If your domain of expertise isn't listed above, yet you feel it's relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: we have engineering management positions open in every time zone What you'll do • Lead and develop a team of engineers, ranging from graduate to senior, • Work remotely in a single major time zone, sometimes two, • Coach, mentor, and offer career development feedback, • Identify and measure team health indicators, • Implement disciplined engineering processes, • Represent your team and product to stakeholders, partners, and customers, • Develop and evangelise great engineering and organisational practices, • Plan and manage progress on agreed goals and projects, • Be an active part of the leadership team, collaborating with other leaders What we're looking for in you • An exceptional academic track record from both high school and university, • Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path, • Drive and a track record of going above and beyond expectations, • Excellent verbal and written communication skills in English, • A love of developing and growing people and a track record of it, • Experience in leading, coaching, and mentoring software developers, • Organised and able to ensure your team delivers timely, high-quality results, • Well-organised, self-starting, and able to deliver to schedule, • Professional manner of interacting with colleagues, partners, and the community, • You have advanced expertise in your domain, • You are knowledgeable and passionate about software development, • You have solid experience working in an agile development environment, • You have a demonstrated drive for continual learning, • Builds trust, relationships, and confidence, • Result-oriented, with a personal drive to meet commitments, • Ability to travel twice a year, for company events up to two weeks each Additional Skills We Value • Experience in a developer advocacy or community role, • Ops and system administration experience, • Performance engineering and security experience What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. • Distributed work environment with twice-yearly team sprints in person, • Personal learning and development budget of USD 2,000 per year, • Annual compensation review, • Recognition rewards, • Annual holiday leave, • Maternity and paternity leave, • Employee Assistance Programme, • Opportunity to travel to new locations to meet colleagues, • Priority Pass and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. • Mid-Senior level, • Full-time, • Engineering and Information Technology San Mateo, CA $173,600.00-$282,100.00 1 week ago San Francisco, CA $180,000.00-$220,000.00 6 days ago San Francisco, CA $186,300.00-$269,075.00 6 days ago San Francisco, CA $170,000.00-$230,000.00 2 months ago San Francisco, CA $160,000.00-$210,000.00 5 days ago San Francisco, CA $160,000.00-$210,000.00 5 days ago San Francisco, CA $200,000.00-$240,000.00 4 months ago San Francisco, CA $186,300.00-$269,075.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our ___ spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. We’re looking to connect with exceptional Principal AI/ML Engineers who are excited about driving AI strategy, advancing machine learning research, and scaling AI-powered systems at high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed. This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring AI/ML talent. If you have any questions, please direct inquiries to . We’re looking for AI/ML experts who are: Passionate about developing and deploying cutting-edge machine learning and deep learning models Experienced in architecting scalable AI systems and leading technical teams Excited to push the boundaries of AI research and apply it to real-world business challenges * Architect, develop, and optimize machine learning and deep learning models for production systems * Research and apply state-of-the-art AI methodologies, including LLMs, transformers, and reinforcement learning * Lead AI strategy, identifying opportunities for innovation and model optimization * Develop scalable training and inference pipelines for AI-powered applications * Work closely with engineering, data, and product teams to integrate AI/ML into business solutions * Optimize ML models for efficiency, accuracy, and scalability in real-world deployments * Ensure robust MLOps practices, including model monitoring, retraining, and deployment automation * Collaborate on AI/ML research publications, patents, and open-source contributions While each startup has its own hiring criteria, many Principal AI/ML Engineer roles in our network look for: * 8+ years of experience in AI/ML, deep learning, or applied AI * Expertise in Python and ML frameworks (TensorFlow, PyTorch, JAX, Hugging Face Transformers) * Strong background in computer vision, NLP, generative AI, or reinforcement learning * Experience developing scalable AI pipelines, data processing workflows, and distributed training systems * Familiarity with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms (MLflow, TFX, SageMaker) * Deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines * Experience with model quantization, fine-tuning, and optimization for performance * Strong knowledge of cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) * A track record of technical leadership, mentoring, and driving AI innovation * Languages & Frameworks: Python, TensorFlow, PyTorch, JAX, Hugging Face Transformers * MLOps & Data Pipelines: MLflow, Kubeflow, TFX, Apache Spark, Airflow, Ray * Cloud & Deployment: AWS SageMaker, GCP Vertex AI, Azure ML, Kubernetes, Docker * Big Data & Storage: Apache Kafka, Hadoop, BigQuery, Snowflake, Redis, NoSQL databases * Model Optimization: ONNX, TensorRT, pruning, quantization, distillation * Submit your application to join SignalFire’s Talent Ecosystem. * We review applications on an ongoing basis to identify strong candidates. * If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly. * No match yet? We’ll keep your profile on file for future AI/ML roles in our portfolio. #J-18808-Ljbffr

Company Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by the best DefenseTech venture capitalists with over $50M in funding. We recently raised our Series B round and are valued at $300M. TurbineOne is actively deployed by every branch of the Department of Defense to solve their most critical missions. Job Title: Machine Learning Engineer • Reporting to the Machine Learning team lead, • Geographically flexible for home-office, • Designing and developing machine learning systems and infrastructure for training and inference at the edge, • Maintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionality, • Shipping production grade machine learning features to TurbineOne’s Frontline Perception System, • Building and integrating new data models and user interfaces for gathering user data to enable to new ML-based product solutions, • Creating and maintaining reusable functional blocks for machine learning models, such as data loading, inference batching, etc., • Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problems, • Maintain and improve existing TurbineOne machine learning frameworks and libraries, • Developing automation tools for building, testing, packaging and deploying machine learning components and features, • Add/update Vue3 components, GraphQL APIs and database models to gather information from the user, or display model output to the user., • Extract re-usable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability., • Spend time reading and understanding a paper and codebase describing a state-of-the-art solution to a given product problem and integrate the solution into the Frontline Perception System for user testing., • High standard of ethics, grit, integrity and moral character, • 7+ years of full stack work experience, • Ability and confidence to learn what’s required to add functionality to the product, from the ML stack to the front end., • College degree/certifications in Computer Science or similar field, • Deep curiosity about customer problems and technical solutions, • Positive and solution-oriented mindset, • Experience in a production software development environment (version control, automated testing, build tools), • Knowledge of deep learning algorithm development and experience with ML experimentation, • Experience with all or some of TensorFlow, PyTorch and Jax., • Willingness to embrace the Startup Culture of moving fast, being insatiably curious, celebrating often, embracing uncertainty, and having a personal desire to improve other peoples’ lives, • We’re a small, fully remote team and everything is our responsibility., • Our team thrives on autonomy, trust and solid communication., • Everyone on the Team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves., • Must be eligible to obtain a clearance with the U.S. government #J-18808-Ljbffr

About the Company: World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone. Tools for Humanity is looking for a Senior Embedded Systems Engineer to own end to end embedded software development of new concept devices. This role will work closely with Software, Product, UX, and Industrial Design teams to develop functional concepts driving the technological roadmap at Tools for Humanity. Key Responsibilities: * Own the architecture, development, maintenance, and debugging of embedded firmware for concept devices to rapidly de-risk future programs * Support hardware validation, test coverage improvements, and early design decisions for the hardware team. * Design and implement low-level drivers and board support packages (BSPs) for microcontrollers, sensors and SoCs. * Drive hardware/firmware integration and debug issues across electrical and software boundaries. * Participate in design reviews and provide input on embedded system architectures and testability. * Work collaboratively with cross-functional teams on concept integration into product roadmap with a focus on stability, power, and performance. * Evaluate, debug, and validate new hardware designs, leveraging oscilloscopes, logic analyzers, and other lab tools. * Collaborate with cross-functional teams (mechanical, software, product) to optimize system performance. * Author and maintain documentation for firmware architecture, testing procedures, and validation results. * Coordinate with software engineers to validate system-level behavior and address hardware/software integration issues. * Support production system debug as needed. * Mentor junior engineers in development best practices. About You: * Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field. * 7+ years of hands-on experience in firmware development for embedded systems, with a strong understanding of electronics and hardware-software interactions. * Experience developing consumer electronics systems at large scale. * Proficiency in C/C++ for embedded systems, with experience developing for bare-metal, RTOS, or Linux-based systems. * Experience with Zephyr RTOS, Linux kernel internals, and real-time system design. * Familiarity with standard industry tools: oscilloscopes, logic analyzers, JTAG, UART, SPI, I2C, PCIe, etc. * Strong debugging skills in both hardware and software domains, including use of low-level debuggers and trace tools. * Hands-on experience with microcontrollers, SoCs, and custom board bring-up. * Experience developing manufacturing test software, including boundary scan, functional test, and system diagnostics. * Ability to work independently on complex projects and take full ownership of deliverables * Ability to debug complex cross-domain issues (hardware/software) in a fast-paced, iterative development environment. * Committed to rigorous documentation and testing practices * Comfortable working in a start-up or high-velocity team environment, with a proactive, hands-on approach. Nice-to-Haves: * Exposure to secure boot, firmware update pipelines, and embedded cybersecurity. * Background in camera hardware, ISP tuning, or vision sensor integration. * Experience with Rust Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH ranges from $190,000 - $258,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more! By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR #J-18808-Ljbffr

Black Ore is building the leading AI platform for financial services. By combining LLMs, proprietary AI/ML and automation we accelerate core workflows for the industry, allow financial services professionals to be more productive and enable consumers to enhance their personal finance. Our flagship product, Tax Autopilot, combines AI with federal and state tax codes & regulations to simplify the tax preparation and review process for Certified Public Accountants (CPAs) and accounting firms. Founded in 2022, we launched with $60 million in early stage funding from some of the world’s leading investors including a16z, Founders Fund, General Catalyst, Khosla Ventures, Oak HC/FT, Trust Ventures and leading tech founders/angel investors including Jason Gardner (Founder and CEO of Marqeta), Max Levchin (Founder of Paypal and Affirm), Tom Glocer (Former CEO of Thomson Reuters), Gokul Rajaram, and Mark Britto (EVP, CPO, PayPal). Our team has an incredibly ambitious vision to completely transform the way businesses and consumers interact in financial services. We’re looking to hire strong team members to grow the team. Some of the traits we look for are: • Owner Mentality – Desire to take initiative, identify problems and implement solutions, • Mission Driven – Passion for building AI/ML solutions that reimagine how businesses and consumers operate, • Intellectually Curious – Excitement going deep and building detailed understanding of the function, role, customer and problem space We are seeking a skilled and driven Principal Machine Learning Engineer with 12 years of industry experience to join our team. You’ll play a key role in building and deploying machine learning models and AI systems that are reliable, scalable, and impactful. The ideal candidate has experience applying NLP techniques in production environments and thrives in a fast-paced, collaborative setting. • Design and engineer NLP solutions to solve real-world problems within the tax industry and push state of the art LLMs and assistants., • Independently design and implement algorithms, train state of the art large language models (LLM) on large data, and evaluate their performance., • Drive engineering and science that can be applied to Black Ore platform development, • Fine tune models, • Masters degree in Computer Science, Computer Engineering, Artificial Intelligence or relevant technical field, or equivalent practical experience. PhD preferred but not required., • Applied Research experience in one or more of these areas: NLP, NLU, machine learning, deep learning, or related fields., • Direct experience in Summarization, Classification and/or Extraction, • Experience with NER (named-entity recognition), • End to end experience delivering production-ready code, • 3 years of experience with development and implementation of LLM algorithm/systems and model training., • Direct experience in generative AI and LLM’s, and implementing solutions to production, • Experience working with machine learning libraries like Pytorch., • Familiar with scripting languages such as Python and shell scripts., • Direct experience in Prompt Engineering, • Continued interest in LLM trends and the latest in cutting edge models within AI, • Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar, • Strong understanding of ML fundamentals, including supervised/unsupervised learning, model evaluation, feature engineering, and overfitting/underfitting, • Experience working with large datasets and building production-ready data pipelines, • Competitive salary and equity based compensation, • Employer-paid medical, dental and vision insurance, • Ability to define your own success, • Continuous learning and new challenges to master #J-18808-Ljbffr

Join to apply for the Staff Machine Learning Engineer role at Lily AI Join to apply for the Staff Machine Learning Engineer role at Lily AI About Lily AI: Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), the Lily platform enhances customer shopping experiences by analyzing product catalogs and automatically enriching the assortment with the natural language consumers actually use when they search and shop. The platform then distributes the optimized data across a retailer's entire ecosystem from their website to Google Ads and beyond, ultimately delivering upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, increased traffic and higher conversion. Learn more at . About Lily AI: Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), the Lily platform enhances customer shopping experiences by analyzing product catalogs and automatically enriching the assortment with the natural language consumers actually use when they search and shop. The platform then distributes the optimized data across a retailer's entire ecosystem from their website to Google Ads and beyond, ultimately delivering upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, increased traffic and higher conversion. Learn more at . Overview: As a Staff Machine Learning Engineer, you will design and develop scalable platforms and services focused on driving business impact, while raising the bar for technical excellence. You will work with other machine learning scientists, engineers, and product managers to help define the ML roadmap, make key architectural decisions around MLOps and contribute to the overall AI strategy of the company. Your day-to-day will include: • Define, design, and maintain scalable Machine Learning data pipelines, training infrastructure, and inference systems., • Optimize, benchmark, and productionize deep learning models to extract high-value product attributes, that drive revenue up in onsite search and google ads offerings., • Drive cost efficiency and throughput improvements, owning relevant KPIs., • Shape and evolve the technical stack to meet emerging business and technical needs., • Transition research prototypes into robust, production-ready systems., • Deploy, monitor, and continuously improve models in production environments., • Optimize model performance, focusing on memory usage and latency., • Automate workflows by building efficient pipelines and orchestration frameworks., • Develop tools and shared libraries to boost team productivity and accelerate development. What we consider critical for this role: Experience: • 8+ years in building large-scale machine learning solutions and ML Ops practices., • Working with LLM APIs and serving LLMs in-house at scale. Technical Expertise: • Kubernetes, RDBMS, and API-driven development., • Model serving in low-latency, high-throughput use cases, • Observability, data pipeline design, service scaling, and cost optimization. Code Quality: • Strong emphasis on code hygiene, including review, documentation, testing, and CI/CD practices. Programming Skills: • Proficiency in Python and PyTorch., • Extensive experience with the scientific Python ecosystem. Cloud Development: • Proficiency in cloud-native application development. Mindset: • Action-oriented with the ability to articulate complex concepts into thoughtful, actionable iterations. What will set you apart from other candidates: • Proficient in writing high-performance production code in Python, with experience using frameworks like PyTorch., • Excellent communication and interpersonal skills., • Experience with Azure., • Expertise in deep learning-based Computer Vision and NLP models., • Proficiency with tools for managing the ML lifecycle, such as MLFlow and Kubeflow., • Proficiency with real-time serving and optimization tools for deep learning, including TFX, PyTorch JIT, TorchScript, and Seldon., • Master's degree in Computer Science or a related field. Details: Currently, we are hiring from the below US states, Canada and Latin America – (candidates must be currently residing in Canada, Latin America or the following US states or open to relocating): • Alabama, • Arizona, • California, • Colorado, • Connecticut, • Florida, • Georgia, • Illinois, • Indiana, • Massachusetts, • Minnesota, • Nevada, • New Jersey, • New York, • North Carolina, • Oregon, • Pennsylvania, • Rhode Island, • Tennessee, • Texas, • Utah, • Virginia, • Washington Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $140,000 - $220,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and ownership. • Mid-Senior level, • Full-time, • Engineering and Information Technology Get notified about new Machine Learning Engineer jobs in San Francisco, CA. San Francisco, CA $140,000.00-$200,000.00 4 days ago San Francisco, CA $140,000.00-$195,000.00 1 month ago San Francisco, CA $151,000.00-$190,000.00 1 month ago San Francisco, CA $220,000.00-$258,000.00 1 hour ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Job DescriptionJob Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role Crusoe Cloud Network Engineering team is looking for an ambitious, experienced team player to join our Network Operations team. Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High-Performance Compute (HPC) Clusters with GPUs. The ideal individual will be highly motivated, self-directed, and have a desire to work on cutting-edge technologies related to the environment. You must possess excellent analytical and communication skills and be a great team player. As a Staff Network Operations Engineer, you will be part of the Network Engineering team. You will be responsible for the operations for Global Crusoe Cloud Network. You will be responsible for ensuring that the network is up through monitoring, applying various break fixes for outages and will be part of the 24/7 oncall. By joining this team, you will gain marketable network operational experiences in edge, backbone, and HPC-based data center networking at a massive scale. A Day in the Life: * Manage, and optimize Crusoe Energy Cloud's global network, including edge, backbone, data center, and public cloud connectivity. * Collaborate with Network Engineering and cross-functional teams including but not limited to Software Infrastructure, and Product, to drive the innovation and evolution of the Crusoe Energy Cloud network. * Lead operational excellence initiatives—developing monitoring, alerting, and self-healing systems to ensure high network availability. * Perform advanced troubleshooting and root cause analysis for incidents, guiding post-mortem reviews and improvements. * Mentor network engineers and establish best practices for incident response, documentation, and operational readiness. * Will be part of a 24/7 Oncall Support for the Crusoe Network. You Will Thrive In This Role If: * 10+ years of related experience building and operating at scale in a production environment. * In-depth knowledge of network protocols including TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, QoSand MPLS-related technologies like RSVP-TE, LDP, etc. * Good understanding of network monitoring protocols and tools, such as SNMP, IPFIX, Sflow/netflow, and Telemetry. * Experience with tools like Kentik, Arbor, Thousand eyes, Catch point, packet design etc * Familiar with data center network architecture, such as Fat Tree architecture, CLOS, BGP-TE, and peering for edge. * Hands-on experience with major network devices like Mellanox, Cisco, Arista, Juniper, and other mainstream vendors. * Familiar with mainstream commercial switch/router chipsets, such as Broadcom, Barefoot, etc. * Familiarity with technologies like RDMA, Infiniband, and RoCE will be a plus. * In-depth knowledge of public cloud architecture connectivity options to AWS, GCP, Azure, Ali Cloud, OCI, etc. * Good understanding of IPv6 and IPv4-IPv6 coexistence technologies. * Programming/scripting in Python, Ansible, Puppet, Chef, or other will be a plus. * Self-motivated, with good communication and writing skills. * Team player and participate in Crusoe Energy Cloud network global on-call rotation. * Bachelor's in Computer Science, Information Science, Engineering, Mathematics, or a related field, or experience equivalent to a Bachelor's degree based on three or more years of work experience Benefits: * Industry competitive pay * Restricted Stock Units in a fast-growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term * Teladoc * Pet-friendly offices * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * Company paid commuter benefit; $200 per pay period Compensation Range: Compensation will be paid in the range of $181,000 - $219,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to , , , , genetic information, , citizenship, marital status, /, preference/ , , , veteran status, , or any other status protected by law or regulation. #J-18808-Ljbffr

Tanagram's mission is to enable developers to work at the speed of thought. To do that, we're building a tool that captures hard-won lessons buried in codebases, code reviews, incident post-mortems, and Slack chats. We turn those lessons into real-time guardrails that flag or fix risky patterns the moment they reach a pull request — and, eventually, at code generation time — so that engineers can ship faster and avoid disaster. Imagine an ideal staff engineer. They know the entire codebase and how different systems interact. They follow every PR, so they know what changes are being made and how patterns evolve. They've read all the documentation. They keep up-to-date on Slack conversations. Ultimately, they index all that information in their heads, and deliver impact by showing up everywhere and saying the right things at the right time. We're building that, but at scale for entire teams and companies. Tanagram is an extension of every team's best staff engineer, available anywhere and anytime. As an ML Product Engineer, you'll leverage the latest ML tools and techniques to enable product functionality, including: * Analyzing enterprise-scale codebases for implicit dependencies. * Implementing recommendation systems for finding code that's similar to a given pattern. * Extracting patterns from code reviews and documentation. This role is exploratory — we have a good sense of what success looks like, but we don't yet know how to get there. You should have a good intuition for the right tools to use and how to configure, combine, and tweak them to deliver the best results for our users. We’re a small team of generalists and work across multiple domains. We're looking for meticulous, high-agency people who have good judgment around what problems to solve, the skills (or learning ability) to solve it expediently, and an understanding of the appropriate quality bar given the surrounding business context. We will generally work in-person in San Francisco (our office is in Mission Bay), but are open to remote for the right candidate. * Research & apply ML algorithms: clustering techniques, similarity search, entity recognition, etc. * Build knowledge graphs from multiple data sources. * Use reasoning models like Qwen2.5-7B-Instruct to refine queries based on existing knowledge. * Help build with the best tools in an AI stack: LLM-Evals, Guardrails for AI, CodeAct (agents writing code to fulfill goals), memory for agents (like Mem0). * Challenging work on enterprise-scale codebases and datasets. * Top-of-market compensation (and a long runway). * Employee-friendly equity terms (low FMV, early exercise, extended exercise). * Your choice of Macbook Pro + computer/office equipment stipend. * Food stipend/reimbursements on meals. * Health, dental, and vision insurance. * Unlimited PTO. * A relatively un-chaotic working environment (we aren't pivoting every week). * An opportunity to lead and define our company. * Experience working with high-volume data in vector databases. * Experience with ML/NLP techniques on production projects. * Self-direction and output-oriented: you repeatedly, independently seek out the most valuable thing you could be doing, to achieve scalable results, quickly. You do so even when requirements and priorities may be changing rapidly. * Bonus points: * Experience building knowledge graphs and working with graph databases. * If you've previously worked at a startup, or founded one yourself. Depending on the relevance and amount of your experience: * Salary for this position ranges from $160,000 to $200,000 USD * Equity ranges from 0.5% to 1.5%. If we move forward with an offer, you will have a choice between more cash or more equity. #J-18808-Ljbffr

Together AI is a research-driven AI company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. As a Machine Learning/Research Engineer (New Grad), you’ll contribute to cutting-edge AI research and development, working on projects that range from training large-scale models to exploring novel algorithms. You’ll collaborate with researchers and engineers to push the boundaries of machine learning, with a focus on reliability and performance. This role is perfect for recent graduates passionate about AI, eager to blend research exploration with practical engineering. • Implement and optimize machine learning models and algorithms, • Collaborate with researchers to design, run, and analyze experiments using frameworks like PyTorch or TensorFlow., • Build and maintain infrastructure for training and evaluating AI models, • Contribute to research discussions, proposing ideas to advance our understanding of AI systems., • Write clean, well-documented code and participate in code reviews., • Stay updated on the latest advancements in machine learning and AI safety., • Bachelor’s degree (or equivalent) in Computer Science, Machine Learning, Mathematics, or a related field, earned or expected by Summer 2026., • Strong programming skills in Python and familiarity with ML frameworks, • Deep understanding of machine learning concepts (e.g., supervised/unsupervised learning, neural networks, reinforcement learning)., • Experience with data structures, algorithms, and software engineering principles., • Ability to balance research exploration with practical implementation and communicate findings clearly., • Passion for AI research and its societal impact. Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $200,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at ___ Please see our privacy policy at #J-18808-Ljbffr

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most. We are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI R&D team. You’ll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you’ll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients. What You’ll Do • Model research & prototyping – Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding)., • Data preparation & feature engineering – Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders., • Experimentation workflow – Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams., • Productionization – Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling., • Cross-functional collaboration – Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements., • Continuous learning – Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. What We Look For • Education: Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field, • Core expertise:, • Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization)., • Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs)., • Technical stack:, • Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar., • Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks)., • Nice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes)., • Mindset & people skills:, • Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup., • Clear, concise communication—both written and verbal. Notice To Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing . Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer: • Choice of medical, dental, and vision insurance plans for you and your family, • Flexible paid time off, • 10 US observed holidays, and Canadian statutory holidays by province, • A home office stipend, • 401(k) for US-based employees, • Paid parental leave, • Sabbatical program, • A meet-up program to get together in person with colleagues in your area, • Offices in San Francisco and Toronto Please note the above benefits & perks are for full-time employees About EvenUp EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at . EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

As a Site Reliability Engineer (SRE) at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. • 5+ years of professional SRE or related experience, • Bachelor's degree in Computer Science or a related field or equivalent work experience, • Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes, • Proficiency in programming/scripting languages, • Direct experience in monitoring and observability practices, • Advanced knowledge of cloud services, • Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability, • Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users, • Build monitoring systems to ensure the highest quality service for our customers, • Design and implement operational processes (such as deployments and upgrades), • Debug production issues across all services and levels of the stack, • Identify improvements for the product architecture from the reliability, performance and availability perspectives We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at #J-18808-Ljbffr

San Francisco Full time On-site Science & Engineering Existing insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting-edge analytics to provide personalized risk assessments—helping homeowners secure coverage and take proactive steps toward resilience. Homes respond differently to climate catastrophes like wildfire — but until now, we’ve lacked the tools to measure that risk at the individual level. At Stand, we combine deterministic physics models with cutting-edge AI to deeply understand a home’s unique risk environment. This enables broader insurance access, incentivizes proactive mitigation, and helps communities become more resilient. We are looking for a Physics-AI-oriented Machine Learning Engineer who can do some Computer Vision, rather than a Computer Vision-focused MLE that can do some Physics-AI. On the Applied Science team, we build machine learning models that power Stand’s risk analytics and climate resilience platform. We combine AI, embedded physics, and spatial intelligence into scalable tools that directly influence underwriting, pricing, and customer decision-making. As a Machine Learning Engineer, you’ll own projects end-to-end — designing, training, and deploying models that deliver both immediate and long-term business impact. You’ll thrive in a fast-moving startup environment, collaborating across Applied Science and the broader company to turn technical breakthroughs into production-ready solutions. Your focus will be on creating multimodal, physics-aware models that accelerate physical modeling by orders of magnitude, adapt to diverse perils, and leverage the latest methods in the field. If you’re eager to push the boundaries of applied machine learning, contribute to scaling classical simulation methods by 1000x, and help provide insurance for homes in climate-stressed areas—all while creating immense value from the ground up—this position is for you! You’ll partner with other MLEs and drive forward initiatives such as: • Developing flagship physics-informed deep learning models, • Advancing multimodal modeling with data augmentation and sensor fusion, • Applying 3D computer vision for digital twin annotation, • Scaling spatial data analysis into production workflows, • Design, train, and deploy ML models across physics-informed AI, computer vision, and multimodal learning, • Own projects end-to-end, from prototyping through production, with emphasis on reliability and business-ready tooling, • Fine-tune and extend state-of-the-art models to accelerate simulation and digital twin pipelines, • Build scalable ML infrastructure: data pipelines, training methodologies, and evaluation frameworks for real-time risk analytics, • Collaborate cross-functionally to integrate models into user-facing workflows, • Continuously improve model performance through monitoring, retraining, and active learning, • Strong foundation in ML: proven track record of taking models from research to production (training from scratch, fine-tuning advanced architectures, evaluation across diverse datasets), • Hands-on experience combining physics-based modeling (finite element, finite volume, finite difference) with machine learning to accelerate or enhance solvers, • Expertise with computer vision and multimodal architectures (e.g., CNNs, ViTs, spatial attention, GNNs), • Familiarity with modern generative and 3D methods (e.g., diffusion, autoregressive, 3D reconstruction), • Proficiency in ML frameworks (PyTorch/TensorFlow) and production-grade practices (containers, CI/CD, automated testing, shared libraries), • Ability to stay current with emerging methods and proactively apply them to business problems, • Strong cross-disciplinary collaborator who can connect knowledge silos and foster innovation, • Familiarity with Agentic AI frameworks (e.g., LangChain) and their application, • Experience in early-stage startups or high-growth environments requiring rapid iteration, • Knowledge of geospatial/remote sensing ecosystems or multimodal Earth observation pipelines Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, the location where the role is to be performed, internal equity, and alignment with market data. • Comprehensive benefits including above-market Health, Dental, Vision, • Weekly lunch stipend, • Flexible time off At Stand, you’ll be part of a mission-driven team redefining how insurance intersects with climate resilience. This is a unique opportunity to build something transformative—leveraging advanced technology, underwriting expertise, and data-driven insights to create a smarter, more adaptive insurance model. Equal Opportunity Employment Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community. Stand Insurance is committed to providing an inclusive and accessible recruitment process. If you require any accommodations during the application or interview process, please let us know by contacting . We will work with you to ensure you have the support you need to participate fully. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $160K - $210K #J-18808-Ljbffr

Direct message the job poster from YouTube This is a full-time role for a Machine Learning Engineer in YouTube for Level L3/L4. You will get a chance to work on recommendation in YouTube. Please reach out if you are already in the interview process. • Strong foundation in Computer Science and Algorithms, • Proficiency in machine learning, • Excellent problem-solving skills and ability to work collaboratively, • Internship experience is a big plus, • Strong communication skills and ability to work in a team-oriented environment, • Entry level, • Full-time, • Engineering and Information Technology, • Technology, Information and Internet #J-18808-Ljbffr

Site Reliability Engineer II role at Hinge Health is an infrastructure engineering role with a strong sense of ownership over the systems that keep our platform running reliably, securely, and efficiently. From scaling Kubernetes clusters to improving observability with Datadog, we build the tooling and automation that empower product teams to ship with confidence. • Collaborate with engineering teams to automate provisioning and configuration of environments., • Contribute to maintaining and improving containers, logging, monitoring, and alerting systems., • Participate in maintaining system security, compliance, and relevant documentation., • Assist in automating and supporting CI/CD pipelines., • Participate in testing, disaster recovery exercises, and troubleshooting efforts., • Help create and maintain infrastructure-as-code using Terraform and AWS., • Support risk management initiatives by ensuring system reliability and availability., • Engage in regular team meetings, sharing knowledge and learning from peers., • Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field, • 2+ years of relevant experience in SRE, DevOps, or systems administration, • Familiarity with automation tools (e.g., Terraform) and AWS or other cloud providers., • Understanding of basic monitoring/alerting concepts., • Experience with at least one programming or scripting language (e.g., Python, Bash, Ruby, TypeScript, or Go)., • Exposure to healthcare or regulated industries., • Experience with Ruby on Rails or TypeScript-based applications is a plus., • Awareness of compliance frameworks (e.g., SOC2, HIPAA) is helpful but not required., • Familiarity with containerization (e.g., Docker) and CI/CD pipelines., • Interest in cloud security best practices. Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California. • Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live., • Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy. #J-18808-Ljbffr

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. As the manager of the Product Engineering, Applied AI team at Anthropic, you will work with some of the largest Enterprise businesses driving the adoption of frontier AI by developing bespoke LLM solutions for these companies. You’ll leverage your technical skills and consultative sales experience to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. You’ll be responsible for leading & growing the Product Engineer, Applied AI team, establish processes and best practices for your segment’s client engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you’ll help Enterprise companies incorporate leading-edge AI systems into their robust end-to-end systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. • Manage and mentor a team of Applied AI Product Engineers and other technical GTM resources supporting Enterprises providing both technical guidance and career development, • Invest in enablement processes for the product engineering organization: creating onboarding materials & fostering an environment of continuous improvement, • Partner closely with your aligned GTM leadership to understand customer requirements & build GTM strategies to drive increased market share & adoption for the Digital Natives space, • Set goals and reviews for your team, promoting growth and output, • Work with Digital Native businesses on their advanced application of LLMs and provide technical guidance on integration, deployment, and adoption best practices, • Lead and support the team in complex evaluations, problem solving and challenging customer environments, • Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes, • Travel occasionally to customer sites for workshops, implementation support, and building relationships and to Digital Native Enterprises focused user groups & industry events, • Establish a shared vision for creating solutions that enable beneficial and safe AI, • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities, • 5+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, or Solutions Architect, • 3+ years of customer-oriented engineering management role, • Experience building and operating AI-native products, • Have experience working with Digital Native Enterprise Customers, • Have an organizational mindset and enjoy building teams in a relatively unstructured environment, • Have excellent communication, collaboration, and coaching abilities, • Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments, • Strong executive presence and ability to foster deep relationships with our customers, • Have at least a high level familiarity with the architecture and operation of large language models and/or as ML in general, • Make ambiguous problems clear and identify core principles that can translate across scenarios, • Have a passion for making powerful technology safe and societally beneficial, • Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks The expected salary range for this position is: Annual Salary: $320,000 — $320,000 USD 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. 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. 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 are a 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. 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: We think about our policy for using AI in our application process; we do not include links in this sanitized version. #J-18808-Ljbffr

Hover is making the homeowner journey easy, transparent and fun. Starting with the home improvement industry, we’re answering age-old questions like, “What is it going to look like?” and “What is it going to cost?”, by helping homeowners and pros visualize what’s possible with Artificial Intelligence (AI) and interactive 3D property models. Homeowners, contractors, and insurance professionals all use Hover to get fully measured, accurate, and interactive models of any property—in a matter of minutes, and with just a few snaps of a smartphone camera. Join a team that is rooted in challenging the status quo, persistence, and dedicated to serving our employees, customers, and communities. With key investors, including Google Ventures and Menlo Ventures and leading insurance carriers such as Travelers, State Farm, and Nationwide, Hover is committed to changing the world, one home at a time. At Hover, we believe there is strength in diversity and are fostering an inclusive and diverse culture by hiring qualified, talented people from a wide variety of backgrounds. Hover is at a pivotal moment—transforming how homeowners experience and manage their spaces through structured 3D data and GenAI. We’re searching for a Principal Engineer with a product mindset, architectural depth, and a bias for action to lead one of the company’s most ambitious bets: building and scaling a consumer-grade GenAI product from the ground up. This role isn’t about managing a team or tuning an existing machine; it’s about technical vision, rapid experimentation, and laying foundations for something entirely new. You’ll work alongside the CEO, VP of Product, and Engineering Managers as a hands-on technical thought partner, shaping the product, system architecture, and execution roadmap. If you’re energized by 0-1 challenges, cutting-edge GenAI, and building in the open with high strategic visibility, this role is for you. You’ll be embedded in a team of ~15 exceptional engineers across three pods—Visualization, Growth/Funnel, and GenAI Engine. You’ll lead by example as a force multiplier, steering both the technical architecture and product direction, especially where the complexity of 3D, LLMs, and interactive frontends converge. Hover’s GenAI stack sits at the intersection of novel user experiences, machine learning, and platform scale. Your fingerprints will be on everything—from system design to go-to-market impact. • Acting as technical co-founder of our GenAI product—owning system architecture and scaling strategy across the full stack (AI/LLMs, 3D rasterization, real-time APIs, and frontend delivery), • Driving early-stage product discovery and experimentation with Product and Design counterparts, applying an engineering lens to feasibility and iteration speed, • Setting and documenting the technical direction: identifying bets, breaking down ambiguous challenges, and enabling others to execute faster and smarter, • Partnering with cross-functional leaders to continuously refine how we test, ship, and learn—pushing toward faster feedback cycles and sharper product-market fit, • Staying ahead of GenAI advancements, and evolving our technical strategy to incorporate them where they matter most, • 10+ years of engineering experience, with significant time as a Principal/Staff+ IC, • Full-stack engineering expertise, with the ability to tackle challenges across the frontend, backend, and infrastructure layers, • Demonstrated success building zero-to-one products, ideally in GenAI, 3D, consumer software, or highly interactive applications, • Strong understanding of GenAI and large language model behavior—you know how to build around their strengths and limitations and leverage that to create products, • A track record of setting architectural direction, evaluating tradeoffs, and leading engineering strategy across teams, • High fluency collaborating with Product, Design, and GTM to align on customer impact, not just technical excellence, • Self-driven, fast-moving, and comfortable getting hands-on with code, prototypes, and performance bottlenecks, • Experience with 3D data pipelines, visualization frameworks, or WebGL/Three.js, • Depth in machine learning, computer vision, or LLM-based architectures, • Background as a startup founder or Staff+/Principal engineer in high-growth environments, • Experience designing or scaling DTC marketplaces, onboarding flows, or growth systems, • Strong written communicator—able to synthesize complex ideas into crisp technical docs, vision statements, or architectural proposals, • Compensation - Competitive salary and meaningful equity in a fast-growing company, • Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents, • Paid Time Off - Unlimited and flexible vacation policy, • Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave, • Mandatory Self-Care Days - A day set aside each month to allow employees to recharge, • Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance The US base salary range for this full-time position is $268,000 - $306,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-JN1 #LI-Hybrid #J-18808-Ljbffr

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. Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll develop and optimize the systems that transform our base models into the refined Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. • Implement and optimize post-training techniques at scale on frontier models, • Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation, • Develop tools to measure and improve model performance across various dimensions, • Collaborate with research teams to translate emerging techniques into production-ready implementations, • Debug complex issues in training pipelines and model behavior, • Help establish best practices for reliable, reproducible model post-training, • Have strong software engineering skills with experience building complex ML systems, • Are comfortable working with large-scale distributed systems and high-performance computing, • Have experience with training, fine-tuning, or evaluating large language models, • Can balance research exploration with engineering rigor and operational reliability, • Are adept at analyzing and debugging model training processes, • Enjoy collaborating across research and engineering disciplines, • Can navigate ambiguity and make progress in fast-moving research environments, • Have a keen interest in AI safety and responsible deployment, • Experience with LLMs is a significant plus The expected salary range for this position is: Annual Salary:$315,000—$510,000 USD 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. 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. 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

San Francisco, CA; Sunnyvale, CA; Seattle, WA Join the team focused on building intelligent, personalized systems that drive fairness, efficiency, and trust in the DoorDash platform. We own the credits and refunds experience—key components of customer satisfaction and retention—and we’re pioneering new ways to optimize and personalize these decisions at scale using causal inference and optimization. We're seeking a Staff Machine Learning Engineer to lead the development of state-of-the-art ML systems that personalize and optimize credits and refund decisions. This work is critical to balancing cost efficiency with long-term customer retention and experience. In this high-impact role, you will partner with cross-functional leaders to design and deploy causal models and optimization algorithms that influence millions of user experiences every week. • Design and deploy causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behavior, • Develop optimization frameworks that balance customer experience with operational cost, under policy and budget constraints, • Build personalized decision systems that adapt to customer preferences and platform dynamics in real time, • Collaborate with engineering, product, and data science partners to shape the roadmap for trust, service recovery, and consumer experience, • Lead end-to-end model development, including experimentation, deployment, monitoring, and iteration, • M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Economics, Mathematics), • 6+ years of industry experience delivering machine learning systems with clear business impact, especially in personalization, optimization, or causal inference, • Deep expertise in statistical modeling and causal inference (e.g., uplift modeling, treatment effect estimation, synthetic controls, instrumental variables), • Experience designing and deploying optimization algorithms (e.g., multi-objective optimization, bandits, constrained optimization), • Proficiency in Python and ML tooling such as PyTorch, Spark, and MLflow, • A strong product sense and ability to translate business objectives into technical solutions, • Excellent communication skills and a track record of cross-functional leadership, • Hands-on leadership and strong product intuition, • Humility - willing to get into the details and open to feedback, • Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting To learn more about our benefits, visit our careers page here. We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. We strive to prevent other forms of inappropriate behavior from gaining a foothold in our office. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Pursuant to applicable local hiring regulations, we will consider for employment qualified applicants in a manner consistent with those regulations. If you need any accommodations, please inform your recruiting contact upon initial connection. The successful candidates starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employees work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash offers a comprehensive benefits package to all regular employees, including 401(k) with employer matching, parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave, medical/dental/vision, holidays, disability and life insurance, family-forming assistance, and mental health programs. For details, see the careers page. See below for paid time off details for salaried and hourly roles, and base pay ranges: I4 $137,100 - $201,600 USD; I5 $167,800 - $246,800 USD; I6 $203,500 - $299,300 USD. Note: This section has been removed in the refined description to focus on role content and essential information. #J-18808-Ljbffr

Zachary Piper Solutions is seeking a highly skilled and experienced, security cleared, AI / Machine Learning Engineer to support a Federal Engineering team focused on GenAI solutions for the public sector. In this role, you'll help architect and deploy cutting-edge, AI-driven mission systems for government clients. You'll work with high-throughput platforms capable of processing billions of data points, contributing to secure, distributed infrastructures and advanced machine learning pipelines that power real-world impact. This role is over 50% Hybrid, with offices in San Francisco, Washington D.C., and New York City • Take cutting-edge internally and community developed models, and utilize them to solve problems for customers and taskers, • Maintain and improve production models through deep reinforcement learning, architectural upgrades, and hyperparameter tuning, • Collaborate with various teams to identify and prototype ML-driven product enhancements, • Serve as a cross-functional representative to advocate for machine learning techniques across organizations, • Create scalable machine learning infrastructures to optimize and automate ML services, • Be comfortable using new technologies in a fast-paced collaborative environment, • Active U.S. Security clearance (Secret, Top Secret, TS/SCI, can hold FS POLY), • Extensive background with computer vision, deep learning, deep reinforcement learning, and natural language processing in a production environment, • Strong background with algorithms, data structures and object oriented programming, • High level programming in Python, along with experience in TensorFlow or PyTorch, • Experience deploying machine learning models in cloud environments (preferably AWS or GCP), • Experience with generative AI models, agentic systems, and large language models, • Familiar with agentic model design and ML evaluation frameworks, • Degree in Computer Science, Machine Learning, or Artificial Intelligence is a plus, • $170,000 - $230,000+ (dependent on experience) #J-18808-Ljbffr

Job Requisition ID # 25WD90527 Position Overview This role can be remote within the U.S. or Canada, though San Francisco is the preferred location About the Team At GET (Growth Experience Technology), we’re transforming how customers discover, buy, and use Autodesk. Our mission is to build seamless, data-informed digital experiences that are intuitive, personalized, and scalable—empowering both our customers and internal teams. We’re investing in smarter platforms, connected sales and marketing systems, and technologies that unlock deeper customer insights and faster decision-making. The Role We’re looking for a Principal (Staff) Machine Learning Engineer to help shape the future of Autodesk’s B2C eCommerce platform. This role involves full-lifecycle ownership—from ideation and modeling to deployment and optimization. You’ll collaborate across disciplines to develop intelligent systems that personalize user experiences and deliver measurable impact. If you’re passionate about solving ambiguous business problems and building scalable ML systems—even if you don’t meet every qualification—we encourage you to apply. What You’ll Do Guide the design, training, and deployment of ML models for real-time personalization across Autodesk’s eCommerce ecosystem. Collaborate with Product Managers and Experience Designers to define what and how personalization should be implemented. Translate business pain points into scalable ML or analytics solutions. Work closely with the MLOps team to productionize models and ensure real-time inference performance. Develop experimentation frameworks and run A/B tests to measure impact (e.g., CTR, bounce rate, add-to-cart rate). Build models that scale across product categories, including third-party integrations for Autodesk’s evolving marketplace. Promote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics. Mentor and support team members, fostering a collaborative and inclusive environment. Qualifications We recognize that talent comes in many forms. If you meet most of the criteria and are excited about the role, we’d love to hear from you. Preferred Experience Background in Data Science, Statistics, Computer Science, or a related field (we also welcome applicants from non-traditional DS backgrounds) 7+ years of hands-on related experience. We value experience with machine learning infrastructure, model deployment, optimization and with software design, architecture, and product development. Knowledge of data mining, information retrieval, and statistical modeling. Exposure to A/B testing and experimental design. Experience applying statistical and probabilistic methods to solve real-world problems; familiarity with financial modeling is a plus. Ability to connect data insights to business outcomes. Experience in eCommerce, marketing technology, go-to-market systems, or other high-scale data environments (e.g., fintech, social platforms). Bonus Experience (Not Required) Advanced degree preferred but not required. Equivalent industry experience is highly valued. Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices. Experience with personalization systems and real-time inference pipelines. Why Autodesk? Work on high-impact projects that shape the future of digital commerce. Collaborate with a diverse and talented team of engineers, scientists, and product leaders. Enjoy flexible work arrangements and a culture that values innovation, learning, and inclusion. Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr

San Francisco Full time On-site Device Software * $140K – $180K • Offers Equity This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience, and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level. Your recruiter can tell you more about the specific salary range for the location this role is based during the hiring process. SPAN is enabling electrification for all SPAN is a mission-driven company designing, building, and deploying products that electrify the built environment, reduce carbon emissions, and slow the effects of climate change. * Decarbonization is the process to reduce or remove greenhouse gas emissions, especially carbon dioxide, from entering our atmosphere. * Electrification is the process of replacing fossil fuel appliances that run on gas or oil with all-electric upgrades for a cleaner way to power our lives. * Enabling homes and vehicles powered by clean energy * Making electrification upgrades possible * Building more resilient homes with reliable backup * Designing a flexible and distributed electrical grid SPAN’s Device Software team is responsible for all of the software that is physically embodied in our hardware products. Our first product - the SPAN Panel - contains a complex network of microcontrollers and a single board computer that must work together to react quickly to changing conditions with impeccable reliability in order to perform its job. We look for friendly, excellent engineers who enjoy working with their peers to solve complex problems and prioritize trusting that the people we hire are capable of great things when well supported. Engineers work directly with the broader software, product, and hardware teams to ensure the right things get built at the right time. As an engineer on the Device Software team you will define and implement new features directly related to SPAN’s hardware products focusing on the lowest level - the microcontroller. This includes everything from bootloaders on systems without an OS up through applications in C and C++ inside an RTOS. Hardware products are central to SPAN’s business and writing firmware for even our smallest microcontrollers means working on something that directly impacts the user experience. You will own large user-facing features from conception through implementation on future hardware products, working independently to bring them to completion. * Designing an OTA system that encompasses a variety of communication interfaces, processor types, and products, while achieving both secure goals for hardware-backed encryption and verification and high reliability. * Working with system architects to invent a data steaming architecture for a new product family which can satisfy both the needs of the data science team to access high rate and quality data, as well as safety guarantees around consistency and accuracy. * Representing the Device Software team in group settings and evangelizing engineering best practices. Participating in code and design reviews as well as authoring documents which further reinforce these goals, and supporting engineers across the org in hitting them. Required Qualifications We are seeking a Staff Firmware Embedded engineer with: * 7 or more years of experience writing software for a hardware device (on a microcontroller, and/or in Linux, etc) in C++ or C * Strong fundamentals in modern software design with tools like Object-Oriented design, coupled with awareness of concerns like manual memory management * Experience working with standard electrical communication interfaces like UART, I2C, USB, etc * Exceptional interpersonal communication and collaboration skills. Great at building trust and driving decisions to a resolution * Track record of taking ownership over projects and willingness to help others with theirs, from design and code review through to mentorship of new employees Bonus Qualifications We do not expect any engineer to have all skills, but we do want you to be excited to learn and grow. Every Device Software Engineer is free to roam up and down our device software stack, so any combination of the following skills is welcome but not required. * Experience with the STM32 microcontroller family * Experience with functional safety and processes and standards like UL 60730, ISO 26262, IEC 61508, and UL 1998 * Experience writing higher level system or application software such as diagnostic command line tools or the application side of a communication interface * Wireless technologies like WiFi, Bluetooth and Zigbee * Hands-on experience with electronics lab equipment * Clean energy hardware in a multidisciplinary environment. Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges. SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN. The Perks: Competitive compensation + equity grants at a well-funded, venture-backed company Comprehensive benefits: 100% employee premiums for base plans on medical, dental, vision with options for additional coverage. Parental leave up to twenty four (24) weeks depending on eligibility Comfortable, sunny office space located near BART and Caltrain public transit Strong focus on team building and company culture: Employee Resource Groups, monthly social events, SPANcakes recognition breakfast, lunch, and learns Flexible hours and flexible time off Interested in joining our team? Apply today and we’ll be in touch with the next steps! Compensation Range: $140K - $180K #J-18808-Ljbffr

OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Controls Engineer with 10+ years of experience designing and implementing advanced SCADA, EPMS, and BMS control system solutions for mission-critical facilities. The Data Center Engineering team is at the core of this mission—defining infrastructure strategy, driving technical innovation, partnering with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As a member of this team, you will design and deliver next-generation data center infrastructure optimized for AI workloads. You will collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. This role offers the opportunity to shape the future of controls, automation, and monitoring at an unprecedented scale. If you are passionate about building cutting-edge systems that push the boundaries of performance and reliability, we encourage you to apply. • Develop and maintain control system design standards, specifications, templates, and reference models for hyperscale AI data centers., • Design and implement control system architectures for data center infrastructure, including EPMS, SCADA, BMS, PLC, and DDC systems., • Lead software integration for monitoring and control platforms, ensuring reliability, maintainability, and compliance with industry codes and safety standards., • Direct the design, testing, deployment, and ongoing maintenance of control solutions for new facilities., • Manage external vendors, contractors, and consultants to ensure high-quality system delivery and long-term support., • Partner with engineering and operations teams to align control systems with performance, resiliency, and efficiency goals., • Optimize telemetry and monitoring capabilities to accurately capture power and cooling load transients and improve overall system performance., • 10+ years of experience in control system architecture, design, and implementation for large-scale data centers or mission-critical facilities., • Strong knowledge of industry codes, standards, and compliance requirements for mission-critical operations., • Proven expertise in automation and industrial control system protocols (e.g., BACnet, Modbus, OPC, SNMP, LON)., • Hands-on experience with PLC, DCS, SCADA, and HMI systems., • Deep understanding of data center operations, infrastructure systems, and control system integration., • Demonstrated ability to rapidly design, test, and implement reliable control software solutions., • Extensive experience in monitoring and controls for HVAC, power, and mechanical systems., • Successful track record of selecting, managing, and collaborating with external vendors, contractors, and consultants., • Bachelor’s degree in Controls Engineering or a related field; advanced degree or professional certifications preferred., • Master’s degree in Electrical Engineering., • 15+ years of experience in control systems for global, large-scale data center operations., • Expertise in AI-driven automation and predictive analytics for control systems., • Experience with energy-efficient and sustainable control system design practices. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Synapse is a product development consultancy working with the world’s most ambitious companies to envision, create, and launch breakthrough AI-powered intelligent products. Sitting at the intersection of hardware, embedded systems, and AI, we specialize in engineering-led innovation that transforms business and unlocks entirely new market categories. In this role you will play a key role in: • Defining and developing intelligent robotic systems powered by Vision Language Agents (VLAs) that interpret goals, reason across context, and interact with the physical world through sensors, actuators, and digital APIs., • Leading technical architecture for prototypes and MVPs involving embedded AI, vision, audio, and multimodal inputs., • Translating real-world customer problems into scalable product concepts and guiding cross-functional engineering teams to bring those to life., • Collaborating with designers, hardware engineers, and data specialists to align on technical feasibility, user value, and system integration. Master’s or equivalent specialism in Artificial Intelligence, Robotics, or a related technical discipline. PhD a plus. 8 years of experience in AI/ML or intelligent systems development, with at least 1 year integrating LLMs, vision-language models, or multimodal AI into physical products or robotic systems. Demonstrated success leading end-to-end development of AI-powered physical systems in domains such as robotics, industrial automation, logistics, or smart devices. Experience with multimodal human-robot interaction (HRI) and collaborative robotics (cobots) is a strong plus. • Deep expertise in robotics AI, including motion planning, control systems, sensor fusion, and complex physical manipulation in dynamic environments., • Proficiency with robotics frameworks and simulation tools (e.g. Nvidia Omniverse/Isaac Sim, ROS, Gazebo, PyBullet, Unity)., • Strong foundation in computer vision, including object detection, segmentation, tracking, depth estimation, and 3D reconstruction., • Familiarity with vision-language models (VLMs/VLAs) or other multimodal architectures for physical reasoning and task execution., • Practical knowledge of deep learning, reinforcement learning, and probabilistic models applied to robotics., • Hands-on experience with ML/AI toolkits such as PyTorch, TensorFlow, ONNX, OpenCV., • Proven ability to optimize models for deployment on edge hardware (e.g., GPUs, TPUs, microcontrollers)., • Understanding of sensor interfaces and protocols (e.g., mic, camera, pressure), and actuator control., • Awareness of ethical implications and user trust in autonomous or semi-autonomous systems. Understanding of safety-critical systems and relevant standards (e.g., ISO 13849, IEC 61508) is a plus., • Experience with edge-to-cloud architectures and integration of multiple sensory modalities (vision, audio, lidar) is desirable., • Experience leading and mentoring cross-functional teams to deliver robotics or AI-enabled products from prototype to production., • Ability to translate complex ideas into technical strategies and communicate effectively with both technical and non-technical stakeholders., • A track record of influencing or shaping product vision through innovation, experimentation, and systems thinking., • Prior experience in roles combining R&D with client-facing activities., • Lead the change and take initiative, • Find the work-life balance that suites us, • Connect as a global community of 13,000 colleagues worldwide, • Celebrate our diverse perspectives and draw from strength from our differences, • Work internally and with clients to make a difference, • Push boundaries to reimagine what’s possible This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Click the following link for more information on your rights as an Applicant: Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Job: Technology Strategy Organization: INVENT PEOPLE NACP Title: Capgemini Invent / Synapse - Sr. Principal Engineer - Robotics AI Location: CA-San Francisco Requisition ID: 080034 #J-18808-Ljbffr

Job Title: Machine Learning Engineer, Training Infrastructure Position Type: Full time Location: San Francisco, CA, USA Salary Range: $150,000 - $250,000 (USD) Job ID#: 158135 Job Description: We are looking for an ML Engineer with 3+ years of experience in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate has diverse experience managing ML workloads at scale, supporting our 3DVAE and video diffusion models. We encourage you to apply even if you dont meet every requirement — we value curiosity, creativity, and the drive to solve hard problems. • Design, implement, and maintain scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets., • Manage and optimize the performance of computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training., • Ensure that infrastructure can handle the resource-intensive tasks associated with training large generative models., • Monitor system performance and implement improvements to maximize efficiency and utilization, using tools like Airflow for orchestration., • Collaborate across research teams to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment., • Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration., • Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads., • Focus on deployment and scalability to ensure the computational backbone supports the company’s ML efforts., • Values engineering processes and version control (CI/CD)., • Knowledge of containerization technologies like Docker and Kubernetes required for deployments at scale., • Understanding of distributed training techniques and how to scale models across multi-node clusters aligned with video needs. Compensation: The pay offered to a successful candidate will be determined by factors including education, work experience, location, job responsibilities, and certifications. IntelliPro provides a comprehensive benefits package, all subject to eligibility. #J-18808-Ljbffr

Join to apply for the Chief Engineer role at Sonesta International Hotels 3 days ago Be among the first 25 applicants Join to apply for the Chief Engineer role at Sonesta International Hotels Job Description Summary The Chief Engineer (CE) is the onsite leader of building, equipment and grounds condition of the hotel. This position will lead and/or perform maintenance and repairs, and preventative maintenance, to all areas of the hotel. The CE is responsible for maintaining a clean and organized maintenance shop and for the security of the hotel inventory and assets such as tools, supplies, furniture, fixtures, and equipment. The CE’s focus on guest and associate satisfaction, expense control and product quality and will lead to their contribution to the overall goals of the hotel. Job Description Summary The Chief Engineer (CE) is the onsite leader of building, equipment and grounds condition of the hotel. This position will lead and/or perform maintenance and repairs, and preventative maintenance, to all areas of the hotel. The CE is responsible for maintaining a clean and organized maintenance shop and for the security of the hotel inventory and assets such as tools, supplies, furniture, fixtures, and equipment. The CE’s focus on guest and associate satisfaction, expense control and product quality and will lead to their contribution to the overall goals of the hotel. Job Description Principle duties and responsibilities (Essential Functions) include: • Implementing and developing plans to maintain equipment, property, grounds and other assets in a safe and acceptable state of repair., • Supervise and train all engineering staff in accordance with Sonesta's Operating Procedures., • Create and post staff schedules, participate in annual budget for the department and assist with financial and labor forecasting., • Assist with departmental administrative task to include, payroll requirements, execute third party contracts, requesting of estimates., • Manage the preventative maintenance program for all hotel equipment, guest rooms, public spaces and Back of House areas, using Transcendent., • Ensure that room maintenance requests are handled in a prompt and courteous manner using Alice and Transcendent., • Ensure all repairs comply with internal policies and external regulations., • Follow up on all alarms immediately to determine the exact location and cause. Determine emergency status and report findings to Security. Take immediate action as necessary., • Fire Safety Director. Responsible for implementing Hotel the Facility Emergency Plan, staff emergency response training, and regulatory compliance. Must have SFFD Fire Safety Directors Certificate., • Ensure all emergency and life safety equipment and systems are inspected, tested and certified. Maintain records, • Assist in leading the Safety Committee, along with the Director of Human Resources and Director of Security., • Maintenance and repair of full laundry, valet and dry cleaning facility. Coordinate maintenance and repairs with the Director of Housekeeping., • Operate and maintain the key control systems, including Morse Watchmen & Saflok hotel lock system., • Support and participate in all Sonesta programs., • Review all guest and meeting planner comment cards to ensure problems are identified and corrected in a timely manner., • Participate in energy conservation and safety programs., • Assist with the administration of all vendor contracts under the engineering department., • Assist with special projects and renovations., • Monitor and maintain monthly utility readings for billing cycles., • Directs a team responsible for the maintenance of buildings, including renovations, expansions, and improvements., • Contributes to strategic planning, direction, and goal setting for the department or function., • Ability to work and communicate with Senior Leadership., • Ability to anticipate work needs and interact professionally to extend customer service with a professional and pleasant personality., • Ability to perform work without direct supervision and handle multiple projects simultaneously., • Ability to deliver high quality customer service and responds to customer needs., • Ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets., • Display daily professional, courteous, attentive, helpful, and positive attitude towards all guests, fellow employees, and managers., • Ability to work cohesively with co-workers as part of a team to reach common goals., • Responsible for personnel actions including departmental hiring, discipline, and performance management., • Perform other job duties as requested by the General Manager as other job duties maybe assigned as needed., • Understanding of Sonesta’s company and safety policies and maintain compliance with OSHA, ADA and the health department requirements., • Comply with Sonesta Standards and regulations to encourage safe and efficient hotel operations., • Ability to perform work without direct supervision and handle multiple projects simultaneously., • Local 39 Stationary Engineers facility. Qualifications and Skills: A candidate for this position must possess the following applicable knowledge, skills and abilities and be able to demonstrate and provide applicable examples to support his/her competency. • Ability to proactively communicate and work effectively with hotel staff, corporate, and hotel customers., • Excellent interpersonal and customer service skills, including dealing with difficult guests., • Excellent organizational, leadership, and attention to detail skills., • Ability to satisfactorily operate PC Computers, Microsoft Office, related computer software programs, Opera systems and willingness to learn new software systems., • Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists., • Ability to work with minimal supervision and maintain a high level of performance., • Must be able to stand and exert fast-paced mobility for entire shift., • Ability to read and interpret a variety of instructions furnished in written, oral, diagram, or schedule forms such as safety rules, operating procedures, maintenance instructions, and procedure manuals., • Ability to write routine reports, track and report activities., • Must have valid Motor Vehicle Operators License., • Must have CFC license. Education and Experience: • 5 or more years of Engineering and supervisory experiences preferred., • Technical knowledge and practical experience in the following fields, electrical, plumbing, refrigeration, HVAC, controls, steam systems, laundry, locksmith, carpentry, & general construction., • Some IT and Telecom experience. Will support and assist in IT troubleshooting repairs and projects., • Must be familiar with hotel systems and equipment to make repairs within the building/property preferred., • Experience in planning maintenance operations for guestroom, public space, building envelope etc. Work Environment: • Must be able work in a fast-paced environment., • Physical and office work required. Physical Demands: • Ability to reach overhead and below the knees, including bending, twisting, pulling, and stooping. Stand, sit, or walk for an extended period. Ability to move over sloping, uneven, or slippery surfaces. Ability to move up and down ladders, stairs, and service ramps., • Must be able to exert up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently or constantly to lift, carry, push, pull or otherwise move objects., • Ability to stand during entire shift., • Prolonged periods of sitting at a desk and working on a computer. Expected Hours of Work: • Due to the cyclical nature of the hospitality industry, employees may be required to work varying schedules to reflect the business needs of the hotel., • Must be flexible to work various days and various shifts of the week to include weekends, holidays, days, nights and overnight., • Ten to twelve hour shifts are sometimes required., • Regular attendance in conformance with the standards which have been established by the hotel from time to time is essential to the successful performance of this position. Other: • Upon employment, all employees are required to fully comply with the hotel rules and regulations for the safe efficient operation of the hotel facilities. Additional Job Information/Anticipated Pay Range Pay Range: $86.85 per hour. Pay rate outlined follows contract requirement. Benefits Sonesta recognizes that benefits play a vital role in helping ensure the health and financial security of employees and their families. We offer a variety of benefits to our employees including: • Medical, Dental and Vision Insurance, • Health Savings Account with Company Match, • 401(k) Retirement Plan with Company Match, • Paid Vacation and Sick Days, • Sonesta Hotel Discounts, • Educational Assistance, • Paid Parental Leave, • Company Paid Life Insurance, • Company Paid Short Term and Long Term Disability Insurance, • Various Employee Perks and Discounts, • Hospital Indemnity, • Critical Illness Insurance, • Accident Insurance Sonesta is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Upon submitting your application, please ensure you complete a full application in addition to attaching a resume. Incomplete applications received will not be considered. • Director, • Full-time, • Engineering and Information Technology Get notified about new Head Engineer jobs in San Francisco, CA. San Francisco County, CA $180,000.00-$200,000.00 3 weeks ago San Francisco County, CA $181,000.00-$250,000.00 3 weeks ago San Mateo, CA $120,000.00-$180,000.00 2 days ago San Mateo, CA $250,000.00-$400,000.00 1 week ago San Francisco, CA $180,000.00-$300,000.00 5 months ago San Mateo, CA $350,000.00-$500,000.00 2 weeks ago San Francisco, CA $285,000.00-$300,000.00 2 weeks ago San Francisco, CA $275,000.00-$320,000.00 6 days ago San Francisco, CA $308,000.00-$308,000.00 1 month ago San Francisco, CA $214,000.00-$230,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 4 days ago San Francisco, CA $250,000.00-$300,000.00 3 days ago San Francisco, CA $250,000.00-$350,000.00 4 days ago San Francisco, CA $200,000.00-$250,000.00 3 months ago San Francisco, CA $210,000.00-$290,000.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. Team Vision: Our purpose is to safeguard the platform, manage access effectively, build customer trust and ensure compliance. We are focused on critical capabilities upon which feature teams and customers can rely on to deliver efficient, trusted, secure, scalable, easy to consume and manage foundational access and security services. We can achieve this through collaboration across engineering to deliver successfully on these commitments. We are seeking a seasoned and forward-thinking Principal Engineer for our Security and Access Management team. In this pivotal role, you will be at the forefront of securing our innovative platform that supports industry leading security for Agentic AI. You will be responsible for the architecture, design, and implementation of our authentication and authorization services, ensuring they are scalable, secure, and reliable. The ideal candidate will be a subject matter expert in modern identity protocols and will have a proven track record of shaping the future of security standards. You will work together with both the Engineering Manager and Product Manager of the Security and Access Management team, in a three-way partnership to direct the work of the team. • Technical Leadership & Strategy: Lead the technical direction and architecture for the team, making key decisions on technology stacks, and design patterns for identity and access management., • Mentor and guide a talented team of security engineers, fostering a culture of innovation, collaboration, and excellence., • Collaborate with cross-functional teams, including product, engineering, and compliance, to deliver cohesive and secure solutions., • Collaborate with customers to educate, architect and deliver security solutions for Agentic AI workloads., • Authentication & Authorization Expertise: Design, build, and maintain robust, scalable, and secure authentication and authorization services using modern protocols like OAuth 2.0 and OpenID Connect (OIDC)., • Serve as the in-house expert on all aspects of identity, from fundamental concepts to intricate implementation details., • Stay at the cutting edge of security protocols and standards, driving the evolution of our authentication architecture., • Agentic AI Security: Pioneer the security strategy for our Agentic AI platform, addressing unique challenges and threats., • Conduct threat modeling for AI agents and multi-agent systems to identify and mitigate risks such as prompt injection, model exploitation, and data poisoning., • Design and implement security controls for the entire AI model lifecycle, from data ingress to model deployment and inferencing., • Design and implement adversarial testing strategies and solutions for DataRobot’s AI platform., • Standards & Compliance: Actively participate in the security community, with a preference for candidates who have contributed to RFC documents related to authentication, authorization, or security best practices., • Ensure our security practices and services are compliant with relevant industry standards and regulations., • Interface between auditors and engineering teams for acquiring and maintaining security certifications such as FedRAMP, HIPAA, and ISO 27001, • 8+ years of experience in software engineering, with at least 4 years in a security-focused role., • Deep, hands-on expertise with OAuth 2.0 and OIDC, including a thorough understanding of the specifications and various grant types., • Proven experience in designing and building highly scalable, distributed, and fault-tolerant systems., • Strong programming skills in one or more languages such as Go, Python, Java, or Rust., • Excellent leadership and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences., • Experience with maintaining software that is delivered in an on-premise or self-managed environment, • Demonstrable experience authoring, reviewing, or providing significant contributions to IETF RFCs or similar technical standards documents., • Experience in securing AI/ML systems, with a specific focus on the unique security challenges of Agentic AI., • Familiarity with other identity and access management standards such as SAML, SCIM, and WebAuthn., • Experience with cloud-native security and identity services (e.g., AWS IAM, Google Cloud Identity, Azure AD)., • A passion for open-source and a history of contributions to relevant projects., • Wow Our Customers, • Set High Standards, • Be Better Than Yesterday, • Be Rigorous, • Assume Positive Intent, • Have the Tough Conversations, • Be Better Together, • Debate, Decide, Commit, • Deliver Results All applicant data submitted is handled in accordance with our Applicant Privacy Policy. DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn. Thank you for your interest in DataRobot. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We encourage ALL candidates to apply to our jobs, even if you do not check every box. #J-18808-Ljbffr

5 days ago Be among the first 25 applicants ABM, a leading provider of integrated facility solutions, is looking for a Chief Engineer. The Chief Engineer oversees all activities and staff related to the maintenance and repair of mechanical and electrical systems within a property. The goal is maximum life and reliability of all systems. The Chief Engineer must be flexible and willing to perform all duties that are assigned. Those duties may include maintenance and operations of HVAC, mechanical, plumbing and electrical systems. They may also include general building maintenance and building inspections. The Chief Engineer must respond to client requests, open and assign work orders and order parts when necessary. The Chief Engineer must also ensure compliance with expense guidelines, company policy, and governing codes. ABM (NYSE: ABM) is a leading provider of facility solutions with revenues of approximately $6.4 billion and over 130,000 employees in 300 offices deployed throughout the United States and various international locations. ABM’s comprehensive capabilities include electrical & lighting, energy solutions, facilities engineering, HVAC & mechanical, janitorial, landscape & turf, mission critical solutions and parking, provided through stand-alone or integrated solutions. Founded in 1909, ABM provides custom facility solutions in urban, suburban and rural areas to properties of all sizes — from schools and commercial buildings to hospitals, data centers, manufacturing plants and airports. Pay Range is: $88.99/HR The pay listed is the salary range for this position. An offer will vary based on the applicant's education, experience, skills, abilities, geographic location, and alignment with market data. Location: Embarcadero Center, San Francisco, CA Schedule: Mon-Fri Day Shift Benefit Information: This is a union position and as such will include union benefits in accordance with Local 39 CBA. Essential Functions: • Supervise the performance and maintenance of all mechanical, electrical and craft services, ensuring operation within design capabilities and achieving proper environmental conditions prescribed by Building Management, • Oversee and supervise the efficient operation of the facility equipment and systems, • Perform requisite daily communication with Building Management on matters relating to the services performed, • Develop operating instructions and procedures for equipment and systems, • Strive toward a goal of zero down-time in operations by virtue of reliable system performance, • Prepare operating budgets relative to the Engineering Department, • Together with the ABM Engineering Branch Manager, implement and conduct training programs for operating the facility equipment and systems, • Establish and maintain periodic operational testing schedules for critical systems and equipment, • Administer an effective and accountable preventative maintenance system tailored to the facility, • Evaluate all equipment and systems operationally and provide the customer with a list of deficiency items and recommendations for improvement, • Monitor and supervise subcontracted jobs to outside concerns when it is not practical for them to be performed in-house, or as may be requested by Building Management, • Implement and monitor an effective energy conservation and management program to ensure measures are taken to keep operating costs at a minimum, • Possess the requisite licenses and permits required by local laws and ordinances to operate, repair and maintain the facility equipment and systems, • Ensure that the on-site staff conforms to all local laws, codes and regulations, • In conjunction with Building Management, establish a program for the acquisition, storage and accountability of all operating materials, tools and equipment. Establish a customer approved inventory control system, • Develop and maintain a work order system for the control and assignment of all on-call and unscheduled services requested by the customer. This system is to include the work performed, where applied, personnel assignments, time and material estimates, and authorization, • Ensure that work responsibilities are allocated properly among subordinates by developing and implementing manpower schedules and work methods and procedures that are designed to obtain low cost and efficient operation, • Establish performance standards for each phase of work, adhering to standard practices and quality levels, • Carry out policies and procedures of the customer and ABM Engineering Services concerning safety, administrative requirements, standards, practices and work methods, • Perform any additional duties on an as required basis where such duties are within the scope of contractual limitations, • Minimum of five (5) years' experience in the implementation of the above Requirements: • 7-10+ years progressive operations experience preferred. Experience that is commensurate with the specific facility for the position of Chief Engineer., • Prior experience with managing operations at large portfolio of buildings, • Strong knowledge of electrical, UPS and emergency power systems, • Experience in work planning, scheduling and managing a large group of Stationary Engineers., • Highest-level relevant state/local license for Stationary Engineer and/or HVAC, plus universal level refrigerant recovery license, • BOMA accredited courses desirable, • High-rise Fire Safety Director, Haz-Mat Certification, Indoor Air Quality Certification, LEED Certification preferred, • Certification meeting OSHA ACM awareness training requirements as required, • Working knowledge of energy conservation required, formal training preferred, • Strong oral and written communication skills, • Strong employee relation skills, coaching and training skills, • Proficiency with MS Word, Excel, and Outlook, • Computer skills and building automation systems experience required Please note this job description is not designed to cover or contain a comprehensive listing of duties that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. ABM offers a comprehensive benefits package including health insurance (medical, dental and vision), 401(k) plan with immediate vesting, short and long-term disability, PTO, paid holidays and more. ABM values the rich diversity of its workforce. We strive to foster a work environment of respect and engagement that harnesses our workforce’s diversity to our common goal of providing prompt and superior client service. ABM is an EOE/AA (M/F/Vet/Disability/Gender Identity/Sexual Orientation) and is committed to working with and providing reasonable accommodation to individuals with disabilities. If you have a disability and need assistance in completing the employment application, please call 888-328-8606. We will provide you with assistance and make a determination on your request for reasonable accommodation on a case-by-case basis. • ABM does not sell or share your personal information, • We collect basic personal details like your name and address, work history, and other employment related personal information. We also collect Sensitive Personal Information like race/ethnicity because we are required to do so by law, • We collect this information in order to process your employment with us, • We will keep your information for as long as is required by law Prior to the submission of your personal information, please review our Employee Privacy Notice. If you are from California, please review our California Employee Privacy Notice. • Not Applicable, • Full-time, • Engineering and Information Technology San Francisco County, CA $176,000.00-$220,000.00 2 weeks ago San Francisco, CA $214,000.00-$230,000.00 5 hours ago San Francisco, CA $308,000.00-$308,000.00 2 weeks ago San Francisco, CA $200,000.00-$250,000.00 3 months ago San Francisco, CA $180,000.00-$300,000.00 4 months ago San Mateo, CA $350,000.00-$500,000.00 2 weeks ago San Mateo, CA $250,000.00-$400,000.00 1 week ago San Pablo, CA $165,375.00-$289,438.00 5 days ago San Francisco, CA $210,000.00-$290,000.00 1 month ago San Francisco, CA $412,000.00-$577,000.00 4 days ago San Francisco, CA $205,000.00-$260,000.00 2 weeks ago San Francisco, CA $225,000.00-$275,000.00 2 months ago San Francisco, CA $200,000.00-$250,000.00 4 months ago Oakland, CA $195,000.00-$235,000.00 1 month ago San Francisco, CA $200,000.00-$300,000.00 15 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Job Requisition ID # 25WD90525 About the Team At GET (Growth Experience Technology), we’re transforming how customers discover, buy, and use Autodesk. Our mission is to build seamless, data-informed digital experiences that are intuitive, personalized, and scalable—empowering both our customers and internal teams. We’re investing in smarter platforms, connected sales and marketing systems, and technologies that unlock deeper customer insights and faster decision-making. The Role We’re looking for a Principal (Staff) Machine Learning Engineer to help shape the future of Autodesk’s B2C eCommerce platform. This role involves full-lifecycle ownership—from ideation and modeling to deployment and optimization. You’ll collaborate across disciplines to develop intelligent systems that personalize user experiences and deliver measurable impact. If you’re passionate about solving ambiguous business problems and building scalable ML systems—even if you don’t meet every qualification—we encourage you to apply. • Guide the design, training, and deployment of ML models for real-time personalization across Autodesk’s eCommerce ecosystem., • Collaborate with Product Managers and Experience Designers to define what and how personalization should be implemented., • Translate business pain points into scalable ML or analytics solutions., • Work closely with the MLOps team to productionize models and ensure real-time inference performance., • Develop experimentation frameworks and run A/B tests to measure impact (e.g., CTR, bounce rate, add-to-cart rate)., • Build models that scale across product categories, including third-party integrations for Autodesk’s evolving marketplace., • Promote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics., • Background in Data Science, Statistics, Computer Science, or a related field (we also welcome applicants from non-traditional DS backgrounds), • 7+ years of hands-on related experience. We value experience with machine learning infrastructure, model deployment, optimization and with software design, architecture, and product development., • Knowledge of data mining, information retrieval, and statistical modeling., • Exposure to A/B testing and experimental design., • Experience applying statistical and probabilistic methods to solve real-world problems; familiarity with financial modeling is a plus., • Ability to connect data insights to business outcomes., • Experience in eCommerce, marketing technology, go-to-market systems, or other high-scale data environments (e.g., fintech, social platforms)., • Advanced degree preferred but not required. Equivalent industry experience is highly valued., • Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices., • Experience with personalization systems and real-time inference pipelines., • Work on high-impact projects that shape the future of digital commerce., • Collaborate with a diverse and talented team of engineers, scientists, and product leaders. Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr

Sunnyvale, CA; San Francisco, CA; Seattle, WA Emerging Fraud, a specialized pod within the larger fraud organization, is dedicated to safeguarding smaller, growing business lines and strategic investments. Our mission is to integrate robust fraud prevention from the outset of a new business line, enabling secure and sustainable growth. DoorDash is looking for an Engineering Manager to lead the Emerging Fraud engineering team. This team focuses on assessing fraud risks for new business lines, implementing crucial fraud controls, and developing customized fraud solutions for consumers, merchants, and dashers that align seamlessly with the existing DoorDash experience. As an Engineering Manager, you will partner closely with product, design, and operations partners to define the roadmap to build anti-fraud mechanisms with minimal friction. You will manage a team of talented backend engineers to build advanced detection and fraud prevention solutions and solve challenging technical problems. • Lead and grow a team of exceptional backend engineers delivering user-friendly engineering solutions, • Collaborate with Product Managers, Business leaders, and key stakeholders to determine the team's roadmap and vision, and manage execution against that roadmap, • Provide architectural guidance and professional development for a team of 5+, • Encourage innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking, • Oversee the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team, • BS, M.S., or PhD. in Computer Science or related field, • 3+ years of experience in people management leading backend teams, • 8+ years of industry experience, • Extensive experience as an engineer in a fast-paced, product-focused development environment, • Experience with distributed system design, system scaling, and performance optimization, • Hands-on leadership and strong product intuition, • Humility - willing to get into the details and open to feedback, • Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. $193,800 - $285,000 USD At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Were committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination : In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. indicates a required field First Name * Last Name * Email * Phone Country * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... LinkedIn Profile * How much did content from the DoorDash Engineering blog influence your decision to apply for a role at DoorDash? * Select... Are you legally authorized to work in the United States? * Select... 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Join to apply for the Senior Staff Engineer, Offensive Security (REMOTE) role at GEICO This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. $120,000.00/yr - $260,000.00/yr At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. As a Senior Staff Engineer of Offensive Security, you'll be at the forefront of our cybersecurity strategy for penetration testing, advanced attack simulations, and enabling the organization to prevent, detect, and respond to cyber threats. Your role is pivotal in shaping our security posture, collaborating closely with senior leadership to influence risk decisions and ensure regulatory readiness. We seek a hands-on engineer with deep technical expertise in penetration testing, real-world adversary tactics, and risk frameworks, capable of driving measurable improvements in our cyber resilience. Candidates are expected to have hands-on penetration testing experience while leading the team to perform overall offensive security functions including red and purple teaming. The ideal candidate must possess a highly technical skillset and the ability to collaborate with stakeholders across the company to integrate penetration testing and other offensive security functions within company processes. You'll challenge the status quo, identifying opportunities to elevate our security engineering excellence through automation and innovative approaches. Your ability to think big, anticipate and adapt change, and address root causes will be key to delivering greater business value while proactively examining actions and refining approaches. In this high-stakes environment, you'll ensure implementation of industry best practices and execution of offensive security functions while meeting regulatory compliance requirements. This role offers a unique opportunity to expand your influence, forge critical alliances, and lead the evolution of offensive security in a fast-paced environment. Your impact will be felt across the organization as you strengthen our defenses against ever-evolving cyber threats through simulation of real-world cyberattacks and attempts to breach the organization's defenses. Responsibilities • Strategic and tactical leadership for highly effective penetration testing, simulating real-world cyber-attacks (red teaming), and collaborating with defensive security teams (purple teaming)., • Conduct tactical security penetration test assessments to validate the security of company applications (web, mobile, APIs, and AI products) against OWASP Top 10 threats and work with the Application Security team to provide feedback and recommendations to increase automated capabilities., • Design and execute advanced threat emulation scenarios, including physical, social, and digital attack vectors., • Ensure penetration testing activities are meeting security, business, and compliance objectives and outcomes., • Guide the team on risk assessment, prioritization, reporting, and remediation of vulnerabilities through automation., • Collaborate with Blue Teams, Threat Intelligence, and Risk Management to ensure comprehensive attack coverage and feedback loops., • Ensure operations align with industry regulations and compliance standards such as NIST, PCI DSS, and NYDFS., • Champion continuous improvement and innovation in penetration testing, adversary simulation techniques, tools, and methodologies., • Represent the Offensive Security functions in senior leadership and audit discussions as a subject matter expert., • Mastery of vulnerability discovery and exploitation across applications, networks, and cloud using tools (e.g., Burp Suite, Metasploit), and custom scripts (Python, PowerShell)., • Advanced understanding of OWASP, MITRE ATT&CK framework, software development lifecycle (SDLC), threat modeling, red/purple teaming, and attack path development., • Hands-on experience with tools like Cobalt Strike, Mythic, BloodHound, and AutoSploit., • Relevant professional security certifications (e.g. from GIAC or others)., • Proven experience in achieving results efficiently through automation and establishing best practices., • Proven track record to deliver business outcomes for meeting regulatory and compliance obligations., • OSCP, OSCE, CRTO, CISSP, or relevant Red Team/offensive security certs., • GIAC Penetration Testing, Red Team certifications (GCTI, GPEN, GXPN) a plus., • Breadth and depth of knowledge in security of operating systems, networking and protocols, firewalls, databases and middleware applications, forensics, scripting and programming., • Advanced level knowledge of Linux/Mac/Windows operating systems, AWS/Azure cloud environments and cloud-native resources (e.g., Containers, Kubernetes, microservices, serverless functions)., • 10+ years in engineering focused role, preferably in the tech industry., • 8+ years of experience in offensive security (penetration testing, red team, and purple team)., • 5+ years of hands-on experience performing penetration-testing, red teaming, and purple teaming activities., • 4+ years of experience with Azure, AWS, GCP or other cloud providers., • Senior role influencing company direction on security. $120,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being., • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance., • Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Mid-Senior level Full-time Finance and Sales Insurance #J-18808-Ljbffr

$76,500.00/yr - $187,000.00/yr Sr Electrical Engineer - Mission Critical | HED HED is looking to add an experienced team member to our group of talented Electrical Engineers. The candidate should have broad electrical engineer expertise, with a focus on mission critical projects. The role involves providing design and technical systems for large, complex projects from schematics through construction administration. • Responsible for building system concepts and documentation process from schematics through construction administration phases within the discipline., • Coordinate regularly with the Supervisor in project development and performance., • Electrical Engineer shall have proficient knowledge of primary design sectors including:, • Power Distribution, • Lighting and Controls, • Fire Alarm, • Specification writing and editing, • Energy conservation and sustainability/report technical writing, • Function as Project Discipline Team Leader on large, complex projects when assigned., • Direct and oversee project team members within the discipline. Monitor and execute team compliance with project budget (Level 4)., • Prepare and monitor project status reports., • Coordinate with Electrical Engineering Discipline Leader in preparing project Man-hour Estimates., • Prepare and document required code research for project., • Participate in development of the project cost model and design to it., • Develop and maintain Electrical Basis of Design Journal throughout the life of the project., • Conduct material and product research as required for project development., • Attend project meetings as necessary; interface with other Project Discipline Team Leaders., • Respond to client questions/requests within 24 hours., • Document interpretation and submittal reviews during bidding and construction administration., • Monitor and mentor staff to produce quality architectural and engineering services within a project team concept., • Perform other duties as assigned by the supervisor., • Bachelor's degree and licensure required., • LEED Accredited preferred., • Minimum six years' experience in A/E industry preferred., • Extensive knowledge of design from schematic design through project close-out, including design and technical expertise., • Understanding of coordination across design disciplines., • Proficiency in short-circuit and selective coordination calculation. Experience with EDSA, SKM or similar software preferred., • Excellent written/verbal communication and strong organizational skills., • Ability to motivate, mentor staff, and delegate work assignments., • Computer and CADD/BIM literate., • Detail-oriented, self-motivated, enthusiastic and flexible; able to work under deadlines., • Capable of traveling to and from project sites for meetings., • Access to existing and new project sites for observation, investigation and evaluation., • Ability to use equipment for communication and documentation purposes., • Visual acuity to perform responsibilities., • Mid-Senior level, • Full-time, • Engineering and Information Technology, • Architecture and Planning, • Accessible Architecture and Design Sign in to set job alerts for “Electrical Engineer” roles. #J-18808-Ljbffr

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry. We are looking for a Staff Machine Learning Engineer for our Data Science Team. If you are excited by technology that handles hundreds of thousands of transactions per second, collects tens of billions of events each day, and evaluates thousands of data points in real time with millisecond responses, IAS is the place for you. As a Staff Machine Learning Engineer at IAS, you will be part of a team at the center of innovation and a major contributor to our core products. You will oversee a sophisticated suite of data science systems making large-scale business predictions in advertising inventory across open web, social networks, video/CTV, and mobile apps. You will push the boundaries of machine learning applications and deliver best-in-class solutions for our clients. You will manage a group of data scientists and cultivate innovation, developing high-performing talent and producing a lasting impact on the IAS business. IAS values an open and collaborative environment where team members bring their own unique style of thinking and tools to the table. • Build large-scale deep learning infrastructure or platforms for distributed model training, • Build large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc., • Develop deep learning frameworks, • Drive system design for our AI/ML-based services, • Design, develop and support our CI/CD pipeline for AI/ML-based services, • PhD/Master’s degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience, • 7-10+ years of machine learning experience in industry, • Experience with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks, • Experience building large-scale deep learning infrastructure or platforms for distributed model training, • Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA, • Strong programming skills in Python or Go; understanding of data structures, software design principles, and algorithms, • Experience working with machine learning, ranking infrastructures, and system design, • Strong understanding of machine learning approaches and algorithms, • Able to prioritize duties and work well on your own, • Ability to work with both internal and external partners, • Skilled at solving open ambiguous problems Our mission is to be the global benchmark for trust and transparency in digital media quality for the world’s leading brands, publishers, and platforms. We do this through data-driven technologies with actionable real-time signals and insight. Founded in 2009 and headquartered in New York, IAS works with thousands of top advertisers and premium publishers worldwide. For more information, visit integralads.com. Equal Opportunity Employer: IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. California Applicant Pre-Collection Notice: We collect personal information from you in connection with your application for employment or engagement with IAS, including identifiers, personal records, commercial information, professional or employment information, non-public education records, and inferences drawn from your information. We collect your information for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact . To learn more about us, please visit integralads.com. Attention agency/3rd party recruiters: IAS does not accept unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please email . We will respond if there is interest in a partnership. #J-18808-Ljbffr

Join to apply for the Sr. Product Engineer role at Imbue Join to apply for the Sr. Product Engineer role at Imbue This range is provided by Imbue. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. $170,000.00/yr - $350,000.00/yr Direct message the job poster from Imbue Summary In this role, you’ll have the unique opportunity to shape our product and help build 0-1 — not just the technologies that we use, but the overall direction of our product as it evolves. You will be responsible for building across our entire stack, understanding customer needs, and contributing to our product roadmap. This role is a particularly good fit for anyone who either has previously been, or would like to be, a founder of a software product company. We are looking primarily for good product intuition and judgment — someone who understands what actually matters and then makes that happen. Example projects • Conduct user interviews and ask insightful questions while shadowing current or potential users, • Implement rough prototypes for potential product ideas or iterations, • Collect, parse, and ideate on feedback generated from both internal and external users, • Quickly assemble code abstractions to enable fast iteration, and exercise judgment to delete code that doesn’t contribute as strongly to product fit, • Ship backend and frontend code against various interfaces (web, CLI, IDE, etc.), • Collaborate with our product design team to transform promising ideas into new product features You are • A builder at heart, • Motivated by solving real problems for real customers, • Energized by understanding and talking to users, • Someone that loves to sweat the details, • Able to navigate ambiguity and work independently without explicit directions, • Either experienced or interested in being a founder of a software product company, • Experienced with React/Typescript and Python Compensation And Benefits • Competitive compensation and benefits, • Lunch provided daily, • $250 lifestyle stipend per month, • Generous budget for self-improvement: coaching, courses, conferences, etc, • Actively co-create and participate in a positive, intentional team culture, • Frequent team events, dinners, off-sites, and hanging out, • Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The salary range for this role is $170,000–$350,000 How to apply: All submissions are reiewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas. We try to reply either way within a week or two at most (usually much sooner). Learn more about our full interview process here. About Us Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents. We aim to rekindle the dream of the computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love. • Not Applicable, • Full-time Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified about new Senior Product Engineer jobs in San Francisco, CA. San Francisco, CA $95,000.00-$230,000.00 5 months ago San Francisco, CA $300,000.00-$415,000.00 2 weeks ago San Francisco, CA $220,000.00-$250,000.00 2 weeks ago San Francisco, CA $214,500.00-$321,800.00 2 weeks ago Oakland, CA $241,000.00-$305,000.00 4 days ago San Francisco, CA $240,000.00-$339,900.00 2 weeks ago San Francisco, CA $160,000.00-$200,000.00 3 hours ago San Mateo, CA $138,000.00-$245,000.00 3 hours ago San Francisco, CA $145,000.00-$225,000.00 2 months ago San Francisco, CA $170,000.00-$210,000.00 3 days ago Oakland, CA $211,200.00-$264,000.00 5 days ago Alameda, CA $128,000.00-$256,000.00 2 hours ago San Mateo, CA $127,500.00-$185,000.00 2 weeks ago San Francisco, CA $160,000.00-$210,000.00 2 weeks ago San Francisco, CA $156,000.00-$211,000.00 4 days ago Redwood City, CA $200,000.00-$220,000.00 3 weeks ago San Francisco, CA $180,000.00-$220,000.00 5 days ago San Mateo, CA $50.00-$60.00 38 minutes ago San Francisco, CA $104,000.00-$146,000.00 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Commissioning Engineer with 10+ years of experience commissioning mission-critical power and cooling systems. In this role, you will be responsible for ensuring that all critical systems in OpenAI’s hyperscale data centers are rigorously tested, validated, and transitioned to operations at the highest standards of quality, safety, and performance, fully aligned with design intent. The Data Center Engineering team is at the core of this mission, defining infrastructure strategy, driving technical innovation, collaborating with research to establish performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As part of this team, you will lead the commissioning and delivery of next-generation data center infrastructure optimized for AI workloads. You will partner closely with stakeholders across research, site selection, design, construction, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. • Lead OpenAI’s data center commissioning strategy in partnership with engineering and construction teams., • Develop and enforce commissioning standards, test scripts, and quality assurance protocols to ensure consistent, predictable delivery., • Drive resolution of design and field issues during commissioning to achieve operational readiness targets., • Collaborate with design engineers, construction teams, and vendors to capture lessons learned and apply them to future projects., • Support accelerated commissioning schedules while upholding the highest standards of safety and reliability., • Provide technical expertise during integrated systems testing and oversee the transition to steady-state operations., • Produce and manage detailed commissioning reports, including performance metrics, issue tracking, and resolution status., • Bachelor’s degree in Electrical Engineering or related field., • 7+ years of experience in commissioning or operating large-scale, mission-critical electrical systems (hyperscale, AI, or cloud data centers preferred)., • Strong technical expertise in electrical distribution, emergency power, and load management., • Proven ability to manage commissioning activities from planning through operational turnover., • Experience interpreting electrical schematics, specifications, and QA/QC documentation., • Willingness to travel frequently to global project sites., • Professional Engineer (PE) license or equivalent., • Familiarity with advanced testing methodologies, load bank testing, and integrated systems testing for high-density AI workloads., • Strong communication skills for cross-functional coordination and vendor management. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Join to apply for the Engineering Manager, Acquisition and Onboarding role at Google Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA. Minimum qualifications: • Bachelor's degree or equivalent practical experience., • 8 years of experience in software development., • 5 years of experience with design and architecture and testing/launching software products., • 3 years of experience in a technical leadership role., • 2 years of experience in a people management or team leadership role., • Master’s degree or PhD in Engineering, Computer Science, or a related technical field., • 8 years of experience with data structures/algorithms., • 5 years of experience in a technical leadership role leading project teams and setting technical direction. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. As a part of the Workspace Monetization - Core Acquisition team, we own the self-serve signup and setup funnels for Workspace, a major business driver for all of Workspace and Cloud. We rapidly build, A/B test, and launch new features cross-functionally. AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Responsibilities • Build an effective and engaged team that feels supported by leadership and connected with each other., • Partner with Product Manager, UX Design, UX Research, and Program Managers to plan, prioritize, and implement projects that drive measurable business growth for Workspace and Cloud., • Develop a culture of engineering and data practices to enable swift, effective decision-making in a rapidly-evolving business environment., • Mentor a group of engineers to help them get to the next stage of their career trajectory. #J-18808-Ljbffr

About Hedra Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation — it’s the next evolution of AI-driven content creation. At Hedra, we’re a team of hard-working, passionate individuals seeking to fundamentally change content creation and build a generational company together. We value startup energy, initiative, and the ability to turn bold ideas into real products. Our team is fully in-person in SF/NY with a shared love for whiteboard problem-solving. Overview We are looking for an ML Engineer with 3+ YOE designing, building, and maintaining data pipelines at scale. The ideal candidate has diverse experience managing data from ingest and processing through storage and training. This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability. Responsibilities * Lead the efforts to design, implement, and maintain scalable solutions for data warehousing and processing. Capable of providing the right solutions for the evolving needs of our research teams. * Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed data processing at scale. * Design data snapshots, ETL pipelines, and storage solutions with a strong focus on data shape and layout to ensure the flexibility required for training * Collaborate across research teams to understand their data needs and provide appropriate solutions, facilitating seamless model training. Qualifications * Bachelor’s degree in Computer Science, Information Technology, or a related field. * Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. * Understands the importance of orchestration tools in ML data workflows, and values engineering processes and version control (CI/CD). * Experience designing, building, and managing large-scale data pipelines for ML; experience with video data is a huge plus. * Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs. * Strong problem-solving and communication skills, given the need to collaborate with diverse teams. Benefits * Competitive compensation + equity * 401k (no match) * Healthcare (Silver PPO Medical, Vision, Dental) * Lunch and snacks at the office We encourage you to apply even if you don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems. #J-18808-Ljbffr

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our San Francisco office. • Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience, • Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas, • Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment, • Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences, • Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement, • 8+ years of industry experience building production Machine Learning systems, • MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, • Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks, • Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment, • Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning, • Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions #LI-Hybrid Compensation and Benefits Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $239,000 - $342,000 USD Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions outline the differences between the Tubi and FOX benefits: • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time., • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters., • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

Join to apply for the GTM Engineer (Clay & Cold Email Experience) role at Pump.co. This range is provided by Pump.co. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. $80,000.00/yr - $120,000.00/yr This role is based in our San Francisco office 5 days a week. Through commission and our highly valuable equity, OTE will be around $300K. We’re growing fast and looking for a scrappy GTM Engineer to supercharge our outbound motion and fuel sales growth. This is an onsite role that blends technical chops with go-to-market instinct—perfect for someone who thrives at the intersection of code and hustle. Deep familiarity with Clay is a must. You should know how to build, automate, and scale workflows in Clay without hand-holding. We’re looking for someone who can push the limits of what Clay can do and turn it into a competitive advantage across our outbound strategy. • Partner with sales and marketing to accelerate outbound efforts., • Build scrappy tools, scripts, and automations that improve how we find, convert, and support customers., • Create and maintain demo setups, sales enablement docs, and outbound playbooks., • Enrich lead data and contribute to outreach strategies using Clay, LinkedIn, and scraping utilities., • Troubleshoot blockers during handoff or onboarding and relay insights to the GTM team., • Continuously test new outbound approaches and find creative ways to scale what works., • Must have hands-on experience using Clay for outbound workflows., • Bachelor’s in STEM (Computer Science, Engineering, Data Science, or similar)., • Strong technical foundation—comfortable with APIs, no-code tools, and writing lightweight scripts., • Fast learner who enjoys diving into new tools, problems, and workflows., • Excellent communicator—able to explain technical ideas in simple terms., • Excited to work cross-functionally with sales & marketing., • Bonus: Internship at a startup or B2B SaaS company., • Bonus: Side projects, hackathons, or real-world builds that show initiative and follow-through., • Ability to work 5 days a week in office., • Competitive salary and equity., • Full benefits package, including premium healthcare coverage., • Professional development and learning reimbursements., • 3–4x/year company-paid team retreats., • Seniority level: Entry level, • Employment type: Full-time, • Job function: Engineering and Information Technology #J-18808-Ljbffr

Crusoe Cloud Network Engineering team is looking for an ambitious, experienced team player to join our Network Operations team. Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High-Performance Compute (HPC) Clusters with GPUs. The ideal individual will be highly motivated, self-directed, and have a desire to work on cutting-edge technologies related to the environment. You must possess excellent analytical and communication skills and be a great team player. As a Staff Network Operations Engineer, you will be part of the Network Engineering team. You will be responsible for the operations for Global Crusoe Cloud Network. You will be responsible for ensuring that the network is up through monitoring, applying various break fixes for outages and will be part of the 24/7 oncall. By joining this team, you will gain marketable network operational experiences in edge, backbone, and HPC-based data center networking at a massive scale. • Manage, and optimize Crusoe Energy Cloud's global network, including edge, backbone, data center, and public cloud connectivity., • Collaborate with Network Engineering and cross-functional teams including but not limited to Software Infrastructure, and Product, to drive the innovation and evolution of the Crusoe Energy Cloud network., • Lead operational excellence initiatives—developing monitoring, alerting, and self-healing systems to ensure high network availability., • Perform advanced troubleshooting and root cause analysis for incidents, guiding post-mortem reviews and improvements., • Mentor network engineers and establish best practices for incident response, documentation, and operational readiness., • 10+ years of related experience building and operating at scale in a production environment., • In-depth knowledge of network protocols including TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, QoS and MPLS-related technologies like RSVP-TE, LDP, etc., • Good understanding of network monitoring protocols and tools, such as SNMP, IPFIX, Sflow/netflow, and Telemetry., • Experience with tools like Kentik, Arbor, Thousand Eyes, Catch point, packet design etc, • Familiar with data center network architecture, such as Fat Tree architecture, CLOS, BGP-TE, and peering for edge., • Hands-on experience with major network devices like Mellanox, Cisco, Arista, Juniper, and other mainstream vendors., • Familiar with mainstream commercial switch/router chipsets, such as Broadcom, Barefoot, etc., • Familiarity with technologies like RDMA, Infiniband, and RoCE will be a plus., • In-depth knowledge of public cloud architecture connectivity options to AWS, GCP, Azure, Ali Cloud, OCI, etc., • Good understanding of IPv6 and IPv4-IPv6 coexistence technologies., • Programming/scripting in Python, Ansible, Puppet, Chef, or other languages will be a plus., • Self-motivated, with good communication and writing skills., • Team player and participate in Crusoe Energy Cloud network global on-call rotation., • Industry competitive pay, • Restricted Stock Units in a fast-growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • Pet-friendly offices, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Join to apply for the Mid-Level Software Engineer, Reliability role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Mid-Level Software Engineer, Reliability role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are seeking experienced engineers to ensure their systems scale while maintaining performance and reliability. The role involves designing solutions for infrastructure scalability, collaborating with development teams, implementing monitoring systems, and participating in an on-call rotation to ensure system availability. Responsibilities: • Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands., • Collaborate with development teams to make the systems they design and operate more reliable., • Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment., • Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability., • Implement fault-tolerant and resilient design patterns to minimize service disruptions., • Build and maintain automation tools to streamline repetitive tasks and improve system reliability., • Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world., • Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. Qualifications: Required: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience)., • Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company., • Strong proficiency in cloud infrastructure., • Proficiency in programming/scripting languages., • Experience with containerization technologies and container orchestration platforms like Kubernetes., • Knowledge of IaC tools such as Terraform or CloudFormation., • Excellent problem-solving and troubleshooting skills., • Strong communication and collaboration skills., • Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack., • Experience with microservices architecture and service mesh technologies., • Knowledge of security best practices in cloud environments. Company: OpenAI creates artificial intelligence technologies to assist with tasks and provide support for human activities. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. OpenAI has a track record of offering H1B sponsorships. • Mid-Senior level, • Full-time Medical insurance Vision insurance 401(k) Get notified when a new job is posted. San Francisco, CA $160,000.00-$180,000.00 2 weeks ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $150,000.00-$250,000.00 2 weeks ago San Francisco, CA $120,000.00-$180,000.00 1 month ago San Francisco, CA $150,000.00-$230,000.00 3 months ago San Francisco, CA $57.00-$61.00 4 days ago San Francisco, CA $150,000.00-$283,000.00 2 weeks ago San Francisco, CA $57.00-$61.00 4 days ago San Francisco, CA $99,500.00-$200,000.00 2 weeks ago San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $120,000.00-$190,000.00 9 months ago San Francisco, CA $57.00-$61.00 4 days ago San Francisco, CA $130,000.00-$140,000.00 2 weeks ago San Francisco, CA $57.00-$61.00 4 days ago San Francisco, CA $125,000.00-$175,000.00 2 months ago San Francisco, CA $163,200.00-$223,200.00 2 weeks ago San Francisco, CA $99,500.00-$200,000.00 2 weeks ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $140,000.00-$280,000.00 8 months ago Alameda, CA $130,000.00-$160,000.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

We are seeking a highly skilled and experienced Senior Engineer with expertise in SaaS systems and complex API integration to join our dynamic Sigma IT Engineering team.This role is responsible for designing, implementing, and maintaining integrations between various SaaS platforms and internal systems to ensure seamless data flow and process automation across the Enterprise SaaS applications. The ideal candidate will have a strong background in SaaS application management, API integrations, and building automation frameworks with a deep understanding of security, scalability, and reliability. This role requires deep technical knowledge, strategic thinking, and the ability to coordinate between internal teams and third-party vendors to ensure seamless IT operations. • Design, implement, and maintain integrations between SaaS ERP, CRM systems (e.g., Salesforce, Workday, Okta, Slack, Atlassian, NetSuite, etc.) and internal applications., • Develop and manage APIs, webhooks, and middleware connectors using integration platforms or custom code., • Collaborate with cross-functional teams (Security, DevOps, Finance, HR, etc.) to identify integration requirements and deliver robust solutions., • Manage lifecycle of SaaS applications including onboarding, configuration, SSO integration, and offboarding., • Ensure integrations are secure, compliant, and scalable in line with IT governance policies and security standards., • Evaluate and select appropriate technologies, tools, and platforms for integration and scalability., • Monitor system health and performance, troubleshoot issues, and optimize data flows between applications., • Efficiently handle day-to-day IT Operation tickets while also ensuring the stability, security, and performance of systems, networks, and SaaS platforms., • Troubleshoot and resolve users technical issues via ticketing system, chat, phone, or in person., • Develop and maintain documentation for system architecture, integration points, and support procedures., • Mentor engineers and provide technical leadership on key projects., • Bachelor's degree in Computer Science, Information Systems, or related field., • 5+ years of experience with SaaS systems administration, Access management, API Integrations , Source Code Management Tools (e.g. Git Hub, Bit Bucket etc ), • Expert level experience on API Development on Studio IDE, ETL, Middleware or iPaaS Platforms (e.g. Dell Boomi, Workato, Mulesoft , Informatica etc ), • Strong hands-on experience with Webservices, RESTful APIs, JSON, OAuth, OIDC and Webhooks., • Knowledge of ITSM , IAM tools (e.g. Jira), identity systems (e.g., Okta), and cloud platforms (e.g., AWS, GCP)., • Excellent problem-solving skills and the ability to manage multiple projects., • Experience in a fast-paced, cloud-native, SaaS-first environment., • Experience working with enterprise data integrations involving HRIS, finance, ERP, or IAM systems. The base salary range for this position is $150k - $180k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such asforecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. • Equity, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program Note: We have an in-office work environment in all our offices in SF, NYC, and London. indicates a required field First Name * Last Name * Preferred First 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 #J-18808-Ljbffr

Who we areThe problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond—preventing small flare-ups from becoming devastating infernos.About Pano: We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely—with the right equipment, timely information, and enhanced coordination—so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.Pano AI is on___'s list of the___ MIT Technology Review listed Pano as one of the___ in 2024, and Fast Company named Pano AI one of the___. We’ve also been featured in the___,. Pano AI’s dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised___ from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at___.The Role:Want to build technology that helps stop wildfires? As a Senior Software Engineer at Pano, you'll develop critical systems that give first responders precious minutes when they matter most. You'll enhance our network of cloud-connected edge computers that serve as digital watchtowers across wilderness areas, working with our custom Linux OS to enable faster fire detection and response.This isn't just another software engineering role – you'll solve complex technical challenges while knowing that every improvement you make could mean the difference between a small containable fire and a major disaster. Working at the intersection of embedded Linux, IoT, and AI, you'll be part of a mission that's becoming increasingly critical in our changing climate. • Continually improve on the existing custom Linux OS that runs Pano’s edge computers, • Develop new features to enable faster and more accurate wildfire detections, • Participate and drive critical decisions on adopting new tools and patterns to improve uptime and reliability, • Ongoing debug and resolution of field issues, • 7+ years of software engineering experience plus a BS in Computer Science or equivalent, • 2+ years of experience programming in Python, • Proficient in scripting with Bash, • Experience with building, maintaining and deploying embedded Linux operating systems, • Strong Linux fundamentals, • Experience with an embedded system toolchain, like Yocto or Buildroot, • Proven ability to troubleshoot and resolve technical issues in complex systems, • Ability to communicate effectively within the team and across the organization while sharing insights and updates and collaborating to achieve project goals, • Must be located in the Pacific or Mountain time zone, • Experience with Google Cloud, • Experience working with cellular communications, • Experience working with sensors like cameras, • Experience with IoT networkingPano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #J-18808-Ljbffr

Research Engineer, Frontier Evals - Finance | OpenAI Careers Reasoning - San Francisco Apply now (opens in a new window) About the team The Frontier Evals team builds north star model evaluations to drive progress towards safe AGI/ASI. This team builds ambitious evaluations to measure and steer our models, and creates self-improvement loops to steer our training, safety, and launch decisions. Some of the team's open-sourced evaluations include SWE-bench Verified , MLE-bench , PaperBench , and SWE-Lancer , and the team built and ran frontier evaluations for GPT4o , o1 , o3 , GPT 4.5 , ChatGPT Agent , and GPT5 . If you are interested in feeling firsthand the fast progress of our models, and steering them towards good, this is the team for you. About you We are seeking exceptional research engineers that can push the boundaries of our frontier models in the finance domain. We are looking for those who will help shape AI evaluations of financial reasoning and related capabilities, and will own individual threads within this endeavor end-to-end. In this role, you'll: * Identify important model capabilities, skills, and behaviors that are crucial to financial workflows, and design methods to quantify performance in these areas * Own and pursue a research agenda to identify an important model capability (especially as it relates to financial reasoning) and build evals to measure it * Continuously refine evaluations of frontier AI models to assess the extent of frontier capabilities We expect you to be: * Have prior background / domain expertise in finance, especially investment banking or private equity, and a passion for these problems * Detail-oriented and thorough * Team player / willing to do a variety of tasks to move the team forward * Passionate and knowledgeable about AGI/ASI measurement * Strong engineering and statistical analysis skills * Able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end It would be great if you also have: * An ability to work cross-functionally * Excellent communication skills About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation $310K – $380K + Offers Equity Apply now (opens in a new window) #J-18808-Ljbffr

Senior Manager, Sales Engineering page is loaded Apply locations San Francisco time type Full time posted on Posted Yesterday job requisition id R7819 Company Description We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why. With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech. Job Description We are seeking a talented and driven Senior Manager Solutions Engineering to join our growing North America team. This is a highly visible, client-facing role where you will act as the primary technical expert for our largest strategic enterprise merchants. You will be the technical bridge between our powerful payments platform and our clients' business needs, playing a critical role in driving revenue and ensuring merchant success from pre-sale through to go-live and beyond. Job Description * Lead technical pre-sales discussions, delivering compelling product demonstrations and platform presentations to prospective enterprise merchants. * Architect elegant and scalable payment solutions tailored to the unique business requirements and technical landscapes of our largest strategic clients. * Act as the primary technical advisor for our strategic enterprise accounts, partnering closely with the Sales team to drive new revenue and identify upsell/cross-sell opportunities in the post-sale phase. * Guide merchants through the entire technical integration lifecycle, from initial implementation to a successful go-live, ensuring a seamless and efficient onboarding experience. * Serve as the voice of the merchant internally, collaborating with Product, Engineering, Financial Partnerships, and Finance teams to solve complex technical challenges and influence the product roadmap. * Become a subject matter expert on the Checkout.com platform and the broader payments ecosystem. Qualifications * A minimum of 5+ years of hands-on experience within the payments industry is essential. * Exceptional client-facing and communication skills, with a proven ability to build trust and rapport with technical and non-technical stakeholders. * Deep understanding of API-based integrations, specifically with REST/JSON APIs, and proficiency with related development tools like Postman. * A natural problem-solver with strong analytical and debugging skills, capable of reproducing, isolating, and clearly explaining technical issues using logs, API responses, and other diagnostic tools. * The ability to distill complex technical concepts and communicate them effectively to a business audience. * Highly organized and adaptable, with the ability to thrive in a fast-paced, high-growth environment and effectively manage shifting priorities. * A strong technical acumen is highly preferred, ideally supported by a degree in Computer Science, Engineering, or a related field. * Previous experience in a similar role such as a Solutions Engineer, Sales Engineer, or Implementation Engineer is a strong plus. Bring all of you to work We create the conditions for high performers to thrive – through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity – and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram #J-18808-Ljbffr

About the Company: World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone. About the Team: We are a rapidly growing, highly cross-functional team that strategically partners with industrial design, optics, software, market operations, and the finance teams to define new product concepts. Join our dynamic team as an Electrical Engineering Lead, and contribute to the development of our next generation proof of human devices. We offer competitive compensation, professional development opportunities, and a collaborative work environment. About The Opportunity: Tools for Humanity is looking for a Senior Electronics Hardware Engineer to lead device development on our concept engineering team. This role will work closely with Software, Product Development, and Industrial Design teams to develop functional concepts driving the technological roadmap at Tools for Humanity. • Architect and design device concepts to rapidly derisk future programs., • Design functional prototypes of advanced biometric sensing systems., • Technology selection for concepts and risk analysis for productization., • End to end ownership of concept electrical systems, ensuring they can meet performance and reliability standards., • Work collaboratively with cross-functional teams on concept integration into products with a focus on DFx, cost, power, and performance., • Developing and implementing advanced electrical systems and circuits., • Program microcontrollers in C with real-time operating systems (FreeRTOS and Zephyr) for testing and device bring-up., • Participate in design reviews., • Mentor junior engineers in development best practices., • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field., • 7+ years of experience in electronics product development, including concept to design, planning, circuit development, and multilayer layout creation with E-CAD tools., • Experience leading electrical engineering projects., • Proficiency in circuit simulation tools., • Knowledge of industry standards and regulatory requirements., • Solid understanding of embedded systems and microcontrollers., • Experience using measuring equipment such as oscilloscopes, logic analyzers, and VNA., • Hands-on experience in developing and integrating embedded camera-based hardware systems., • Programming skills in C for microcontroller development, with experience in real-time operating systems (RTOS), preferably FreeRTOS and Zephyr., • Proficient in English, with strong written and verbal communication skills., • Experience developing multimodal sensing systems., • Previous experience in fast-paced startups as well as experience shipping high volume consumer devices., • Experience with working with sensor vendors including image sensor suppliers., • Mid-Senior level, • Full-time, • Engineering and Information Technology Get notified about new Senior Electrical Engineer jobs in San Francisco, CA. San Leandro, CA $75,000.00-$175,000.00 3 months ago San Francisco, CA $140,000.00-$270,000.00 9 months ago San Mateo, CA $127,500.00-$240,000.00 1 week ago San Francisco, CA $120,000.00-$200,000.00 1 month ago South San Francisco, CA $100,000.00-$125,000.00 3 weeks ago San Francisco, CA $125,000.00-$190,000.00 1 month ago Electrical Engineer-High Frequency Power Electronics San Francisco, CA $120,000.00-$160,000.00 3 months ago San Francisco, CA $120,000.00-$165,000.00 1 month ago Electrical Engineer - Hybrid! (Jr to PE level needed) - Revit San Francisco, CA $100,000.00-$150,000.00 2 weeks ago Alameda County, CA $72,200.00-$134,200.00 2 weeks ago San Mateo County, CA $60.00-$115.00 5 days ago San Francisco, CA $107,800.00-$168,400.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Join to apply for the Senior Embedded Software Engineer - Network Software role at Astranis Space Technologies Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from investors and employs a team of 450 engineers and entrepreneurs. The company designs, builds, and operates its satellites from its headquarters in Northern California, USA. As a Senior Embedded Software Engineer on the Network Software team, you will be responsible for assisting with architecture, high-level design choices, development, execution, and implementation of the flight software that commands and monitors the spacecraft. You will also mentor junior members and collaborate with other teams to ensure that the software implemented works on their hardware. This role will contribute to both commercial and US Government programs. • Develop Software for the Flight Computer / Earth Stations Hub for our Satellites, • Develop Firmware for control boards on the satellite / Earth Stations Hub, • Improve and deliver reliable software through requirements generation, design, continuous integration, automated testing and code reviews, • Collaborate with multiple teams (Payload, Communications Ground Control, Telemetry), • Develop software in C++ to interface with Flight computer and interface with the custom hardware on the vehicle, • Deliver complex projects through incremental development, • 5-8+ years of experience developing software for products in modern C++ or C, • Familiarity with Software Development Methodologies and Design Patterns, • Experience with working on Communication Protocols (TCP/IP, I2C, SPI), • Good Communication and Written Skills, • Passionate about Space Technology, • Experience with Building High Availability/High Reliability systems, • Experience with Python, • Experience with embedded Linux / POSIX systems, • Experience developing on and for VxWorks, Linux, FreeRTOS, or QNX Environments, • Demonstrated experience building, testing, and shipping production software, • Experience with safety critical development (FDA, FAA, Automotive) Base pay is a single component of Astranis's total rewards package, which may also include equity in the form of incentive stock options, high quality company-subsidized healthcare, disability and life insurance benefits, flexible PTO, 401(K) retirement, and free on-site catered meals. Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position. $150,000 - $210,000 USD U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) • Seniority level: Mid-Senior level, • Employment type: Full-time #J-18808-Ljbffr

Join to apply for the Staff/Sr Staff System Test Engineer - Power Electronics role at Amperesand 1 day ago Be among the first 25 applicants Join to apply for the Staff/Sr Staff System Test Engineer - Power Electronics role at Amperesand This range is provided by Amperesand. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. $170,000.00/yr - $250,000.00/yr Amperesand is disrupting industrial power with the first commercialized Solid State Transformer systems. Solid State Transformer systems are much more than a transformer replacement, enabling numerous advanced features to unlock solutions for data centers, EV charging, renewables, microgrids, and industrial installations. We seek mission-driven team members who are passionate about making amazing products for worldwide electrification at maximum acceleration. Amperesand is building a global company and looking for talent across our geographies. Role: At Amperesand, you own validation of power electronics, thermal systems, and firmware. You will build test systems, develop strategies, and ensure SST hardware and firmware work flawlessly. Responsibilities: • Design, develop, and maintain test systems for high-voltage power electronics., • Validate electrical, thermal, and performance characteristics of our products across prototype, pre-production, and production stages., • Conduct comprehensive regression testing to ensure that new iterations of the product meet the same standards of performance and reliability as previous versions., • Define a manufacturing test specification for volume production., • Innovate test system design to meet accuracy, cycle time, cost, and other performance factors., • Collaborate closely with hardware design and firmware teams to understand the product and its functionalities. Investigate root causes of failures and drive product improvements., • Participate hands-on during test hardware bring-up, system debugging, and help with software optimization., • Incorporate design techniques to achieve ease of validation and maintenance., • Challenge ideas and decisions with reasoning from first principles., • BS or MS in Electrical or Computer Engineering., • 8+ years of hands-on experience in test engineering, preferably in power electronics., • Strong understanding of power electronics principles, including high-voltage, high-current systems, and power conversion technologies., • Solid experience with PCBA schematics and debugging hardware components., • Familiarity with using oscilloscopes, multimeters, power analyzers, and other test equipment., • Experience using system-level languages (such as Golang, Rust, C, C++, etc.) to automate systems., • Be engaged, proactive, and positive when taking on challenging tasks, owning assignments, and taking accountability for personal and overall team success., • Mid-Senior level, • Full-time Get notified about new System Test Engineer jobs in San Francisco Bay Area. Santa Clara, CA $163,360.00-$245,040.00 13 hours ago San Francisco, CA $380,000.00-$460,000.00 6 days ago Sunnyvale, CA $141,000.00-$202,000.00 1 day ago Milpitas, CA $110,000.00-$200,000.00 5 hours ago Santa Clara, CA $136,000.00-$264,500.00 7 hours ago San Francisco, CA $157,000.00-$157,000.00 6 days ago Mountain View, CA $109,000.00-$155,000.00 2 weeks ago San Francisco, CA $157,000.00-$180,000.00 8 hours ago Santa Clara, CA $110,000.00-$240,000.00 1 day ago Mountain View, CA $144,000.00-$211,000.00 4 days ago San Francisco, CA $144,900.00-$168,400.00 4 hours ago San Jose, CA $144,000.00-$211,000.00 2 weeks ago San Francisco, CA $141,000.00-$202,000.00 8 hours ago Mountain View, CA $130,000.00-$300,000.00 1 week ago Mountain View, CA $114,000.00-$189,000.00 4 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

At Sigma, we believe that a seamless onboarding experience is key to unlocking the full potential of our platform. As an Onboarding Engineer, you will be the trusted guide for new customers, helping them implement their first use case, adopt Sigma’s best practices, and become self-sufficient power users. You’ll collaborate closely with Sales, Customer Success, Technical Support and Product teams to ensure every customer’s journey is smooth, impactful, and tailored to their needs. In this role, you’ll combine technical expertise with a customer-first mindset. You’ll be helping BI developers, analysts, and data teams translate their workflows into Sigma, optimize performance, and drive long-term success. • Drive new customer onboarding with a core focus on customer adoption and self-sufficiency, • Guide experienced BI developers, new to Sigma, on Sigma-specific methodologies, • Tailor the implementation design to the skill-set of the customer, • Teach best practices of using Sigma, relevant to the use case and the skill-set of the user, • Define path to successful onboarding based on proactively understanding customer’s business’ needs and purchase drivers for Sigma., • Drive accountability of the customer to define the path to first value, working closely with Sales and Customer Success Managers., • Manage and own key customer milestones: sales handoff (internal), initial onboarding kickoff, enablement, training, first value use case activation, go-live, and handoff to CS., • Create an effective feedback loop to Product, Support and Sales teams to optimize how we onboard new customers., • Raise risks and drive accountability to remove onboarding blockers., • Provide BI implementation expertise / advice in one or more of the following areas:, • Sigma best practices and patterns, • Data modeling / shaping, • Common BI usage patterns, • Future product direction / roadmap, • Performance optimization, • Security including SSO, team organization, and row-level security, • Document new knowledge and cross-train other members of the team, • 7+ years of overall experience in data warehousing / data analytics / business intelligence, • Must have at least 3 of these years of hands-on BI development, using one of the major Business Intelligence tools (Tableau, Looker, PowerBI, Sisense, Qlik, Thoughtspot etc…), working in a customer-facing, technical role (BI developer, BI consultant or BI pre-sales), • Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer, • Customer relationship skills, • Data warehouse experience - cloud data warehouse preferred (Snowflake, Databricks, Redshift, BigQuery), • Hands-on experience with dimensional data models and data shaping techniques (SCD, dim_date, pivot/unpivot/lateral join with unnesting etc…), • Hands-on SQL proficiency, • Focus on methodologies for creating BI solutions, that are robust, reusable and easy to understand and maintain, • Desire to teach the customer the best way to accomplish their goal, • Bachelor’s degree in computer science or related field or equivalent technical experience, • Experience at a SaaS company or with cloud architectures, • Common BI usage patterns, • Performance optimization, • Experience with data analytics business use cases, • ETL experience a plus, • Familiarity with JavaScript and Web Development is a plus, • Security including SSO, team organization, and row-level security If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program Note: We have an in-office work environment in all our offices in SF, NYC, and London. #J-18808-Ljbffr