iOS Video Engineer

About FuboTV:FuboTV Inc. is a pioneering live TV streaming service focused on delivering a consumer-first experience that is reshaping the future of television.Recognized as one of Fast Company’s Most Innovative Companies (2026) and the Financial Times’ Fastest-Growing Companies in the Americas (2026, 2025), FuboTV also owns Hulu + Live TV (entertainment), Fubo (sports), and Molotov (entertainment and sports), streaming to audiences worldwide.Our Mission:We aim to provide premium sports, news, and entertainment content through an unparalleled user experience that prioritizes choice, flexibility, and value.About the Role:*This position is a hybrid role based in New York City. Candidates must reside in NYC and be willing to work in the office three days a week (Tuesday, Wednesday, Thursday).* We are on the lookout for a Software Engineer with a robust foundation in backend development and a solid understanding of infrastructure principles. This role is crucial for building and maintaining scalable, reliable, and high-performance systems that support our video infrastructure and core services. We need a hands-on engineer who thrives in both software delivery and system reliability.The Video Input/Output Systems team oversees all facets of linear video operations, including ingestion, storage, distribution, advertising, scheduling, and client playback at scale.This is a fantastic opportunity for a software engineer to engage with both internal and external stakeholders, crafting efficient systems that align with critical business objectives. You will collaborate closely with our Streaming Media Operations (Acquisition, Encoding, Operations), Advertising Engineering, Platform, Product Management, Players, Content Distribution, and Sales teams to create integrated solutions.What You’ll Do:Design and implement high-throughput, low-latency video backend services, focusing on scalable architecture, efficient data processing, and fault-tolerant behaviors during peak traffic.Integrate services with comprehensive metrics, distributed tracing, structured logging, and health checks to enhance real-time observability and actionable alerts.Manage the reliability lifecycle—from establishing SLIs/SLOs to leading incident responses, triage, on-call rotations, and long-term reliability engineering initiatives.Architect scalable and event-driven services and microservices to support millions of concurrent viewers.Collaborate extensively with SRE and partner teams to fine-tune service performance across edge caches.

Join Our Innovative TeamBecome a pivotal member of our team dedicated to creating the world's first biological reasoning model. Collaborate with us on groundbreaking generative foundational models that interpret biological systems across various scales—from molecular interactions to entire organisms—empowering us to predict, comprehend, and manipulate living systems like never before.Output is currently in stealth mode, driven by a team of seasoned founders and biotech experts who have successfully exited ventures in AI and biotechnology, supported by leading venture capital firms including Y Combinator.As a Machine Learning Engineer, you will partner with our founders and talented team members to innovate and deploy advanced AI solutions that facilitate intricate biological reasoning across diverse scales.Develop foundational models for biological systems capable of encoding and decoding biological data at scale.Create deep generative models tailored for biological applications, experimenting with innovative architectures to capture the complexities of multi-scale biological systems.Work on distributed training systems to scale our models to billions of parameters, focusing on performance and efficiency across multi-GPU and multi-node configurations while processing extensive biological datasets.Design efficient data pipelines to manage and process large biological datasets, tackling challenges in data loading, partitioning, and memory optimization.Establish and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits.

The mission of The New York Times is to seek the truth and help people understand the world. Our commitment to independent journalism is central to our operations, allowing us to maintain a world-class newsroom that reports from nearly 160 countries. We prioritize enhancing our readers' experiences across all media formats, including print, audio, and a premier digital platform. Our business strategy is grounded in delivering journalism of such high quality that it earns the trust and investment of our audience.About the RoleThe Digital Advertising Mission at The New York Times is seeking a Senior Software Engineer to spearhead the advancement of our programmatic video advertising capabilities. In this hybrid role based at our New York City headquarters, you will collaborate with various product teams to create high-performance, video-centric ad experiences. You will report directly to the Ad Experience Engineering Manager and contribute to creating engaging experiences for over 150 million digital readers worldwide. Our Digital Advertising Mission is focused on developing display and video ad products that set us apart in the market, ensuring performance for our readers and scalable sales.Responsibilities:Architect Video Ad Products: Develop seamless outstream (in-read, in-page) and instream video experiences across NYT products.Identity and Privacy: Design and implement solutions for identity resolution within the programmatic stack, ensuring high auction match rates while adhering to strict privacy standards.Standards and Compliance: Enforce industry standards for video delivery, such as VAST or VPAID, ensuring compatibility across our multi-platform environment.Performance Monitoring: Manage the end-to-end performance of video ads, focusing on Core Web Vitals and reducing the 'time to first frame' for outstream units.

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

About Standard BotsAt Standard Bots, we are on a mission to transform the landscape of real-world automation by significantly reducing barriers to entry. We empower industries and users to harness the potential of automation through user-friendly applications and APIs. Our commitment to simplicity and user experience is at the core of our revolutionary approach, enabling anyone to tackle challenges without needing expertise in robotics or automation.Your Role:We are seeking a Senior Software Engineer to design and develop the foundational manufacturing systems that drive our operations. This includes systems for MRP, MES, inventory management, work orders, and production tracking, all seamlessly integrated with our robotic arms.In this role, you will create software that orchestrates physical production workflows, bridges digital systems with real-world hardware, and guarantees reliability, traceability, and operational excellence throughout our manufacturing processes.

Standard Template Labs is an innovative startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through AI technologies. Supported by prominent investors, we are at the forefront of integrating AI, graph-based architectures, and cutting-edge design to transform enterprise technology management.About the Role:We are seeking a Staff Software Engineer who excels at the crossroads of AI systems design, large-scale distributed infrastructure, and product innovation. In this role, you will spearhead technical projects that manifest AI-native functionalities—developing resilient, scalable systems that incorporate LLMs, data-driven automation, and graph intelligence into enterprise processes.This position is ideal for a hands-on leader who is not only proficient in coding but also adept at mentoring others and shaping technical strategies in an AI-centric environment.Key Responsibilities:AI-Driven Systems EngineeringCraft and implement AI-native architectures that integrate LLMs and intelligent automation into ITSM and CMDB workflows.Utilize LLMs, embeddings, and retrieval pipelines to enhance natural language interfaces, knowledge synthesis, and reasoning within our platform.Collaborate with product, design, and data teams to embed AI throughout the product experience—from backend systems to user-facing features.Technical OwnershipTake end-to-end ownership of intricate systems: design, architecture, deployment, and reliability in production.Navigate architectural choices while balancing immediate performance with long-term scalability and sustainability.Contribute to defining our AI-first engineering stack and methodologies for prompt orchestration, model integration, and continuous learning.Hands-On EngineeringDevelop clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.Design and enhance distributed, event-driven systems and APIs capable of handling data and inference at scale.Perform in-depth code reviews and optimize performance across high-traffic production environments.

At Mirage, we are pioneering an AI-driven video platform that revolutionizes the production and editing process through natural language. Our innovative models harness contextual intelligence to replicate the creative decisions made by professional editors, thereby significantly enhancing productivity for experienced teams while democratizing video creation for all.Join our interdisciplinary team as we confront some of the most complex technical and creative challenges in generative media. As an early member of our team, your contributions will address foundational issues that remain largely unresolved in the industry, allowing you to make a substantial impact on the future of creative expression.Learn more about usProduct (Captions by Mirage) Research (Seeing Voices, technical-white-paper)Updates (Follow us on X / Twitter)TechCrunch, Forbes AI 50, Fast Company (press releases)Our Esteemed InvestorsWe are privileged to have the support of top-tier investors and visionary entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and many others.Please note that all roles require in-person attendance at our NYC headquarters located in Union Square.Role OverviewAs a Backend Software Engineer at Mirage, you will have the opportunity to engage in diverse areas including product development, platform engineering, and machine learning. You will be responsible for building and managing the systems, services, APIs, and machine learning pipelines that drive our product offerings. Collaborating closely with product, design, client, and AI teams, you will take ownership of critical backend systems from conception to completion, transforming ambitious ideas into robust and scalable production solutions.

Hudson River Trading (HRT) stands as a premier quantitative trading and investment firm, renowned for our innovative strategies across multiple asset classes. At the heart of our achievements is our powerful compute cluster, the backbone of our trading strategies that continuously evolve and excel.We invite creative and analytical minds to join our team as a Storage Developer. In this pivotal role, you will enhance the data storage libraries and tools utilized by our Research teams, driving the development of state-of-the-art trading strategies. Your journey will involve deep exploration of C++ and advanced storage solutions, all while working at scale to facilitate groundbreaking research. Collaborate with a team of talented developers who are eager to push the limits of technology and make a significant impact.

About Mirage Mirage builds an AI-powered video platform in Union Square, New York City. The team focuses on transforming video production and editing by applying natural language processing. Their models aim to capture the creative decisions professional editors make, helping skilled teams work faster and making video creation accessible to more people. Role Overview: Research Engineer, Video Generation This role joins an interdisciplinary group working on technical and creative problems in generative media. As an early member of the engineering team, the position involves shaping core solutions to industry-wide challenges. The work directly influences how creative expression evolves in video production.

At Mirage, we are revolutionizing the world of video production with our AI-driven platform, which enhances editing and production through intuitive natural language processing. Our advanced models are designed to emulate the creative choices of seasoned editors, significantly boosting productivity for experienced teams while democratizing video creation for everyone.As part of our interdisciplinary team, you will confront some of the most challenging technical and creative obstacles in the realm of generative media. Joining us at this early stage means you will play a crucial role in solving fundamental issues that have yet to be tackled in the industry, making a substantial impact on the future of creative expression.Learn more about us:Product (Captions by Mirage)Research (Seeing Voices, technical white paper)Updates (Mirage on X / Twitter)Featured in TechCrunch, Forbes AI 50, and Fast Company.

Join our dynamic team at Blacksmith as a Principal Systems Engineer, where you will play a crucial role in designing, developing, and implementing innovative systems solutions. Your expertise will guide projects from conception to execution, ensuring they meet both technical and user requirements.

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.

Join the City of New York as a Video Technician, where you will play a crucial role in supporting various video projects across the city. This position involves operating video equipment, assisting with live broadcasts, and ensuring high-quality video production standards. Ideal candidates will have a keen eye for detail and a passion for storytelling through visual media.

Join Mirage, an innovative AI-native video platform that revolutionizes video production and editing through natural language processing. Our cutting-edge models utilize contextual awareness to make creative decisions akin to those of professional editors, significantly enhancing productivity for seasoned teams while democratizing video creation for all.As part of our interdisciplinary team, you'll confront some of the toughest technical and creative challenges in generative media. Your contributions will address foundational problems that are yet to be solved across the industry, leaving a substantial mark on the future of creative expression.Learn more about us:Explore our Product (Captions by Mirage) Read our Research (Seeing Voices, technical white paper)Follow our Updates (Mirage on X / Twitter)TechCrunch, Forbes AI 50, Fast Company (press)Our Investors:We are proud to be supported by leading investors and entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and many more.Please note: All roles at Mirage require in-person presence at our NYC headquarters located in Union Square.About the Role:As a Software Engineer, you will take ownership of end-to-end product experiences tailored for creative workflows. Your work will push the limits of what can be achieved in the browser, developing sophisticated tools that encompass user-friendly interfaces, video and graphics rendering, and the integration of advanced generative AI models. We value collaboration and grant our engineers a significant level of ownership and autonomy to drive innovation.

About AnthropicAt Anthropic, our mission is to design AI systems that are reliable, interpretable, and steerable. We aim to ensure that AI technology is safe and advantageous for both our users and society as a whole. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders collaborating to create beneficial AI systems.About the Role:We are in search of seasoned, product-oriented Software Engineers to take ownership of the backend systems that enhance user experiences across our API, Claude Code, and Claude.ai. In this role, you will independently define complex, multi-month projects within ambiguous problem domains and guide your peers in making technical and product-related decisions. You will align with product management, engineering teams, and research to identify capability gaps and translate cutting-edge model advancements into deployable products. Your architectural decisions will significantly impact the reliability and scalability of systems serving hundreds of thousands of global users, including internal teams, while you remain actively engaged with the code and our models.We are currently hiring for multiple teams. Team assignments will be made post-interview, considering your preferences and experience alongside organizational requirements. This flexible approach allows us to pair talented engineers with backend product initiatives where they can make the most significant impact and experience the most growth:API Core: You will develop and enhance the foundation of the Claude API—systems that deliver Claude's intelligence to developers ranging from startups to large enterprises. You will manage the performance, reliability, and efficiency of our core serving path, ensuring users derive maximum speed and value from our models. Collaboration with inference and safeguards will be key to optimizing the entire stack.API Capabilities: You will empower developers by integrating frontier model capabilities into the Claude API, overseeing core features such as vision, tool usage, and computer interaction. Your responsibilities will include launching new models and delivering the building blocks that enhance Claude's capabilities with each release, working directly with research and inference to productionize future advancements.API Knowledge: Your focus will be on transforming Claude into a true knowledge worker by ensuring the model has timely access to the right information. You will facilitate secure data access for developers, enabling Claude to automatically process and retrieve relevant data as needed.

The New York Times Company is looking for a Social Video Journalist to join the NYT Cooking team in New York, NY. This role centers on creating short-form, vertical video content designed for digital audiences. The team aims to reach new viewers and expand NYT Cooking’s presence across social platforms. What you will do Pitch, develop, and produce a steady stream of social-first videos that showcase NYT Cooking’s journalism and recipes. Create content tailored for Instagram Reels, TikTok, YouTube Shorts, and NYT Cooking’s own digital channels. Manage the full video production cycle, from initial concept to final export. Collaborate with colleagues across different specialties to ensure every video meets editorial standards and performs well on social media. Location and schedule This position is based in New York, NY. In-person attendance at the office is required four days a week, with some flexibility for remote work according to department guidelines.

Join Mirage, an innovative AI-powered video platform that revolutionizes production and editing through intuitive natural language processing. Our advanced models harness contextual awareness to replicate the creative decisions of seasoned editors, significantly enhancing productivity for expert teams while democratizing video creation.As a vital member of our interdisciplinary team, you'll confront some of the most challenging technical and creative hurdles in generative media. Your contributions will play a critical role in shaping the future of creative expression as we tackle foundational issues that persist within the industry.About UsExplore our Product (Captions by Mirage)Research Insights (Seeing Voices, technical white paper)Latest Updates (Mirage on X/Twitter)Coverage in TechCrunch, Forbes AI 50, Fast Company (press)Our InvestorsWe are privileged to have backing from leading investors and entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and many more.Please note that all roles require in-person attendance at our NYC headquarters located in Union Square.

CVector is dedicated to revolutionizing economic optimization and AI-driven predictions across energy and manufacturing sectors.Our technology seamlessly integrates critical decision-making factors that impact cost, reliability, and profit margins, providing a unified decision layer that forecasts future scenarios, simulates potential outcomes, and optimizes operational strategies. This allows industrial plants to operate closer to their maximum economic potential daily.This position requires in-office attendance at our New York City headquarters four days a week. CVector serves clients nationwide and operates in challenging industrial environments.Role OverviewAs a Senior Software Engineer specializing in Backend and AI Infrastructure, you will be instrumental in advancing CVector’s backend platform. Your focus will be on developing time-series data systems, AI-enhanced analytics, cloud infrastructure, and data ingestion pipelines that underpin our client-facing applications and internal modeling tools.This role is ideal for engineers who thrive on working closely with data and infrastructure, possess excellent architectural judgment, and are eager to engage with AI systems, databases, and distributed backend services. You will take ownership of complex systems, lead significant technical migrations, and influence the integration of intelligence into industrial energy workflows.You will work in close collaboration with product, modeling, and frontend engineers, significantly impacting the platform's direction, reliability, and scalability for the long term.Key ResponsibilitiesAs a Senior Software Engineer, your contributions will span various interconnected domains:Intelligent SystemsTranslate customer domains and operational workflows into effective prompts and AI system interfaces.Design, implement, and refine evaluations for AI outputs.Incorporate customer feedback and reinforcement signals to enhance system performance.Optimize context selection, retrieval, and trace collection to elevate output quality.Fine-tune smaller models using collected traces to enhance speed while maintaining performance standards.Evaluate and assimilate new AI platforms and models as they emerge.Support the training and deployment of large, time-series-specific models.Backend Platform and Data InfrastructureOversee migrations and enhancements of our time-series data schemas and storage systems.Update and manage PostgreSQL and associated database infrastructure.Develop and sustain data connectors for industrial and external systems.Lead improvements to MQTT-based data ingestion pipelines.Transition PostgREST to a GraphQL-based framework and evolve our API architecture.

Mirage builds AI-native video tools in Union Square, New York City. The team develops technology that uses natural language processing to simplify video production and editing. By modeling the creative decisions of professional editors, Mirage works to make video creation more efficient and accessible for a broader range of people. Role overview This early career software engineering position offers the chance to work on foundational challenges in generative media. Engineers at Mirage join an interdisciplinary group tackling technical and creative problems, many of which remain open in the field. Contributions in this role help shape the direction of creative expression and video technology at Mirage. Location requirement This position is based in person at Mirage’s headquarters in Union Square, NYC. Remote work is not available for this role. Application process All applications are reviewed with care. Please apply through the official job posting. Contacting Mirage employees directly will not affect the selection process. Learn more Our Product (Captions by Mirage) Our Research (Technical White Paper: Seeing Voices) Latest Updates (Follow Mirage on X / Twitter) Coverage in TechCrunch, Forbes AI 50, and Fast Company Investors Mirage is supported by Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, and other notable investors and entrepreneurs.