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David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $25M Series A from Jack Altman (Alt Capital), Amplify Partners, First Round Capital, and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. As a Senior Backend Engineer at David AI, you’ll work across product surfaces to design clean APIs, build scalable services, and keep our systems performant under the weight of terabytes of audio data. * Design, build, and maintain production-grade backend services that power everything from data collection to customer-facing insights. Own the architecture and performance of distributed systems that ingest, transform, and serve audio data at scale. * Define and evolve internal APIs and service boundaries to support a growing set of ML and product features. * Build resilient, observable, and easy-to-debug systems with strong performance characteristics. Collaborate with product, operations, and ML teams to rapidly iterate on new ideas and ship fast. * 3+ years backend development building scalable APIs and services. * Proficient with RESTful APIs, service interfaces, and database design (PostgreSQL, MySQL). * Strong understanding of distributed systems and service-oriented architecture. * Extensive cloud infrastructure and infrastructure-as-code experience. * Proficient in profiling, debugging, and optimizing backend systems. * Experience launching systems from ground up in high-growth environments (preferred). * Familiarity with event-driven architectures, async processing, or large-scale data pipelines. * Familiarity with CI/CD pipelines and DevOps best practices. * Built scalable data pipelines that have facilitated large-scale event-driven workflows across large volumes of audio or video data. * Deployed ML models for inference in a production environment. * Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, ___, WebRTC, FFmpeg. * Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry. * Competitive salary and equity package. * Flexible PTO policy. * Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. * Paid lunch and dinner in the office, every day through DoorDash. * 401k access.

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 ___ 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. Note: At Hedra, we’re a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. You must be willing to work in-person in either NYC or SF. As a Senior Backend Engineer, you will design, build, and deploy the backend services that power our transformative products, including Create, Stylize, and Studio. You will work with web and video standards to power our suite of web-based video and audio creation / editing tools. You will also dive deep into video container formats and streaming protocols, such as MP4, MKV, HLS, and MP-DASH, and work with tools such as FFMPEG. You will also work on building and deploying backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We’re looking for full-time hires for our New York or San Francisco offices. * Experience developing scalable services using Python * Experience developing RESTFUL APIs using frameworks such as FastAPI and Pydantic * Familiarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWT * Experience working with relational and noSQL datastores (such as DynamoDB) * Experience writing unit and integration tests and working with CI/CD and dev-containers * Experience writing scalable, async code and leveraging asyncio, generators, coroutines * Experience building and scaling cloud-based infrastructure leveraging Kubernetes and EKS * Familiarity with AWS IAM, IRSA, ALB/NLB, route53, S3, lambda * Familiarity leveraging schema-registry, and serialization protocols such as avro, parquet, and JSON-schema * Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka. * Startup Experience is a must — we work hard and build quickly. Ideal candidates should be passionate with an always-on attitude that drives them to live and breathe the product (not a “punch the clock” disposition). * Experience architecting and implementing REST APIs for distributed systems. * Experience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware. * Familiarity with audio/video web standards and tools, such as Webcodecs, webRTC, HLS, MP-DASH, FFMPEG, MP4, and MKV a plus. * At least 5 years of professional Python or Golang. * Self-motivated and independent — able to set accurate timelines for development and deliver on them. Have an opinion and the experience to backup that opinion. * Low ego, high patience, strong communication skills. * Understand operational costs and overhead short and long term. * Mission-driven — we are building something fundamentally disruptive and this reflects deeply in our company DNA. * And most importantly, treat Hedra as your own and help shape the vision accordingly * Competitive compensation and equity. * 401k. * Healthcare (Silver PPO Medical, Vision, Dental). * Gym access. Michael Lingelbach (CEO) - Before taking a leave of absence to start Hedra, Michael was a PhD student at Stanford jointly advised by Jiajun Wu and Fei-Fei Li. Michael has published in top computer science conferences such as ICRA and CoRL, with a focus on building large-scale simulation platforms for computer vision and robotics. He has also made notable contributions to several open source projects (iGibson, OmniGibson). He’s a passionate cinephile, former thespian, and huge fan of Denis Villeneuve.

About Us: * Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. * We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. * We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem. About You: * You will be working on our backend built with Python/FastAPI (with lots of asyncio), Postgres, and Redis. You should be immediately productive coming into a codebase on this stack. * You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. * You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we’re building for software engineers like ourselves.

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. * Design and build systems to accurately track API usage and billing events. * Implement integrations with usage-tracking platforms (e.g., Orb, Metronome) and payment processors (e.g., Stripe). * Develop internal and customer-facing dashboards for billing insights and usage analytics. * Build APIs for authentication, user management, and customer integrations. * Ensure billing accuracy, scalability, and reliability. * 3+ years experience as a backend engineer. * Strong programming skills in Python or Go. * Experience designing REST APIs. * Familiarity with event-driven systems (Kafka, Kinesis, Pub/Sub). * Comfortable working with PostgreSQL and/or time-series databases. * Previous experience with billing and payment platforms (Stripe, Orb, Metronome). * Experience building customer-facing dashboards (React/Next.js). * Knowledge of multi-tenant architectures. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the ___ and the ___.

Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You’ll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You’ll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. • Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods., • Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers., • Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users., • Engineer trade-offs between latency and throughput to serve diverse workloads efficiently., • Optimize prefix caching to reduce model compute and speed up responses., • Collaborate with ML researchers to bring new model architectures into production at scale., • Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations., • 5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices., • Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems., • Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance., • Expert-level programming in one or more of: Rust, Go, Python, or TypeScript., • Knowledge of modern LLMs and generative models and how they are served in production is a plus., • Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy., • Experience with Kubernetes or container orchestration is a strong plus., • Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus., • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience., • Shape the core inference backbone that powers Together AI’s frontier models., • Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation., • Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale., • Partner with world-class researchers to bring new model architectures into production., • Collaborate with and contribute to the open source community, shaping the tools that advance the industry., • A culture of deep technical ownership and high impact — where your work makes models faster, cheaper, and more accessible., • Competitive compensation, equity, and benefits. 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: $160,000 - $250,000 + 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 ___

Perplexity is looking for an experienced Backend Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products. Tech Stack: Python | PostgreSQL | DynamoDB | Redis | FastAPI Teams Hiring Enterprise The Enterprise Team at Perplexity designs and builds core platform features like rich file attachments, secure file and app connectors (using cutting-edge Model Context Protocol), and Spaces for streamlined collaboration—capabilities widely used by both enterprise and regular users. The team owns uniquely challenging domains at the intersection of AI, automation, and knowledge management, directly shaping how millions of people work with private data, files, and productivity apps across Perplexity. Their small, expert group operates with high autonomy, developing systems that set industry standards and deliver massive, visible product impact. Growth The Growth team shapes how millions of people experience Perplexity. We rapidly experiment and launch new ideas across all user-facing surfaces at Perplexity including onboarding, verticals like Students, and premium Max Tier. We build AI-powered features such as personalized prompts, auto-generated study guides, and contextual upsell nudges, driving user activation, retention, and revenue across all platforms. We own Perplexity’s growth platform, including experimentation framework, feature flagging, and notifications, to mobilize impactful feature development across the company. Engineers have outsized impact, building both the product and the platform that power our company’s growth. Billing The Billing team powers how users subscribe to and pay for Perplexity, building seamless subscription experiences across all tiers. We partner with business and finance teams to define new pricing and subscription models, while also driving growth through partner integrations that expand distribution and brand presence. We develop and maintain secure, scalable systems—including agentic payments that autonomously interact with payment platforms—ensuring reliable financial transactions for millions of users worldwide. By shaping both user experience and revenue infrastructure, the Billing team sits at the core of Perplexity’s growth and sustainability. Agentic Payments. Develop and maintain secure and scalable user experiences and systems that integrates with various payment platforms and intelligently and autonomously conduct financial transactions on behalf of Perplexity users. Consumer Verticals With AI-powered exploration and browsing, personalization and memory, live data visualization, comparison, and checkout, Perplexity is reimagining the consumer experience across verticals such as travel, shopping, health, real estate, finance, sports, live events and ticketing, and more. Each of these verticals represents an opportunity for Perplexity to disrupt massive markets dominated by slower-moving incumbents. Agentic actions powered by Comet unlock novel consumer experiences such as automated shopping and travel purchases, restaurant reservations, complete travel itineraries planned and booked from scratch, automated investing, and more. Special Projects Special Projects is a team dedicated to building 0-1 products that redefine the future of search. Our mandate is to iterate fast, deliver high quality experiences, and reinvent the role of AI in search, social media, and personal computing. By joining the Special Projects team, you will be given extreme ownership to deliver new consumer experiences and transform how people search the web and find answers. You will be expected to own projects end to end, to ship fast, and work through obstacles.We are looking for a talented Full Stack Engineer to join our team to help reinvent the future of search and AI assistants. Our current stack is Python, Docker, Kubernetes, NextJS, and React. In this role, you'll work on various projects that combine bleeding edge AI, consumer apps, and multi-modal capabilities (text, voice, image, video). * Build scalable systems that ingest and process data from the web, files, and other sources. * Optimize interfaces that interact with databases and caching systems. * Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements. * Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems. * Manage a complex orchestration system with many moving parts and interfaces. * Scale, optimize, and load balance multiple services with rapidly changing needs. * Strong experience with Python * Strong experience with databases and caching * Experience with AWS cloud infrastructure at scale * Experience working with high-scale data and non-deterministic systems like LLMs * 4+ years of engineering experience Our compensation range for this role is $180,000 - $300,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job Description Generalist Software Engineer About Us Here at Spellbrush, we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio — we're the team behind niji・journey. We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames. Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts. If you love turn-based tactics games, please consider applying! About The Role As Spellbrush continues to grow rapidly, we're seeking talented generalist engineers to join our team and help us build advanced data pipelines, foundational datasets, as well as the tools and infrastructure that support them. If the thought of running a batch job across ten-thousand GPUs to ingest petabytes worth of anime image and videos excites you, this is the job for you! What You'll Achieve You'll define the processes and infrastructure to transform and make data readily available across the company, whether it be embeddings, video, bounding boxes, or more. You'll partner with our world class AI researchers to understand their needs, and then design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size. Skills You'll Need To Bring You are a self-starter and can work directly with the research team to gather and synthesize high-impact needs from teammates, designing and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs. You've spent 3+ years as software engineer, with a wide generalist skillset. You’ve worked with distributed systems, and previously administered a big data toolset (Ray, Spark, Airflow, etc.). You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure, etc.), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, etc.). You’re comfortable pulling data from whatever source it may be in, whether that involves writing a complex SQL query to pull a billion rows out of a Bigquery Database, or coordinating the transfer of 10+ PB of data across two S3 regions. You are highly comfortable with scripting, whether in Typescript, Python, or even Bash when the need arises. Most importantly, you know when to pull in the complex overengineered tools, and when to instead rely on duct tape. You may be a good fit if: You have hands-on experience in designing and building highly scalable and reliable data pipelines Building data pipelines for AI presents itself with unique challenges. If you’ve previously built large scale big data pipelines, you’d be a good fit. You’re interested in learning and interfacing with AI researchers You’ll interface with some of the best AI researchers in the world, meaning that you’ll get to learn from the best. Your code will frequently need to ingest values and embeddings from our state-of-the-art models, and we’ll help you get up to speed here. You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You're comfortable working on small, fast-paced teams Our engineering team is small but mighty. You'll be working directly with some of the best AI researchers and engineers in the world to integrate their state-of-the-art models into your beautiful interfaces. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. Who you are • Proficiency in building and maintaining full-stack web applications, • Experience with modern frameworks and languages such as Python, Next.js, and Postgres, • Strong understanding of API design principles, authentication strategies (OAuth, API keys), and SDK architecture, • Familiarity with developer tooling and platforms—understanding what makes great documentation, intuitive DX, and reliable SDKs, • Experience with OpenAPI / Swagger and API gateway design, • Familiarity with WebSockets, streaming APIs, or real-time collaboration tools, • Competitive SF salary and foundational team equity

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. The role: As a Senior Front End Engineer, you will design new user experiences powered by our visual foundation models. The ideal candidate will work full-stack, across frontend and backend, to enable our users to access the power of our models through intuitive interfaces. We’re looking for people with a passion for AI and a desire to build the future of creativity. We use a modern tech stack including Next.js (React), Tailwind CSS, Vitess/MySQL and serverless computing. Responsibilities: * Develop and implement highly responsive user interface components using React and Tailwind CSS. * Use your backend development skills to build secure, scalable and efficient server-side applications. * Work closely with the research team to integrate new models into our platform and develop new user-facing features powered by these models. * Move quickly to build and iterate on new features and experiments. Qualifications: * 5+ years of hands-on experience in full stack development. * Strong proficiency with HTML/CSS, Javascript and Next.js (React), SvelteKit or Remix. * The will to work in an agile and fast-paced environment * A strong passion for artificial intelligence and the drive to learn new technologies. Bonus points: * Experience with Next.js and Tailwind CSS. * Experience with serverless architectures. * Experience working with a cloud technology stack (AWS, GCP, Kubernetes) * Experience working with ML models and especially generative models (LLMs, GANs, Diffusion models, etc.) Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description Mechanical Engineer - Plumbing Our Mechanical Engineering team is looking to add an experienced team member to our group of talented engineers. The person filling this position will be responsible for the design and technical systems for large, complex projects from schematics through construction administration. The ideal candidate will bring a strong background in the design and construction of plumbing systems. About HED We are a team that is full of ideas, experience, creativity, passionate opinions, insatiable curiosity, uncompromising integrity, commitment, and skill. Our culture is about aspiration, embracing change and challenges, listening to (and learning from) each other, encouraging continual learning, and inspiring collective growth. As an inclusive, integrated architecture and engineering practice, we value the diversity of perspectives, experiences, abilities, and expertise that advance both the work we do, and the world we share. Position Summary The Mechanical Engineer is a technical expert and design leader responsible for shaping high-performance, integrated mechanical engineering solutions across major and complex projects. This role sets the standard for technical execution, QAQC rigor, and interdisciplinary coordination across the firm. Mechanical Engineers at this level operate with full autonomy, own major portions of mechanical project design delivery, and mentor cross-functional teams. As trusted advisors, they represent the firm in client relationships, ensure technical excellence, and guide engineering strategy at the highest level. Their work influences practice-wide standards, design innovation, and technical mentorship. Essential Functions: • Lead the engineering design and documentation of large-scale and complex Plumbing systems – such as centralized building systems - from concept through construction., • Approve and apply advanced mechanical calculations to support system sizing, equipment selection, and performance verification., • Direct the setup and refinement of Revit models for mechanical scope, including template usage, view strategies, and coordination workflows., • Standardize mechanical Revit workflows across teams and lead the development of firmwide modeling tools, families, schedules, details and system templates., • Lead the development of controls sequences and diagrams for all mechanical systems., • Integrate mechanical systems across disciplines, resolving coordination challenges with architectural, structural, mechanical, and civil design partners., • Serve as the technical lead for mechanical coordination with clients, consultants, and internal teams., • Lead submittal reviews, RFI responses, and value engineering analysis for mechanical scope, ensuring code compliance and performance integrity., • Conduct field visits, lead construction observation efforts, and issue high-quality field reports documenting mechanical progress and issues., • Define mechanical system strategies aligned with budget, performance, maintainability, and schedule requirements; influence system decisions early in the design process., • Develop and lead QAQC plans for mechanical documentation; guide milestone reviews and apply firmwide drafting and modeling standards., • Mentor junior mechanical engineers and designers, providing real-time coaching, delegation guidance, and professional development support., • Develop onboarding content, technical training sessions, and reusable tools that support mechanical team development and consistency., • Collaborate with project managers and firm leadership on fee development, staffing strategies, and discipline resourcing for mechanical work., • Lead technical segments of meetings with clients, building officials, and consultants, communicating mechanical design direction and resolving complex issues., • Guide mechanical response strategies to field conditions, code conflicts, and VE proposals with clarity and ownership., • Bachelor's degree in Mechanical Engineering, or equivalent, required., • P.E. licensure required., • Plumbing experience required., • 10+ years in the AEC Industry preferred., • An understanding of the financial status of projects as they progress, development of cost budgets for projects, value of client relationships and be able to deliver projects with a focus on the quality is required., • Written and verbal communication skills commensurate with the position required., • Strong organizational skills required., • Revit experience required., • Experience with computers, specifically for word processing, spreadsheet use/creation and email required., • Detail-oriented, self-motivated, enthusiastic, flexible and curious personalities required., • Ability to work well with others under deadline situations required. Physical Requirements • Prolonged periods of sitting at a desk and working on a computer., • Must be able to effectively communicate in writing and verbally via phone, video conferencing, and in-person., • Visual acuity to perform responsibilities. Work Environment • We embrace a hybrid model that promotes both autonomy and collaboration, including the freedom to work from home, with regular in-office days to connect with teammates and build culture., • The office is a professional, open-space environment for collaborative and independent work. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Job DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org. About the Role As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities include: • System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors., • Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors., • Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness., • Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience developing software for robotic or complex electromechanical systems., • Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD)., • Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory., • Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps., • Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.Nice to Haves, • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet)., • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning)., • Experience working in a regulated industry (e.g., GxP, ISO standards).Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job Description Eluvio is a highly focused and expert team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security specialists working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through state-of-the-art real-time content routing, just-in-time code execution, and inline frame accurate multi-modal content AI. We are headquartered in Berkeley, CA. Our technology supports ground breaking content distribution and monetization driven by data, and we have formed Eluvio AI Labs to pursue the frontiers of innovation for Content AI. We are hiring for a Senior AI Scientist to lead the effort on foundation (Video/Text/Images - multimodal) ML/AI models. This role will work on cutting edge multimodal and video AI/ML research and development, and support the integration of the models into the product stack. Typical use-cases include (not limited to) - video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis. Job Duties • Research and develop advanced Video foundation models on topics like, video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis., • Develop production-grade ML models and integrate into the Eluvio AI stack., • Masters or PhD in Computer Science or related fields (ECE / Statistics / Math / Physics)., • Minimum 3 years (post PhD) or 5 years (post MS) of working experience as a machine learning engineer., • Demonstrated ability to build, verify, and deploy state-of-the-art task-specific ML models., • Deep knowledge of machine/deep learning algorithms (e.g., Transformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Scikit-learn, Jax)., • Excellent experience in deployment of machine learning models in production environments, particularly in video/media-focused applications., • Excellent communication skills and ability to collaborate effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment., • Strong technical expertise in system design and software development. Proficiency in both high-level languages (e.g. Python, JavaScript, Bash) and system programming languages (e.g., C/C++/Go/Rust)., • Demonstrated knowledge in API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems. Medical, dental, and vision insurance. Employee stock equity program Opportunity to work in the leading company in Decentralized Content AI, Distribution, and Monetization with an amazing team of experts and to impact the world with your innovation.

Job Description Product Engineer – New Product, First Owner Location: San Francisco, CA Compensation: $150,000 – $400,000 + 0.1%–1% Equity Type: Full-Time Visa Sponsorship: H-1B, O-1, OPT Priority: High About Company Client is a profitable, fast-growing, YC-backed company supported by top investors (GC, SV Angel, A Capital, Liquid 2, etc.). The company provides live company and people data via APIs and full dataset delivery, making hard-to-get data easy to use at scale. Their technology pipes in live data from over a dozen sources and delivers it instantly to customers, serving use cases such as: • Automatic pipeline building, • Pipeline prioritization, • Champion watching, • Company and people triggers for sales and marketing automation, • Investment deal sourcing Client’s goal is to index all important data on the web and deliver it to customers in an easy-to-use way. The company is launching a new consumer product to expand from <1% customer coverage to the full market. About the Role — Product Engineer (New Product, First Owner): The Company is seeking its first engineer dedicated to a new product line. This is a high-autonomy, high-ownership role for a builder, grinder, and founder-type engineer. You will own the product end-to-end from 0→1, including discovery, prototyping, building, shipping, and iterating. The product is a consumer-facing, self-serve layer on top of Client’s data infrastructure, enabling non-technical users (HR, Sales, Ops) to create AI agents from natural language prompts. Key Responsibilities: • Lead the 0→1 build of a new product on top of Client's APIs., • Build core algorithms for deterministic AI agents created from natural language., • Own product strategy and execution: user discovery, scoping, rapid prototyping, shipping, iteration, and metrics., • Collaborate closely with Sales and Customer Success to identify high-leverage workflows., • Build production-quality UX (fast, simple, correct)., • Work with the Head of Engineering on architecture, reliability, and data/privacy guardrails. Requirements: • 5+ years shipping production-grade software., • Strong full-stack engineering fundamentals., • Proven 0→1 product experience., • Experience working with sales/GTM teams., • Ability to design and implement core algorithms, AI agent workflows, and natural language interfaces., • Willingness/eligibility to work in-person in San Francisco for prototyping days (visa sponsorship available)., • Prior startup experience (Series A/B+ preferred). Preferred Qualifications (Green Flags): • Experience in growth engineering at top companies (Ramp, Brex, Rippling, Workato)., • Founder or early-builder background, ideally in sales tooling, workflow automation, or data APIs., • Strong CS fundamentals — graduates from IIT/IIIT/DTU or top-tier equivalents., • Strong product mindset — ability to translate vague needs into shipped product., • Familiarity with sales data ecosystems (funding, jobs, company data)., • Demonstrated ownership and tenure (2+ years in prior roles). Disqualifying Factors (Red Flags): • Job hopping (<2 years each role) without evidence of strong output., • No experience working with sales or customer-facing teams., • Extreme over-engineering tendencies., • Weak exposure to API-based tools, real-time data, or workflow systems., • Lack of grinder mentality — low resilience for high-effort build cycles. Interview Process: 1. 30-min video call with CEO, 2. 45-min technical screen with Head of Engineering, 3. 1-day onsite prototyping, 4. Final CEO chat, 5. Offer Ideal Companies From: • Brex, • Ramp, • Rippling, • Plaid, • Airtable, • Numeral, • (Also acceptable: strong growth-stage SaaS/data infra companies) Biggest Note: • Candidates who are top engineers, graduated from top universities, and have experience in big tech moving into startups are almost certain to be shortlisted., • Client is open to candidates with ex-quant backgrounds as well.

Job DescriptionAbout Multiply LabsMultiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role As a Senior Robotics Test Engineer, you will be a key technical leader responsible for ensuring the reliability and precision of the robotics software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you will build the infrastructure that validates our technology before it is deployed to our cell therapy manufacturing systems. This role is for a detail-oriented, senior engineer who can understand system-level tradeoffs and is passionate about building robust automated testing frameworks that directly impact patient lives.Responsibilities Include: • Test Infrastructure & Development: Collaborating with hardware and software teams to standardize testing across the organization. You will design the testing architecture and infrastructure, build automated frameworks, and maintain the comprehensive test suites (automated and manual) that validate our robotics software and firmware., • Subsystem Validation: Leading the planning and validation of new subsystems. You will work closely with hardware teams to test prototypes, compile data, and execute on feedback to drive design improvements., • System Integration: Partnering with Hardware, Software, and Field Engineering to plan and execute full-system integration tests within our manufacturing clusters., • Debugging & Issue Resolution: Investigating, reproducing, and resolving errors across the full system. You will collaborate with Field Engineering to triage failures, analyze logs to identify root causes, and validate fixes through targeted testing to ensure continuous operation., • Quality Assurance & Strategy: Contributing to test planning, documentation, and reliability metrics to ensure the scalability and long-term stability of our automated systems.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience in software test engineering, specifically within robotics or complex electromechanical systems., • Strong expertise in Python and experience building automated test frameworks from scratch., • Proven experience planning and validating new subsystems with a detail-oriented mindset., • Ability to understand and navigate complex system-level tradeoffs between hardware constraints and software flexibility., • Excellent communication and collaboration skills to work effectively across hardware and software teams.Nice to Haves, • Experience with project management tools (e.g., Jira) to align cross-functional teams and drive testing milestones., • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo) for automated testing., • Experience working in a regulated industry (e.g., GxP, ISO standards).Physical & Working Conditions, • Ability to reach, stoop, crouch, and kneel; this specifically includes the need to physically enter, stand, or crouch inside a robotic cluster for testing, debugging, or manual intervention., • Ability to lift up to 25 pounds (e.g., test fixtures, replacement parts, tools) and lift up to 5 pounds overhead., • Manual dexterity required for using hand tools, cabling, and making mechanical adjustments., • Work is split between a standard office setting and a manufacturing/lab area. When working in the manufacturing area, adherence to safety protocols and awareness of surroundings is required., • Occasional proximity to hazardous materials (e.g., biological agents, cryogenic materials) may occur during specific cell testing validation phases, though direct handling is rare., • Ability to wear Personal Protective Equipment (PPE), including lab coats, safety glasses, and gloves, when accessing specific lab or manufacturing zones., • This role generally follows a standard schedule but may necessitate occasional evening or weekend work to support critical cluster integration milestones or time-sensitive troubleshooting.Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO, • While our headquarters is located in San Francisco, CA, this position will require up to 5-10% domestic and international travel.Multiply Labs is an early-stage startup where equity is a major part of the compensation package.ClosingWe take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.

Job Description OUR COMPANY: EOS IT Solutions is a family run Global AV, IT Technology and Logistics company, providing Collaboration and Business Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true international provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT WILL YOU DO: Due to continued expansion to support our customers, we have an exciting opportunity for a Sales Design Engineer to join the EOS Team. You will be a technical consultant to the sales force generating Project Scope of Works, block flow diagrams and equipment lists to enable generation of customer proposals. You will also be leveraged by the post sales team for project engineering and or on-going project consultation for our clients You will provide a technical review of Audio-Visual Projects including but not limited to end-user technical training and support to the implementation teams. You must have a comprehensive understanding and experience of the audio-visual industry, AV system design principles, IP Networks, Implementation and Deployment methodologies for both small- and large-scale projects. This role requires up to 50% travel to client sites. KEY RESPONSIBILITIES: • Technically support Project Managers and Implementation Teams, including assistance with hands on and remote commissioning where required., • Produce and or assist with technical training for internal and external end-users., • Amend and adapt Audio Visual system design including CAD schematics and project requirements, • Keep current with the technical aspects of the systems being installed through manufacturer training., • Creation of system Scope Of Work and Bill of Materials for quotes to clients, this will include allocation of professional service hours., • Review and approval of technical documents (Schematics, rack drawings, layout drawings and detailed technical info for IP systems) for handover to Project Management for deployment., • Review and technical lead on project bids for client base., • 5+ years Design experience working with the AV Industry, • Degree level qualified in a formal technical discipline or 8+ years professional AV industry experience in implementation and / or system support., • Knowledge of design implementation, Installation or Service Experience of key technologies such as, • Control (Crestron, AMX, Extron), • Audio (BIAMP, QSC, POLYCOM), • Video (Cisco, Polycom, QSC, Crestron, Light ware, Teams, Zoom), • A VoIP Design and Deployment, • CTS certification or higher, • Excellent communication skills, and be confident when dealing with demanding clients, building contractors, architects, and other technical members of the project team., • Knowledge of the following is expected for success in the role:, • Audio systems design including conferencing audio, digital sound systems, public address, event spaces., • Video systems, large format displays, projection, video wall image processing., • Control systems touchscreen controls, automation, and smart building technology., • Video conference systems, integration techniques and deployment., • Audio visual system infrastructure design and planning., • Flexibility is required to accommodate working across time zones as part of a global team, including international travel upon notice if necessary., • CTS-D, CTS-I certifications, • Formal BA in an Engineering Field, • AutoCAD, BIM software or similar, • Microsoft Excel, PowerPoint, Visio, • Ease Software The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. #LI-HH1 #IND Pay Range$100,000—$130,000 USD

Job Description About Vumedi: Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia. Position Overview We are looking for an experienced Senior Data Engineer to join our Data Engineering team. In this role, you will help design, build, and maintain the data and BI infrastructure that powers analytics and decision-making across VuMedi. The ideal candidate brings a solid foundation in data engineering, strong technical skills, and a desire to contribute to meaningful work in healthcare education. You will lead key components of our Data Platform, improve data workflows, and collaborate closely with Engineering, Data Analytics, and business partners to ensure reliable, high-quality data across the organization. What you'll do: • Develop, improve, and maintain scalable data pipelines and ETL workflows., • Design and implement data solutions that support reporting, analytics, and data science., • Work with cross-functional teams to understand data needs and ensure accuracy, consistency, and availability., • Build and enhance data models and datamarts for analytics and BI use cases., • Monitor and optimize database performance; diagnose and resolve data-related issues., • Contribute to the adoption of best practices in data engineering, including documentation, testing, and code quality., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 5+ years of experience in data engineering or a closely related role., • Strong SQL skills (ideally Postgres) and experience with Python or similar languages., • Hands-on experience with AWS and its data ecosystem., • Practical experience with ETL/orchestration tools such as Airflow., • Solid understanding of data modeling, data integration, and ETL best practices., • Experience with BI/reporting tools such as Tableau is a plus., • Strong analytical and problem-solving skills; comfortable working in a fast-moving environment., • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders., • Opportunity to shape and scale a growing Data Platform., • Meaningful professional growth and exposure to impactful projects., • Career changing opportunity to help build a healthcare startup with an exponentially growing viewership, • Make a direct impact in the growth of the company

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. The role: As a Product Engineer, you will design new user experiences powered by our visual foundation models. The ideal candidate will work full-stack, across frontend and backend, to enable our users to access the power of our models through intuitive interfaces. We’re looking for people with a passion for AI and a desire to build the future of creativity. We use a modern tech stack including Next.js (React), Tailwind CSS, Vitess/MySQL and serverless computing. Responsibilities: * Develop and implement highly responsive user interface components using React and Tailwind CSS. * Use your backend development skills to build secure, scalable and efficient server-side applications. * Work closely with the research team to integrate new models into our platform and develop new user-facing features powered by these models. * Move quickly to build and iterate on new features and experiments. Qualifications: * 3+ years of hands-on experience in full stack development. * Strong proficiency with HTML/CSS, Javascript and Next.js (React), SvelteKit or Remix. * Strong passion for craft and polish in design. * The will to work in an agile and fast-paced environment * A strong passion for artificial intelligence and the drive to learn new technologies. Bonus points: * Experience with Next.js and Tailwind CSS. * Experience with serverless architectures. * Experience working with a cloud technology stack (AWS, GCP, Kubernetes) * Experience working with ML models and especially generative models (LLMs, GANs, Diffusion models, etc.) Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening January 2026). About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work. As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production. What You'll Work On: • Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery., • End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring., • Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes., • Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation., • BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field., • 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems., • Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP., • Solid software engineering skills with proficiency in one or more programming languages, including Python. The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc., • Proficiency in SQL is also required for writing complex queries and transforming data., • Experience building REST API-based services., • Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes., • Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data., • Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines., • Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences. The base pay range for this position is $148,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job DescriptionAbout Multiply LabsMultiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the RoleAs a Staff Mechanical Engineer in the Multiply Labs team, you will apply your engineering expertise and technical leadership skills to design complex automated machinery involved in the manufacturing of novel pharmaceutical products. You’ll be working directly with a cross functional hardware and software team on designing and building the current and next generations of Multiply Labs’ robotic systems. This ranges across designing and selecting robotic equipment, determining high level design goals and objectives, building prototypes and taking them to production. You’ll succeed in the role if you can optimize design using first principle engineering approaches. We have a mix of projects running simultaneously. You will need great documentation skills and ability to organize thoughts and ideas into actions in order to drive decision making conversations on major projects while coordinating with colleagues. Responsibilities • High level ownership of system design of machine and robotic design, • Lead concept ideation phases with strong fundamentals, • Detailed CAD work, • Investigation of applicable technologies and components, • Prototyping, testing, and iterating designs, • Generation of supporting design documentation, • Oversight in a transition to production manufacturing for completed design, • Responsible for analysis of designs including deflections, tolerance stack ups, load capacity, and material compatibility., • Responsibilities may also include controls and actuator sizing, interfacing, integration, and testing., • Proficiency with 3D CAD software, including modeling and creation of detailed drawings., • Extensive mechanical design experience developing production ready machine and/or designs from basic ideas and concepts, including starting from a ‘blank sheet’., • Proven ability to solve complex technical problems by breaking them down into simpler pieces and executable tasks., • Extensive knowledge of mechanical components, common engineering metals, plastics, joining methods, part fabrication methods, and finishing operations., • Extensive experience optimizing manufacturability of assemblies using DFM/DFA principles, • Experience transferring designs to external suppliers and contract manufacturers for productionQualifications, • Bachelors of Science in Mechanical Engineering or related field, • Experience designing and building automated production machinery, • Industrial experience developing robot EOATs, work cell fixtures, or material handling systems, • Working knowledge of GD&T standards, • 6-8+ years experience mechanical design engineeringNice to Have, • Experience with FDA and/or EMA regulated industries, • Experience designing machine power distribution and automation grade control cabinets., • Proficiency with Onshape, • Hands on experience with machine shop and prototyping toolsTravel, • While our headquarters is located in San Francisco, CA, this position will require up to 20-25% domestic and international travel. Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job Description We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. We’re looking for a Founding Engineer with deep backend and infrastructure experience to build the foundation of our cloud compute platform. You’ll be responsible for architecting and scaling the systems that power real-time generative workloads for next-gen applications. What You’ll Do • Build and maintain our core Python platform, which includes:, • Request routing, AI workload orchestration, GPU resource management., • Observability, authentication, rate limiting, and more., • Develop and maintain infrastructure using Terraform, Ansible, and cloud/bare metal provider APIs., • Own critical systems and tooling: Kubernetes, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed storage, and networking., • 5+ years of experience in cloud computing, infrastructure engineering, or DevOps roles., • Proficiency in cloud platforms (AWS, GCP, Azure) and their associated services (compute, storage, networking)., • Experience with container orchestration systems like Kubernetes, Docker, and serverless architectures., • Strong knowledge of cloud security best practices and data management strategies., • Demonstrated ability to optimize cloud resource usage effectively while balancing performance and cost., • Expertise in cloud platforms and services., • Experience with infrastructure as code tools (Terraform, CloudFormation)., • Familiarity with CI/CD pipelines and automation of deployment processes., • Competitive SF salary and foundational team equity

Job Description The Frontend Role: We're seeking a talented Front-End Engineer to join our team and help us build the next generation of anime and video game tools. You'll be responsible for designing and developing complex front-end applications, usually in react and typescript, with a focus on making responsive and delightful user interfaces. You may be a good fit if: You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You enjoy working on complex SPAs. Most of our apps are interaction-heavy single-page editors, much closer in spirit to photoshop and blender than your typical SaaS app. A willingness to dive headfirst into canvas, webGL, and (maybe!) webGPU is recommended! And you also have some design sense. Large complex SPAs have all sorts of super interesting UI/UX challenges! We're looking for someone with experience building tasteful UI, a good design sense for layout, experiences, and microinteractions. You're comfortable working on small, fast-paced teams We currently have a tiny team of three on frontend engineering. You'll be working directly with some of the best AI researchers in the world to integrate their state-of-the-art models into your beautiful interfaces. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.

Job DescriptionPhilo: TV on the Internet!!! At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Android Software Engineer The Android team at Philo is responsible for building our product experience on all Android-based mobile platforms (Google/Galaxy/Amazon stores). We're a small collaborative team building apps with high engagement and millions of installs, which collectively are responsible for a large fraction of the billions of minutes watched on Philo each year. We are passionate about crafting the best possible UX to connect our users with the content they love, providing a seamless viewing experience while surprising them with new features and capabilities. We are seeking an enthusiastic, experienced Android engineer with a deep technical background building high-quality, high-engagement Android applications for TV and mobile. You will help model best-practices to the team, and unblock your teammates when they are stuck. Responsibilities: • Help to lead technical direction for Android development, ensuring code quality, scalability, and performance., • Drive continuous improvements to the reliability, performance, and UI of the Android applications. In practice this means managing our tech debt backlog, and advocating for improvements as needed., • Provide input on system architecture and design tradeoffs., • Help the team manage and plan for the application releases. We have a rotating release shepherd, who is a member of the Android team and is responsible for the nuts and bolts coordination of each release (every week). In this role you would help guide the shepherd and make hard decisions about feature inclusion., • Monitor app performance and triage crashes, bugs and performance regressions as they arise., • 5+ years of software development experience, • Experience with Kotlin, Coroutines, and their surrounding ecosystem, • Experience developing an Android app with video streaming features, • Experience with Jetpack Compose, • Experience with MVVM, MVI, and/or Clean Architecture, • Experience with adaptive layouts for a variety of form-factors, • Experience with ExoPlayer, • Experience with GraphQL-based APIs, • Experience with cross device interoperability (e.g. casting), • Experience building multi-modal experiences More about Philo At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email and we'll work with you to meet your needs. Philo offers access to top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery, Food Network, Hallmark, HGTV, History, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, WE tv, and more, along with groundbreaking originals and blockbuster movies included with AMC+. Our service also includes 80+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 75,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a co-founder of Facebook and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary between $162K - $210K depending on experience and location, company stock options and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster Fictiv exists to help product innovators create. Fictiv is a global manufacturing and supply chain company that enables organizations to scale globally across Fictiv's four global manufacturing centers in India, Mexico, China, and the U.S.. Companies use Fictiv to access high-quality production, optimize supply chain logistics, and mitigate supply chain risk—ensuring they can move from prototype to full-scale manufacturing with speed and confidence. To date, Fictiv has delivered more than 35 million commercial and prototype parts for industries such as aerospace, robotics, automotive, climate tech, and more, helping them innovate faster, free up precious resources, and drive profitable growth. The Information Technology Operations (IT Operations) team provides critical operational support for all Fictiv technology systems. This team covers new IT network setup for LAN/WAN/VPC/VPN, desktop hardware configuration and roll-out, desktop software management, access control, security training, and help desk support. IT Operations collaborates closely with the Cloud Infrastructure Operations team to ensure secure access to Fictiv systems for all Fictiv employees. As an IT Operations Engineer, you will report to the IT Operations Lead role. You will utilize your deep knowledge of IAM, Network Administration, Security Event Management, and SaaS Management to provide critical day-to-day support for Fictiv employees and partners. Success in this role will be measured by implementing strategic initiatives through deliverables on key milestones and providing solutions to complex, cross-functional projects, including systems design, implementation, maintenance, new facility site expansion, employee life-cycle management, and company-wide security best practices. PLEASE NOTE: The person in this role will be required to work from our corporate office located in Oakland, California. This is not a remote position. Areas of Responsibility Integrate and maintain current SaaS platforms into OKTA (including Amazon Web Services, Salesforce, Greenhouse, and more). Develop automation workflows to compile alerting, monitoring, reporting processes to identify security threats. Assist in managing new and current SaaS platforms (including Google Workplace, Zoom, Slack, Kandji MDM, and more). Create and deploy certificates and access controls for company-wide VPN solutions. On-site deployment and maintenance of Networking Services (WAN, LAN, and site to VPC) utilizing Cisco Meraki and FortiGate equipment. Site location deployments of Security and Facility Access Controls using Avigilon and video monitoring equipment. Contribute to the development of IT Operations run-books and knowledge base. Enforce security policies and procedures to ensure SOC 2 compliance. Design, deploy, and manage SIEM solutions for threat analysis and detection Hardware inventory maintenance and tracking, including assignment, provisioning, and surplus tracking. Act as technical expert to assist IT leadership in providing recommendations to improve our security posture Preferred / Minimum Qualifications Associate Degree in Technology, Engineering, Computer Science, or Technical Trade School. Technical certifications (CompTIA Network+ / Security + / Cloud+, Cisco Certified Network Administrator, Okta Certified Professional/Administrator) will be given preference. 4+ years in IT Operations and/or DevSecOps. A solid understanding of SOC 2 compliance. Experience in ISO 27001 or NIST 800 is a plus. 3+ years of experience configuring and administering medium/large-scale Okta SSO environments, including RBAC measures. Experience in administering Google Workspace, Atlassian, Slack, Zoom, Office 365, and other SaaS tools for a company of 400+ employees Physical Demands The physical demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. • While performing the duties of this job, the employee is routinely required to sit, walk, talk, and hear; use hands to keyboard, fingers, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch., • Ability to move heavy boxes/equipment from time to time; must be able to lift up to 50 pounds. About Fictiv Fictiv is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed, and delivered to customers around the world. People who succeed at Fictiv are talented, creative, and driven to achieve professional excellence and support our vision to help product innovators create. We're actively seeking teammates who: • Bring diverse perspectives and experience to our culture and company., • Excel at being part of a strong, empathetic team., • Thrive in an environment emphasizing respect, honesty, collaboration, and growth., • Have an 'always learning' mindset that celebrates learning, not just wins.

Job Description Applied Research Engineer Location: San Francisco, CA Compensation: $200,000 – $250,000 + 0.05% – 0.4% Equity Type: Full-Time Visa Sponsorship: Not Available Priority: High (Hiring Multiple) About the Company • Client is the only AI research lab exclusively focused on video data., • The company combines exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop high-quality datasets that advance video modeling., • Video constitutes 80% of internet traffic and is essential for creativity, communication, gaming, AR/VR, and robotics., • Client has 12 employees and has raised a Series A from Tier 1 investors, including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant., • The company generates significant revenue and partners with top AI labs, delivering cutting-edge datasets at scale. About the Role — Applied Research Engineer As an Applied Research Engineer, you will: • Build high-performance building blocks and large-scale pipelines to process and understand video data with precision at internet scale., • Tackle ambiguous research problems, optimize ML models and APIs, and create end-to-end solutions in computer vision, audio, and text processing domains., • Work with models and APIs, optimizing performance through pre/post-processing, parallelism, pipelining, inference optimization, and occasional fine-tuning., • This role is ideal for engineers who enjoy both research and production engineering, want to push the frontier of video understanding, and can independently own full pipelines from research to deployment. Responsibilities • Develop large-scale video processing pipelines with high precision., • Optimize ML models and APIs using pre/post-processing, parallelism, pipelining, and inference tuning., • Collaborate with customers and external teams to define requirements and iterate on solutions., • Build clean, maintainable code that forms the foundation for research and production systems., • Contribute to end-to-end products, not just individual models. Requirements • Minimum of 4+ years of experience in computer vision or audio processing., • Strong Python skills and hands-on experience with PyTorch or similar ML frameworks., • Excellent communication skills, especially with external stakeholders., • Motivation to work end-to-end on products., • Ability to break problems down from customer impact to technical building blocks., • Willingness to work in-person at the San Francisco HQ. Bonus • Active contributor to open-source projects., • Experience as an early hire at a startup. Green Flags (Strong Matches) • Research background and ability to work independently on problems., • Experience at top tech companies or research labs (e.g., Meta, OpenAI, DeepMind, NVIDIA, Waymo, Google)., • Direct experience in computer vision, robotics, or large-scale video/data processing. Red Flags (Avoid) • Less than 3 years of relevant experience., • Lack of independent research or applied work experience., • No exposure to top-tier tech/research environments. Ideal Companies • Meta, • OpenAI, • DeepMind, • NVIDIA, • Waymo, • Google, • Intrinsic, • David AI Interview Process 1. Pending Approval, 2. Application Review, 3. Initial Screen, 4. Technical Chat with CTO, 5. Technical Interview, 6. On-site, 7. Offer, 8. Hired Benefits & Perks • Competitive compensation and equity, • Health insurance, • Free lunch and dinner at the office Biggest Note • Candidates with similar experience, from top research labs, and graduates from top universities are almost certain to be shortlisted.

Job Description Eluvio is a highly-focused and ambitious team of systems/networking/application/video software engineers, data scientists, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving a large percentage of the world's Internet video and live events. Our team is headquartered in Berkeley, CA, not far from the UC Berkeley campus. Our work extends the state-of-the-art in video engineering, Internet networking, data science, machine learning, and blockchain-inspired security. We welcome highly skilled and creative individuals interested in full-time opportunities across these domains. We not only innovate, we also work closely with the digital content community to validate our solutions and are looking for team members who are both visionary and practical! The Eluvio Content Fabric provides a new and innovative decentralized video processing framework with the ambition of serving a sizable percentage of the world's Internet video with just-in-time and personalized experiences. The Content Fabric foundation provides real-time content routing and just-in-time code execution on ingress and egress. This role is part of the core software development team with focus on the video processing pipeline. This is a specialized area of software development and this position requires in depth experience with video packaging and encoding across all common on-demand and live formats and Internet protocols. Backend work is based on Go, Rust and C, including native and Web Assembly binaries and front-end largely JavaScript and Web Assembly. The team is looking for both senior positions as well as recent graduates with a focus on video engineering. Our main offices are located in Berkeley, CA but, for the right candidate, the team is open to remote work as well. Responsibilities • As part of the core software development team, understand and help shape the vision of just-in-time decentralized video with outstanding quality and real-time delivery, • Develop a variety of real-time video processing and distributed processing software modules, • Research and evaluate feasibility of new features and approaches, • Create and maintain a test and validation framework for quality, accuracy, load and performance, • Help maintain the audio/video pipeline software including routine bug fixes and development of tools for maintaining and troubleshooting a highly available network of nodes for live and on demand contents, • Experience and working knowledge of Go, Rust and C programming, including unit and integration tests, • Ability to develop and debug Go, Rust and C code, • Ability to debug third party software and experience with libav/ffmpeg/gstreamer codebases, • In depth knowledge of media packaging and encoding (MP4/FMP4/CMAF, DASH, HLS, RTP, MPEG-TS, SMPTE 2022, SMPTE 2110), • Strong software development and architecture background, • Min BSc in CSEE or a related discipline and at least 5-7 years industry experience Nice to Have • Applied cryptography, including SECP256-based protocols, proxy re-encryption, threshold ciphers and protocols, • Familiarity and experience with H.264, H.265, AV-1 standards and generally codec standards, • Familiarity and experience with WebRTC, • Full-stack application experience operating and using video tools such as ffmpeg • Market competitive salary, • Employee stock option program, • Medical, Dental, Vision, 401K, • Passionate team members, ambitious vision and a culture of execution, winning and bringing the best of one another

Job Description Eluvio is a highly focused and expert team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security specialists working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through state-of-the-art real-time content routing, just-in-time code execution, and inline frame accurate multi-modal content AI. We are headquartered in Berkeley, CA. Our technology supports ground breaking content distribution and monetization driven by data, and we have formed Eluvio AI Labs to pursue the frontiers of innovation for Content AI. We are hiring for Principal AI Scientist to lead the effort on foundation (Video/Text/Images - multimodal) ML/AI models. This role will drive the organization level mandate for AI/ML research and development, and lead a team to innovate new and breakthrough AI/ML solutions for topics like (not limited to) - video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis. Job duties: • Drive the organization level AI mandate and roadmap and set technical direction ensuring alignment with business goals., • Manage multiple stakeholder’s needs and map product gaps to AI solutions., • Drive the AI team’s initiatives on (not limited to), • Applied Research and Development of novel Video Foundation models for use cases spanning, video understanding, search and generation., • Deployment of production-grade multimodal and/or LLM/VLM models. • PhD in Computer Science or related fields (ECE / Statistics / Math / Physics). Strong Masters will be considered., • Minimum of 7 years of working experience as a machine learning engineer., • Demonstrated ability to build, verify, and deploy state-of-the-art task-specific ML models., • Deep knowledge of machine/deep learning algorithms (e.g., Transformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Scikit-learn, Jax)., • Excellent experience in deployment of machine learning models in production environments, particularly in video/media-focused applications., • Excellent communication skills and ability to collaborate effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment., • Strong technical expertise in system design and software development. Proficiency in both high-level languages (e.g., Python, JavaScript, Bash) and system programming languages (e.g., C/C++/Go/Rust)., • Demonstrated knowledge in API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems. Medical, dental, and vision insurance. Employee stock equity program Opportunity to work in the leading company in Decentralized Content AI, Distribution, and Monetization with an amazing team of experts and to impact the world with your innovation.

Job Description Software Engineer, Platform San Francisco or LA or Las Vegas Skillz is on a mission to bring out the best in everyone through competition. Building the future of entertainment, Skillz is accelerating the convergence of sports, video games and media for an exploding mobile-first audience worldwide. The company’s platform empowers mobile game developers and players with democratized access to fun, fair and skill-based competition for real prizes, shifting the paradigm to make competition accessible to anyone, anywhere with a mobile device. Skillz helps developers build multi-million dollar game franchises by turning content into competitive social gaming properties for the world’s 2.6 billion gamers. The company has already worked with 13,000 game developers, leveraging its patented technology to host over 800 million tournaments for 18 million players worldwide. Skillz has been recognized as one of Fast Company’s Most Innovative Companies and CNBC Disruptor 50 (for the second time). In 2018, Skillz was listed as one of Forbes’ Next Billion-Dollar Startups and Entrepreneur Magazine’s 100 Brilliant Companies. In 2017, Inc. Magazine ranked Skillz the No. 1 fastest-growing private company in America. The company is backed by leading venture capitalists, media companies, and professional sports luminaries, ranging from Liberty Global, Accomplice, Wildcat Capital, Telstra Ventures, and a founder of Great Hill Partners to the owners of the New England Patriots, Milwaukee Bucks, New York Mets, and Sacramento Kings. About Skillz: Skillz is the leading mobile games platform dedicated to bringing out the best in everyone through competition. As the first publicly-traded (NYSE: SKLZ) mobile esports platform, Skillz has pioneered the future of the gaming industry, by accelerating the convergence of sports, video games and media for an exploding mobile-first audience worldwide. The Skillz platform empowers developers to create multi-million dollar franchises by enabling social competition in their games. Leveraging its patented technology, Skillz hosts billions of casual esports tournaments for millions of mobile players worldwide, with the goal of building the home of competition for all. Skillz has earned recognition as one of Fast Company’s Best Workplaces for Innovators, CNBC’s Disruptor 50, Forbes’ Next Billion-Dollar Startups, Fast Company’s Most Innovative Companies, and the number-one fastest-growing company in America on the Inc. 5000. About the role: As a Software Engineer at Skillz, you’ll use your technical expertise to lead the development of complex, multi-disciplinary applications. From large-scale consumer facing applications, to entirely new technologies and products, Skillz’s Engineers support and power the platform that makes eSport to everyone possible. What you'll do: • Develop complex, highly available, distributed, cloud-based solutions, and maintain its high level of quality software, • Develop industry leading technology to enable competitions, tournaments, and social features for players, spectators and streamers around the world, • Consistently drives very high impact projects to completion that include components required by teams across the organization, • Collaborate with teammates who care about building great products as much as you do Qualifications • Professional Software Engineering Experience (5+ years) with background in object-oriented programming and experience with cloud providers (AWS, Azure, GCP, or other). Experience designing and optimizing MySQL or other RDBMS databases as well as nosql technologies., • Customer/Product focused thinking and understanding. Able to balance between correcting technology debt while still continuously delivering value to customers. Partnership mindset., • Problem solver who can adapt to changing business needs., • Demonstrates responsibility for the quality of your team's work, while nurturing this same value in their team., • Outstanding knowledge of public cloud providers and emerging service architectures., • Have the ability to work in a dynamic agile development environment, as members of the team play a role in the entire life cycle of development., • Understands and believes in our mission of making gaming better and eSports for everyone., • Be productive, generates results, not work. Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status.

Job DescriptionWhat you’ll do We’re looking for a software engineer (employee #5) who takes pride in their craft and is highly motivated to join us in San Francisco to build excellent software together. Some things you’ll work on: • Build new product features and experiences end-to-end, everything from database models to API endpoints, video infrastructure, and UI components for our web, desktop, and mobile apps, • Build and own product foundations (AI-powered outcomes, search, transcription, on-device recording/streaming, app and API performance, automations), • Have experience doing the above in previous roles or side projects and love to build, • Take pride in your work, • Act with urgency and ownership, • Find building exceptional software fun, • Pay high attention to detail and are curious about how great products work, • Are self-motivated, • Feel a visceral sense of discomfort when things don't move as fast as you feel they shouldAbout the interview, • Initial screen (30 minutes), • First online technical screen (1 hour), • Second online technical screen (1 hour) Health benefits through Thatch ($1,000 monthly credit) 401(k) matching with 100% match up to 4% of compensation

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. About the Role We're looking for a Founding Machine Learning Engineer to build the core infrastructure powering high-performance inference for generative media models, including diffusion and transformer architectures. You’ll be instrumental in designing low-latency, high-throughput systems that serve state-of-the-art models in real time. As an early technical leader, you'll shape both our systems and culture from day one. What You’ll Do • Architect and implement the inference engine for diffusion transformer-based generative models, • Optimize model execution across the stack — memory, compute, and networking, • Drive performance engineering to minimize latency and maximize throughput, • Work closely with research to productionize new generative techniques and model variants, • Build the tools, services, and monitoring that make these systems robust and scalable, • 3+ years of experience building high-performance ML or systems infrastructure, • Deep fluency with PyTorch and production-grade Python, • Strong understanding of GPU systems (CUDA, memory hierarchies, scheduling, etc.), • Experience optimizing inference for generative models (e.g., diffusion, transformers), • Bonus: Familiarity with Triton, CUDA, TensorRT, or model parallelism techniques, • Strong Python + PyTorch skills, • Proven experience optimizing inference for generative models, • Deep systems knowledge, especially GPU performance tuning, • Competitive SF salary and foundational team equity

Job DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org. About the Role As a Senior Mechanical Engineer in the Multiply Labs team, you will apply your engineering expertise and technical leadership skills to design consumable components for complex automated machinery involved in the manufacturing of novel pharmaceutical products. This includes the design of robotic cartridges and adapters that enable robotic interfacing with commonly used consumables in cell therapy manufacturing (fluid transfer bags, bioreactors, cell isolators, reagent vials, etc). You’ll be working directly with a cross functional hardware and software team on designing and building the current and next generations of Multiply Labs’ robotic systems. This ranges across designing and selecting components for our robotic system, determining high level design goals and objectives, building prototypes and taking them to production. You’ll succeed in the role if you can iterate and optimize design using first principle engineering approaches. We have a mix of exciting projects running simultaneously in various phases of maturity. You will need great documentation skills and ability to organize thoughts and ideas into actions in order to drive decision making conversations on major projects while coordinating with colleagues. Responsibilities • High level ownership of robotic consumable assembly design including:, • Leading concept ideation phases using first principles knowledge, • Detailed design work in CAD, including modeling and creation of detailed drawings, • Investigation of applicable technologies and off-the-shelf components, • Analysis of designs including loads, tolerance stack ups, manufacturability, and material compatibility with bioprocess, sterilization, and cleaning., • Prototyping, material selection, testing, and iterating designs, • Close collaboration with Biology, Product, and Robotic Software teams to ensure your designs meet requirements for the bioprocess and the robotic system, • Generation of supporting design documentation and manufacturing instructions, • Oversight in a transition to production manufacturing for completed design, • Lead technicians in pilot builds of your consumable prototypes in our in-house clean room to test designs in robotic cell runs, • Responsibilities may also include some machine and robot end effector design.Qualifications, • Extensive mechanical design experience developing bioprocess consumables and/or medical devices from concept to production, including starting from a ‘blank sheet’., • Proven ability to solve complex technical problems by breaking them down into simpler pieces and executable tasks., • Extensive knowledge of mechanical components, common engineering metals, plastics, joining methods, part fabrication methods, and finishing operations., • Extensive experience optimizing manufacturability of high volume assemblies using DFM/DFA principles, • Experience transferring designs to external suppliers and contract manufacturers for production, • Extensive experience working in 3D CAD software, • Extensive experience with injection molded part design, • Working knowledge of GD&T standards, • Bachelors of Science in Mechanical Engineering or related field, • 5+ years engineering experience in a relevant/similar fieldNice to Haves, • Experience working in FDA and/or EMA regulated industries, • Familiarity with medical/biopharma material selection for sterile, single-use assemblies, • Onshape experience, • Hands on experience with machine shop and prototyping toolsTravel, • While our headquarters is located in San Francisco, CA, this position will require up to 10-20% domestic and international travel. Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA/FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job Description IT Administrator CA | GA | NY | CR About Sherwood Design Engineers Sherwood is a civil and environmental engineering firm that is committed to investing in and embracing people, communities and the environment. Our team has delivered net zero energy and net zero carbon systems, net positive water systems, resilient coastlines, natural resource protection, green streets, living roofs and more for thousands of clients in the region and across the globe. We specialize in sustainable infrastructure, water management strategies, green building design, and systems based solutions for infrastructure and landscapes. Our focus is on the conservation and management of the consumption of all site resources — carbon, energy, water, and waste. We’ve worked on over thirty award-winning projects, and our work has been published locally and internationally. Founded in 2003, our award-winning projects include Hudson Yards in New York (the largest private real estate development in U.S. history), San Francisco Better Streets Plan, Greater New Orleans Urban Water Plan, and revitalization of the iconic waterfront Brooklyn Bridge Park. Our mission is to engineer an environmentally and socially regenerative planet. Will you join us? INFORMATION TECHNOLOGY (IT) ADMINISTRATOR We have an immediate need for an exempt, full-time IT Administrator to work at our San Francisco headquarters, Napa, or Petaluma. The IT Administrator will assist with various IT duties under the direction of the Director of Technology and must be able to support all staff, regional offices, subtenants, studios, and subsidiaries. Essential Functions: • Oversee the provisioning and deployment strategy of laptop and IT peripheral assets across all company locations to ensure operational readiness and standardization., • Manage the end-to-end lifecycle of laptop and IT peripheral hardware configuration and issuance for all staff members and remote sites, ensuring compliance with company security policies., • Utilize specialized technical knowledge to diagnose, analyze, and resolve complex, high-impact technical issues, often requiring independent judgment and advanced problem-solving techniques., • Oversee IT Onboarding and Offboarding procedures, ensuring the security, compliance, and efficiency of user access and asset management., • Serve as a subject matter expert for enterprise-level peripherals and conferencing solutions, advising staff on advanced features and developing user training and best practices, • Manage in-person organization, inventory management, and secure storage of IT equipment and supplies, including making purchasing recommendations and documenting asset lifecycle, • Execute the technical logistics of all desk and office relocations, ensuring minimal disruption to operations and optimal setup of the network and computing infrastructure., • Assist with the development of standard operating procedures, • Perform proactive routine maintenance and system checks, • Create and organize IT documentation, • Assist staff with use of Printers, Plotters and Scanners, • Assist staff with remote conferencing solutions, • Assist with access control system, alarm system, and video monitoring solutions, • Maintain confidentiality and security of sensitive company and client information, • Works well and communicates effectively with others, • Operate a wide variety of computer hardware and software as well as standard office equipment and quickly learn the use of new technologies and applications, • Ability to analyze and solve problems, • Ability to read, interpret and collect technical documents, • Ability to prepare reports, correspondence and memos, • Maintains accurate and complete records, • Works independently under general supervision, uses initiative and good business judgment, • Ability to plan, organize, and prioritize, multi-task and use time effectively, • Ability to read and interpret written information, and follow instructions, • Ability to perform in a high pressure, quick and dynamic environment, • Must clear a background check, • Bachelor’s degree and minimum 2 years working IT experience or 5+ years of experience in the IT industry, • Must possess excellent written and verbal communication skills, • Working knowledge of Windows and Mac operating systems, • Working knowledge of Microsoft applications (Word, Excel, Access, Visio) OS • Windows 10 & 11, • Windows Server 2016+, • Active Directory management, • MacOS 15 Sequoia Networking • TCP/IP Networking, • Beginner Firewall management Software • Installing and configuring named-user and network licensing, • Working knowledge of remote monitoring and management solutions Programming • PowerShell, • Open office-noise level in the workspace is generally moderate, • Travel by flight and/or vehicle to remote offices Physical Demands: • Frequently required to sit and use a computer, • Regularly required talk and hear, and stand and walk, • Own a part of the firm with ESOP eligibility after one year, • Flexible working - with every other Friday off, • Competitive Health plans, including PPO and HMO options, Dental and Vision plans, • Learning and Development stipend to use as you see fit, • Generous PTO and 8 paid holidays, • Automatic 401k enrollment, • Fun team events, lunches and happy hours to get to know colleagues outside of work, • A tangible opportunity to truly help the environment! Compensation The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Sherwood Design Engineers, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,000 to $135,000 The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Powered by JazzHR 5yJzdhB8iJ

Job Description Our 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. At our firm, we believe the most impactful safety research will require access to frontier AI systems. The most powerful AIs will operate not just on text but also other modes of data, including images, video and audio. Such models have potential to augment human creativity and productivity in exciting ways. However, we are very concerned about the risks introduced by powerful multimodal AIs. The Multimodal team builds and studies multimodal models to better understand and mitigate these risks. Our team works across many parts of a large stack that includes training, inference, system design and data collection. Some of our core focus areas are: Foundational Research We develop new architectures for modeling multimodal data and study how they interact with text-only models at scale. Building Infrastructure We work on many infrastructure projects including: • Complex multimodal reinforcement learning environments., • High-performance RPC servers for processing image inputs., • Sandboxing infrastructure for securely collecting data. Data Ingestion We are more interested in running simple experiments at large scale than smaller complex experiments. This requires access to very large sources of multimodal data. We develop tooling to collect, process and clean multimodal data at scale. Because we focus on so many areas, the team is looking to work with both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer curve to apply. You may be a good fit if you: • Have significant software engineering experience, • Are results-oriented, with a bias towards flexibility and impact, • Pick up slack, even if it goes outside your job description, • Enjoy pair programming (we love to pair!), • Want to learn more about machine learning research, • Care about the societal impacts of your work Strong candidates may also have experience with: • High performance, large-scale ML systems, • GPUs, Kubernetes, PyTorch, or OS internals, • Language modeling with transformers, • Reinforcement learning, • Large-scale ETL The expected salary range for this position is: Annual Salary: $230,000—$400,000 USD Logistics 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. Compensation and Benefits* Our compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits - The following benefits are for our US-based employees: • Optional equity donation matching., • Comprehensive health, dental, and vision insurance for you and all your dependents., • 401(k) plan with 4% matching., • 22 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Stipends for education, home office improvements, commuting, and wellness., • Fertility benefits via Carrot., • Daily lunches and snacks in our office., • Relocation support for those moving to the Bay Area., • This compensation and benefits information is based on our good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. How we're different We believe that the highest-impact AI research will be big science. At our firm, 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 joining our firm, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! We are 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.

Job DescriptionAbout Multiply LabsMultiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. Open Applications at Multiply LabsAt Multiply Labs, we're not just building robots; we're building the future of precision medicine to ensure every patient has access to life-saving therapies. This ambitious goal requires talent that is equally forward-thinking, whether you're a roboticist, engineer, or a bioprocess expert. We know that groundbreaking talent doesn't always wait for a job title. If you are relentlessly passionate about the intersection of robotics and biopharma, but don't see an open role that perfectly matches your unique expertise, we still want to hear from you. The 'Why': Fueling the Future Talent Pipeline We deeply value the proactive interest from individuals who see our mission - building the world’s best robots, and them to make the most advanced therapies widely accessible. Establishing a robust talent community is crucial for us to rapidly scale the robotic future of bio-manufacturing. The 'How': Connect with Our Team Directly This General Application is your direct channel to express your profound interest in joining us. It ensures your unique skills and passion are captured by our recruiting team for current and future roles that may not be publicly posted yet. What to Expect: Our Follow-Up Process Due to the high volume of interest we receive, you may not receive an immediate, personalized reply to your General Application. However, rest assured that your profile is critical to us. Our recruiters and relevant hiring managers review this pipeline on a monthly basis to identify potential fits for upcoming roles. The Call to Action: Be Proactive, Stay Connected We encourage you to use the custom fields in this application to detail your specific expertise and the kind of impact you want to make at Multiply Labs. And remember, new opportunities open up constantly as we scale. For immediate roles, please always check our main Careers Page for specific, active job postings.Benefits • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening January 2026). About the Team We're problem-solvers and self-starters, working at a fast pace to design solutions with our customers and users in mind. Here, you'll work across teams to dig deep into impactful projects that are changing the way people get their tasks done and enjoy opportunities to advance your career in a diverse, inclusive environment. About the Role: Taskrabbit is looking for an experienced Senior Cloud Infrastructure Engineer to drive the next phase of our Platform Modernization ("PlatMod") initiative. In this high-impact role, you won't just keep the lights on; you will build the next generation of infrastructure from scratch to support both Taskrabbit and Dolly. We are moving fast to decommission legacy tooling (i.e Jenkins) in favor of a modern, cloud-native stack (Kubernetes, ArgoCD, Crossplane). You will be a hands-on owner—taking vague requirements and turning them into resilient, scalable solutions while advocating for your technical designs to the wider engineering organization. As a core member of a lean, collaborative team, you will also play a critical role in stabilizing our environment. You will participate in the on-call rotation, drive incident response, and implement the fixes necessary to ensure our services remain highly available (99.9%) for our users worldwide. What You'll Work On: • Build and maintain new modern infrastructure such as Kubernetes, new CI/CD tools and assisting with application teams on adapting., • Building and maintaining CI / CD pipelines from scratch for testing and releasing configuration and software., • Monitor and resolve issues in all environments using tools such as DataDog, PagerDuty, and AWS logs., • Engage in capacity planning and demand forecasting, anticipating performance bottlenecks, and scaling the environment as needed using DataDog and other tools., • Design and implement a zero-downtime solution to accomplish a highly available service (99.9%)., • Ensure systems are secure against cyber threats and implement fixes for Security vulnerabilities., • Automate tasks and develop tools to increase engineering efficiency and visibility., • Design and implement disaster recovery (DR) between different regions in cloud providers such as AWS., • Manage web domain and certificates., • Troubleshoot production and testing environment issues, including performance and function issues., • Provide support to the organization through on-call, resolving issues and driving infrastructure changes., • Identify, define, and document system requirements and recommend solutions to management., • At least 5+ years of experience in the Infrastructure and DevOps Space., • Experience with build automation and configuration management tools (e.g. Ansible, Puppet, Chef.), • Strong knowledge of the Amazon Web Services (AWS) ecosystem and other core AWS technologies, ElasticSearch Service, RDS, WAF, CloudFront, Kubernetes etc., • You have worked with common infrastructure tools like Docker, Terraform, Helm, GitHub Actions, and ArgoCD., • Experience with a microservice architecture running in containers (Docker or other containerisation technology)., • Experience supporting 24x7, high-availability internet application environments that include web, application, and database servers and load balancing systems., • Experience working with a product that has end-users., • Bachelor's degree or higher in Computer Science, or equivalent experience., • AWS Certification is a plus., • Excellent written and communication skills., • A strong ownership attitude and a track record of taking responsibility for problems and pushing through to resolution., • Software development background is a plus. The base pay range for this position is $147,000 - $196,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Scale multimodal AI/ML systems for video understanding * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Build the highest impact, not the flashiest, libraries and services You May Be A Good Fit If You Have: * 2+ years of relevant industry experience * Strong Python coding skills * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) * Excellent problem-solving skills and attention to detail Strong Candidates May Also Have Experience: * With at least one statically typed language (we use Golang) * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Working with FFmpeg or other high performance image/video processing libraries Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $170K - $280K

Job Description Mochi Health's mission is to be the discovery layer of healthcare. We are building a platform that makes it easier for patients to find the right providers, access the right medications, and take control of their health with transparency and trust. Over the past few years, we have experienced rapid growth by combining operational excellence, clinical expertise, and innovative technology to deliver care that is more human, intuitive, and effective. From pharmacy pricing transparency and personalized medication management, to long-term medical record access and community-based chronic illness support, Mochi is creating a new model of care that empowers patients, providers, and pharmacies alike. We believe the future of healthcare is personal, and we are building the technology to power it. At Mochi Health, you will join a team that values inclusivity, collaboration, and bold thinking, and you will have the opportunity to do the most meaningful work of your career. $250,000 - $300,000 Full-time / Onsite (5 days/week) About The Role As a Staff Backend Engineer at Mochi Health, you'll be responsible for the core systems and data channels that facilitate a world-class experience for our customers, pharmacy technicians and many more team members who interface with our proprietary platform each and every day. You will work with talented engineers, building out cutting-edge systems from Machine Learning path finding algorithms to hand-crafted video encoding protocols, all in service of providing deeper capabilities and insights to the customer experience. Take advantage of developments in artificial intelligence to bring innovative and exciting new features to our customers. These are just a few of the intriguing challenges you might be faced with at Mochi Health. What You'll Do • Lead the development, optimization and expansion of our core backend services. (Typescript/Python), • Drive best practices in performance, security, and scalability as we scale rapidly over the next 6/12 months., • Collaborate closely with Product, Design and Frontend teams to deliver seamless, intuitive user experiences., • Own key architectural decisions, mentoring engineers, and elevating back-end excellence across the company., • Build out data-driven services and systems to bolster the customer experience., • Influence engineering culture, fostering innovation and technical ownership within the team.Who You Are, • Startup mindset: you thrive in fast-moving environments, take ownership, and love solving problems at scale., • 7+ years of back-end development experience, with deep expertise with Typescript/Python., • Experience leading technical initiatives and shipping scalable, high-performance systems to support web and mobile applications., • Strong knowledge of modern back-end tooling. (ESLint, CI/CD pipelines), • Fluent in bash scripting and linux/unix commands, • A passion for creating fast, optimised and elegant solutions to difficult problems., • Expertise with AI code generation tools 🥗 Daily Meals and Espresso Bar - Breakfast, lunch, and dinner every weekday. Our on-site barista keeps the espresso and matcha flowing all day 💰 Pre-Tax Commuter Perks - Save on transit and parking through pre-tax commuter benefits 💸 Top-of-Market Compensation - We offer competitive salaries along with generous equity packages so you can share in the success you help create 💣 Profitable and Rapid Growth - We're scaling fast, with financial discipline and long-term vision. No VC constraints, just sustainable momentum and smart decisions 🚀 High-Impact Work - Help shape the future of digital healthcare. Your work here directly improves lives and scales nationwide 👩️‍💻 World-Class Team - Collaborate with teammates from Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal measure ✨ Comprehensive Benefits - 401(k) with match, generous time off, life insurance, and high-quality medical, dental, and vision plans 💊 Mochi Health Membership – We cover your monthly subscription fee so you can experience the same care as our patients (medications not included) 🌴 Time to Recharge – Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive 🧘 Wellness First – From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority 🎉 Team Socials and Community - We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn't hurt either 📍 Downtown SF HQ - Our San Francisco office is just steps from BART, Muni, and great food. It's designed for deep work and casual collaboration -- The base salary for this full-time position ranges from $250,000 to $300,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location. #LI-Onsite #LI-AK1 Workplace Policy Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve. For office-based roles, the standard schedule is Monday through Friday, 9:00 a.m. to 7:00 p.m. Actual hours may vary depending on business needs and role responsibilities. All employees receive meal and rest breaks in accordance with applicable state and local laws. For designated remote roles, this in-person policy does not apply. Equal Opportunity Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Mochi Health's Candidate Privacy Notice here. Accommodations Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. If you need any assistance or accommodations due to a disability, please contact us at .

Job Description About Vumedi: Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia. What you'll do: We're looking for a Principal Engineer / Product Architect to lead the next evolution of VuMedi's product architecture and technical direction. This is a hands-on, high-impact role - shaping how millions of doctors discover, learn, and collaborate through intelligent, scalable systems. You'll be both architect and builder, working directly with the CTO and engineering leaders across our US and Croatia teams to bring ambitious ideas from prototype to production. In this role, you will: • Architect the future of VuMedi's platform — from scalable video systems to AI-powered content discovery and personalized learning experiences., • Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform how doctors interact with knowledge, surface insights, and discover content., • Work closely with Product, Data, and AI teams to build, deploy, and monitor intelligent services (classification, search relevance, personalization, summarization)., • Define architectural standards across backend, frontend, and infrastructure layers — ensuring reliability, maintainability, and scalability., • Partner with engineering leadership to drive system migrations and modernization (Python/Django backend, React frontend, AWS infrastructure)., • Mentor engineers across pods and raise the technical bar through design reviews, prototypes, and shared best practices. Who you are: • 6+ years of experience building and scaling software systems, ideally in consumer, data, or AI products., • Proven success as a Principal Engineer, Staff Engineer, or Architect leading major system designs end-to-end., • Strong proficiency in Python (required); deep familiarity with Django or other modern Python web frameworks., • Frontend experience with React and modern JavaScript/TypeScript stacks., • Expertise in designing distributed systems and cloud architectures on AWS (EC2, Lambda, S3, CloudFront, ECS, RDS, etc.)., • Experience with LLMs, AI agents, or AI-enabled workflows — building, integrating, or orchestrating intelligent systems., • Strong understanding of data modeling, API design, caching, and asynchronous event-driven systems., • Passion for hands-on prototyping and bridging product ideas with technical feasibility., • Build technology that matters: Your work directly impacts how doctors learn and make decisions that save lives., • Lead with impact: Partner directly with the CTO to shape technical strategy, architecture, and innovation roadmap., • Build with AI: Work on applied LLM systems — from intelligent search to AI-driven content agents., • Own your craft: End-to-end responsibility for building systems that scale globally and power mission-critical workflows. Learn more about Vumedi

Job Description Are you a talented, high-caliber engineer looking to join a collaborative team where you can make a massive impact on a growing business? Do you take pride in building great software using modern technologies? Rockbot is building the future of streaming media in businesses, and this role will play a key part in our Ads Pod — the team responsible for transforming how ads are delivered, targeted, and measured across our platform. You'll help shape scalable systems that power dynamic ad experiences for in-location media, driving value for both our customers and brand partners. Engineering is a tight-knit group in which everyone has an impact on our company's success. We're looking for a self-motivated individual who thrives in this type of environment. The Rockbot team is committed to creating uniquely curated brand opportunities by changing the way content is experienced through our platform in businesses of every size and shape. We are technologists, music lovers, and content creators all focused on producing the most amazing customer experience possible — and we're having a great time doing it! If this sounds compelling, let's talk. What You'll Do: • Architect and implement scalable solutions to support a growing number of users and advertising campaigns., • Develop and maintain high-performance ad-serving systems to ensure reliable ad delivery., • Build innovative ad products to simplify ad operations and streamline sales workflows., • Collaborate with internal data platform teams to prototype and validate in-house tools for data analysis, algorithm automation, and data-driven decision-making., • Collaborate with other teams and third-party services to seamlessly integrate the ad serving pipeline with relevance, targeting, bidding, and asset serving systems., • Develop scalable data pipelines and systems to support ad measurement, ROI analysis, and revenue attribution., • Broad knowledge of ad tech and the advertising landscape, programmatic advertising, and digital marketing trends, • Good product sense and prior experience designing and launching product features, • Exceptional ability to work with and refactor legacy code effectively, adapting to frequent requirement changes., • Exceptional skill in debugging production issues, especially for ad impressions on remote devices., • Exceptional familiarity with distributed backend systems in cloud environments, including databases, caching, and application code., • Proficiency with integrating third-party software and REST APIs, even with challenging documentation or systems., • Proficiency in JavaScript across legacy and modern Chromium browsers., • Proficiency with SQL, data warehousing concepts, query optimization, data streaming, and role-based access control., • Strong algorithmic thinking ability, particularly for developing ad fill optimization strategies., • Ability to rapidly translate high-level product requirements into concrete full-stack prototypes and solutions., • Familiarity with the VAST specification and client-side ad SDKs (e.g., PAL SDK, OM SDK, IMA SDK)., • Familiarity with video streaming/playback technologies (including on-device) and Server-Side Ad Insertion (SSAI). Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable. From independent local businesses to large national brands - across nearly every industry, including restaurants, bars, retailers, and more- Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information, visit . Compensation: Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. The compensation band for this role is $150K - $205K, plus equity and benefits for all team members. Our Values: • Drive: We pursue our mission with relentless tenacity, passion, and optimism and inspire those around us to do the same. We love the journey and are on offense all the time. Yesterday was good enough for yesterday, but today we have to do even better., • Accountability: We take ownership of our promises, responsibilities, behaviors, and products, and we expect the same of others. Standing behind our mistakes, communicating honestly, and making things right creates trust and strong relationships., • Curiosity: We are hungry to learn and continually deepen our knowledge, skills, and understandings. We have a growth mindset and are intellectually curious. We challenge our beliefs and seek feedback and insights from others. The "Why" and "How" always matters., • Empathy: We embrace that no two people or businesses are the same. We strive to understand others as deeply as possible and feel their pains and passions., • Ingenuity: We work hard but we think smart. We bring creativity, technology, and practicality together to solve tough challenges.

Job 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: As a Developer Advocate at Crusoe, you will be the bridge between our groundbreaking cloud platform and the community of AI developers and ML engineers who are pushing the boundaries of what's possible. You won't just be promoting a product; you'll be championing a new paradigm of sustainable computing. Your core mission will be to empower our users to succeed on Crusoe Cloud. You will create resources, build community, and act as the voice of the developer inside Crusoe, ensuring our product evolution is directly informed by user needs. This is a unique opportunity to build a developer relations program from the ground up at a company with a powerful and compelling story. What You'll Be Working On: * Educate & Empower: Create compelling technical content—including blog posts, tutorials, documentation, video guides, and sample applications—that helps developers get started and succeed with Crusoe Cloud for their AI/ML infrastructure and managed services workloads. * Engage the Community: Foster a vibrant and inclusive community of users. Engage with developers on platforms like Discord, Slack, GitHub, Stack Overflow, and technical forums to answer questions and develop a deep understanding of the needs and challenges of AI infrastructure and ML engineer personas. * Be the Voice of Crusoe: Identify and represent Crusoe at conferences, meetups, webinars, hackathons, and workshops. Deliver engaging technical presentations that showcase the power and environmental benefits of our platform. * Market Intelligence: Track AI developments across cloud infrastructure, MLOps and managed services and convert them into insights that shape Crusoe Cloud’s brand and offerings. * Content Leadership: Produce high-quality, timely content (white papers, newsletters, dev blogs, and social posts) aligned with emerging AI trends and Crusoe Cloud’s unique perspective. Develop compelling narratives, demos, and technical content (“how to” guides, API documentation, open source projects, tutorials, video guides, sample apps, etc.) that highlight the capabilities and benefits of Crusoe Cloud. What You'll Bring to the Table: * 5+ years of experience working at the intersection of engineering and marketing, ideally in a DevRel, technical marketing, or community role. You know how to build trust with developers and communicate technical value credibly. * You can establish credibility and engage with both AI infrastructure engineers and with code-first, "bring-your-own-tools" ML engineers. * Strong proficiency in Python and hands-on experience with at least one major AI/ML framework (e.g., PyTorch, TensorFlow, JAX). * Experience working with cloud computing platforms (e.g., AWS, GCP, Azure) or Managed AI solutions (Together, Fireworks, BaseTen, etc.) and a solid understanding of cloud infrastructure concepts. * Exceptional communication skills, both written and verbal. You can explain complex technical concepts to a diverse audience in a clear and engaging manner. * You’re equally comfortable writing a whitepaper, recording a Loom explainer, drafting a tweet thread, or launching a developer newsletter. * Excellent presentation, interpersonal, and communication skills and experience making complex technical concepts accessible and understandable. * A genuine passion for building communities and helping developers solve problems. You’ve contributed to developer communities, organized events, or created programs that help technical audiences connect, learn, and build together. * A self-starter attitude with the ability to manage your own projects and priorities in a fast-paced environment. * Passion for learning and working with new technologies * Ability to travel up to 25%. 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 disability * Teladoc * 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 * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $200,000 - $240,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.

Job Description Founding Software Engineer Please read in full: As a founding engineer, you’ll work across our entire stack to build and scale our contextual advertising network for AI tools. You’ll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: • Salary Range: $150,000 – $300,000 USD, depending on experience and scope of contribution, • Equity: Ranging from $100,000 – $300,000 USD based on experience and contribution, • Location: Remote to start. We plan to establish an office in San Francisco, California, where the role will transition to on-site.Company Background, • Gravity is an advertising network for AI chat, • Enables advertisers to embed ads in relevant conversations, • Ads write themselves using AI, • Launched 3 months ago, • 16M users on installed platforms, • $500M/year advertiser spend waiting to onboard, • Delivered impressions scaling 10x MoM as we connect supply with demand, • Building and scaling core infrastructure, • Solving novel technical and product challenges with high ambiguity, • Driving technical direction with high ownership and autonomyWhat We’re Looking For, • Solving problems with the end user in mind, • Full-stack development experience, • Strong problem-solving ability in ambiguous technical/product areas, • Experience building and scaling distributed systems, • Practical experience with LLMs and AI infrastructure, • Proven track record of ownership and autonomous execution, • Strong communication skillsWhy Join Us, • Solve cutting-edge advertising challenges with AI, • Shape the future of generative advertising, • Operate in a flat hierarchy with high ownership and autonomy, • Competitive compensation and equity, • Be part of a small, talented, fast-moving founding team in San FranciscoInterview Process, • Initial screening with CEO, • 45-minute technical interview, • Stock Option Plan

Job DescriptionJob 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+ YOE 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 don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems. Responsibilities * 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 our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training. * Ensure that our 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. Requirements: * 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. * This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability. * 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 aligning with video generation needs. * Strong problem-solving and communication skills, given the need to collaborate with diverse teams. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PCOFjlVbHN

Job DescriptionCompany Description • Application Opening: 11/21/2025, • Application Filing Deadline: 12/19/2025 *Extended, • Annual Salary: $190,424.00 - $205,036.00 The duration of the appointment shall not exceed 36 months. WHO ARE WE? San Francisco Public Utilities Commission (SFPUC) Headquartered in San Francisco, we have 2,300 employees operating across eight counties serving more than 2.7 million customers in the San Francisco Bay Area – 24 hours per day, 365 days per year. Our Mission: To provide our customers with high quality, efficient, and reliable water, power, and wastewater services in a manner that values environmental and community interests and sustains the resources entrusted to our care. Our Vision: We are an innovative utility leader, recognized for excellent results in service, safety, stewardship, and inclusiveness. We are an award-winning and industry-leading utilities organization committed to our customers, community interests, and the environment. To learn more about our organization, please visit our website at . We are proud of our infrastructure and programs, but most importantly, we value our highly qualified and dedicated workforce which ensures that this vision becomes a reality. To learn more about working at the SFPUC, visit our career site at Job Description Under general administrative direction of the Regional Project Manager for the Hetch Hetchy 10-year Capital Improvement Program (HCIP), the Project Manager (PM) I will be the lead in implementing the above technical and complex San Joaquin Pipeline projects. The combined budget for planning, design, and construction of these projects is approximately $108.7M. The scope of work of the individual project is listed below. SJPL Valve and Safe Entry Improvements (Project #10035575) – Phases 2B&C (a subproject) The San Joaquin Pipelines (SJPL) which convey drinking water to the Bay Area have been in service ranging from 13 to 93 years. SFPUC staff and contractors need to enter the pipelines regularly to perform conditional assessments, maintenance, and repair work. The primary objective of the project is to provide reliable isolation to safeguard the personnel working inside the pipelines. SJPL Valve Remote Control and Monitoring The project objective is to provide remote supervisory monitoring and control over SJPL System, including in-line and cross-over valves. This project include design, procure, and construct new SJPL remote supervisory controls that would enable remote operation of valve actuators from the control room located in Moccasin, CA. Essential Functions: The Project Manager will be responsible for overseeing the project schedule, ensuring smooth progression through key phases: planning, environmental, design, permits and right of way acquisition (if required), contracting, construction, and closeout. During planning, Hetch Hetchy Water and Power defines the project’s overall performance requirements, which are explored through evaluated design alternatives. The Project Manager collaborates with project team members and internal stakeholders to refine the project scope before advancing to subsequent phases. The tasks involved in the projects are as follows: • Project Management: Manage project budget, schedule, and scope., • Needs Definition, Condition Assessment. Alternatives Identification: Define the project needs, assess the conditions of all existing pertinent facilities, and identify feasible alternatives to address project needs. Furthermore, prepare Conceptual Engineering Report at a 10% design level for the recommended alternative. Some of the projects have advanced further than this task, and so this work will not always be required., • Environmental Review: Conduct environmental studies, evaluate project alternatives, and, if necessary, prepare draft and final Environmental Impact Report (EIR) and Environmental Impact Statements (EIS) for circulation and public hearings. Pursue negative declaration or categorical exemption, if feasible., • Engineering Design: Develop 35%, 65% and 95% design documents and cost estimates, as required for the design; 100% construction documents (plans and specifications) for the project for bidding or contractor procurement., • Bid and Award: advertising the construction contract, evaluating bids, seeking SFPUC Commission approval to award the contract, and issuing Notice-to-Proceed., • Construction Management: Provide oversight, inspections, and coordination of construction activities performed by the contractor. Nature of the work: This is a full-time position either based in Moccasin, CA, or San Francisco Public Utilities Commission headquarters at 525 Golden Gate Avenue, San Francisco but all the PM-1 project assignments are in the Hetch Hetchy region. If the candidate selects his/her primary office to be the SFPUC headquarters, the candidate is required to commute, at least 1 day per week, to the HCIP site office located in Moccasin, California, and/or periodically visit, as needed, to remote project jobsites for the purposes of: • Managing the projects assigned,, • Getting familiar with the project locations,, • Escorting other City staff, consultants, or stakeholders to visit the sites,, • Attending important meetings with staff of Hetch Hetchy Water and Power (HHWP),, • Attending workshops with HHWP and other design team members,, • Attending progress, change order, schedule/cost meetings with City construction management staff and contractors, If the candidate selects his/her primary office in Moccasin, then the position requires periodic commutes during the week or month to the San Francisco Public Utilities Commission headquarters, at 525 Golden Gate Avenue, for important meetings, as needed, with senior City staff or other consultant or stakeholder staff. Limited living accommodations may be available in the Moccasin cottages or the bunkhouses at Moccasin or early intake for overnight reservation for multi-day project commitments in the Moccasin or Hetch Hetchy region, on a first come, first served basis. Qualifications Minimum Qualifications: Bachelor's Degree in architecture, engineering or planning plus four years of responsible architectural, engineering or construction management experience, OR A Bachelor's Degree in another field plus six years of responsible experience in a field directly related to the project, OR Eight years of architectural, engineering, or construction management experience in a field directly related to the project, OR California registration as professional engineer or architect. One year of full-time employment is equivalent to 2000 hours (2000 hours of qualifying work experience is based on a 40-hour work week). Any overtime hours that you work above forty (40) hours per week are not included in the calculation to determine full-time employment. Applicants must meet the minimum qualification requirement by the final filing date unless otherwise noted. Desirable Qualifications: The stated desirable qualifications may be considered at the end of the selection process when candidates are referred for hiring. The ideal candidate should have experience in all phases of the project – planning, environmental review, design, construction, and closeout using project management processes and knowledge areas. In addition, experience in using software such as Primavera P6, PowerPoint, Excel spreadsheets, Outlook, and Word is a plus. Verification of Education and Experience: Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. Education verification information on verifying foreign education credits or degree equivalency, can be found at How to Verify Education Requirements | Department of Human Resources (sfdhr.org). Note: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. All work experience, education, training, and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications. Resumes will not be accepted in lieu of a completed City and County of San Francisco application. Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores. Additional Information Additional Information Regarding Employment with the City and County of San Francisco: • Information About The Hiring Process, • Conviction History, • Employee Benefits Overview, • Equal Employment Opportunity, • Disaster Service Worker, • ADA Accommodation, • Veterans Preference, • Right to Work, • Copies of Application Documents Applications for City and County of San Francisco jobs are only accepted through an online process. Visit and begin the application process. Applicants will receive a confirmation email from that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received. Job Analyst Information: If you have any questions regarding this recruitment or application process, please contact the job analyst, Sari Mix at . The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. About the Role We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment. What You'll Do * Contribute to the development of novel machine learning techniques for visual generative modeling * Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) * Help optimize model performance and scaling capabilities * Assist in ensuring safe and robust model deployment * Collaborate with cross-functional teams to integrate research innovations * Participate in research discussions and contribute to technical documentation Required Qualifications * BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome) * 2+ years of experience in Machine Learning * Strong foundation in machine learning, particularly generative models * Solid programming skills in Python and PyTorch/TensorFlow * Experience with deep learning frameworks and model training * Understanding of fundamental concepts in computer vision and generative AI * Project experience (academic or personal) with generative models * Clear communication skills and ability to work in a research team Preferred Qualifications * Research projects or thesis work in generative AI * Experience with different types of generative models: * Diffusion Models * GANs * Transformer architectures * Large Language Models * Familiarity with distributed computing and GPU optimization * Contributions to open-source ML projects * Academic publications or workshop papers * Experience with ML infrastructure and deployment This position is onsite at our San Francisco office (4–5 days per week). We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionPosition Summary The ICT Engineer contributes advanced technical expertise to the design and coordination of information and communication technology systems on complex projects. Operating with limited guidance, this role produces ICT design deliverables, resolves cross-discipline issues, and supports client communication. ICT Engineers at this level demonstrate strong technical judgment, contribute to quality efforts, and begin to take ownership of key project components, while still collaborating closely with senior staff for overall project direction. Essential Functions: • Develop ICT and security system designs for complex projects, producing calculations and documentation with limited supervision., • Manage Revit models and low-voltage system views to support project deliverables., • Perform and validate calculations for cabling distances, voltage drops, and equipment loads, applying results to project design decisions., • Resolve cross-discipline coordination issues in collaboration with architects, structural, and civil engineers., • Support site visits, field reports, punch lists, and construction administration activities., • Contribute to QA/QC processes by reviewing design accuracy and compliance with project standards., • Mentor junior staff on project tasks and workflows, with guidance from senior engineers., • Participate in technical meetings and client discussions, supporting senior staff in presentations., • Assist in proposal preparation and scoping efforts by providing technical input.Requirements, • Bachelor’s degree in Electrical Engineering, Information Technology, or a related field, or equivalent experience., • Registered Communications Distribution Designer (RCDD) and/or PSP or CPP certification required., • 2–5 years of experience in ICT, Physical Security or low-voltage systems design within the AEC industry., • Familiarity with BICSI, EIA/TIA, NEC, and other applicable telecommunications standards., • Proficiency in Revit with experience producing and coordinating low-voltage design documentation., • Strong communication, problem-solving, and organizational skills.Physical Requirements, • Prolonged periods of sitting at a desk and working on a computer., • Must be able to effectively communicate in writing and verbally via phone, video conferencing, and in-person.