Video Engineer Salary at Fntech Sa BETA

Responsibilities: Develop Next-Generation Social AI Products – Design and build cutting-edge tools that empower social marketers to interact with AI for images and video, leveraging the latest advancements in research. Architect and implement backend systems that efficiently process large volumes of data, utilizing well-structured models for both SQL and NoSQL databases. Work closely with designers, product managers, and engineers to prototype, refine, and launch new features that deliver measurable impact. Research and implement state-of-the-art architectures to support high-scale user bases and large-volume data processing across various platforms. Contribute to the overall product roadmap, advocate for best practices, and help shape the future of generative AI in imagery and video. Requirements 5+ Years of experience in startup or fast paced environments Expertise in Django – Strong track record of developing scalable Django APIs within a collaborative engineering team. Product & Sy

Responsibilities: Design and implement products that enable social marketers to interact with and leverage AI models for images and video, ensuring we stay on the research frontier. Develop responsive, high-performance web applications that deliver exceptional user experiences across modern browsers. Partner cross-functionally with designers, product managers, and engineers—to prototype and roll out new features that drive measurable results. Research, experiment with, and put into production world class architectures to support growing user bases and data volumes. Contribute to the overall roadmap, champion best practices, and help shape our future in generative imagery and video. Required Skills: 5+ Years of Experience with a proven track record in building robust applications. Demonstrated experience developing scalable front-end applications using React and Next.js within collaborative, cross-functional teams. Ability to translate customer needs into usable, robust products while a

MLOps and Data Engineer We are hiring for a fast-growing well funded 25 person start-up at the forefront of generative video technology. We’re looking for a Senior MLOps & Data Engineer to join their growing team. What You'll Do Own and evolve our ML data and training pipelines — from ingestion to deployment — ensuring they are scalable, efficient, and reliable Build, deploy, and maintain distributed training jobs (e.g. with Megatron or other frameworks) across multi-node clusters Design and manage robust data processing workflows, supporting both real-time and batch operations Collaborate closely with research and engineering teams to bring ML models from prototype to production Optimize inference pipelines for low-latency, cost-effective serving Monitor and improve system performance, reliability, and security across the ML lifecycle Key Qualifications 4+ years of experience in MLOps, ML infrastructure, or data engineering roles Hands-on experience deploying and maintaining distribut

About the job Adamas Knight is exclusively partnering with an early-stage AI startup that has already hit six-figure ARR and recently closed an oversubscribed ~$4M seed round from top-tier investors. Now, they’re expanding their core team in San Francisco and Europe—bringing on exceptional talent to join a group of ex-OpenAI and Scale AI talent, with deep technical roots from leading AI labs at Oxford, Cambridge, and ETH Zurich. The Role As a Founding Deep Learning Engineer, you’ll lead the development of multimodal AI systems - text, image, video, audio - leveraging LLMs, agents, and foundation models. Your expertise will drive the use of LLMs, agents, and foundation models to design scalable architectures, integrate RAG and semantic search, and fine-tune models using SFT/RL. This is a one-of-a-kind opportunity to transform novel LLM research into real-world application. You might be a fit if… You have a strong academic record in a technical field, ideally Computer Science. You thrive

About the job you’re considering As a Software Infrastructure Engineer, you will be part of the End-to-End (E2E) System and Infrastructure team at RL Silicon. Your work will focus on building, scaling, and maintaining laboratory software infrastructure for FW/SW/DV development and system integration on both pre-silicon and post-silicon platforms. Your role Develop automation frameworks that allow the silicon organization to move fast with high confidence in the quality of prototyping, system provisioning, silicon/software validation, and system integration. Invent new tools that streamline reliable software deployment, test execution, and data analysis as part of our continuous integration and release system. Develop and distribute library APIs to orchestrate silicon development platforms to automate stimuli input and collect output on data streams from various interfaces on silicon evaluation boards and FPGA/Emulation platforms! Perform hands-on integration and solving of distributed

Job Title: Developer Advocate / Tech Evangelist Location: San Francisco, CA (Hybrid) Role Overview: As a Developer Advocate at GMI Cloud, you will be instrumental in bridging the gap between our engineering team and the developer community. Your role will involve creating engaging content, gathering feedback, and fostering a vibrant community around our AI cloud services. Key Responsibilities • Create compelling, technical content (blogs, videos, tutorials) to showcase what developers can build using GMI Cloud • Engage with AI/ML developers in Discord, GitHub, Twitter/X, and other community channels • Run workshops, livestreams, and events to educate and inspire our users • Partner with internal product and engineering teams to relay developer needs and feedback • Support key AI-native startups in building on GMI Cloud, and spotlight their success stories • Contribute to developer tooling, open-source repos, and example projects. Qualification • Background in software development, mach

Sunnyvale, California, United States Industry: Software and Services Position: visionOS Media Application Engineer - Apple Vision Pro Description The Vision Pro Media Apps team is focused on building media experiences on visionOS. This team pushes the boundaries of entertainment by utilizing the unique capabilities of Vision Pro. As a team member, you will help craft future experiences that delight users, such as Spatial Videos and Apple Immersive Videos. Engineers should be prepared to work across the app layer, from UI to networking, protocols, and system integration layers. Minimum Qualifications 3-5 years of experience in iOS application development Proficiency in at least one programming language, with Swift preferred Experience using Apple development tools and APIs Preferred Qualifications Experience with Apple frameworks and technologies such as UIKit, SwiftUI, Core Animation, CloudKit Track record of building and shipping complex, user-facing applications on consumer platforms

AV/Event Engineer Lyft is searching for an AV/Event Engineer with extensive expertise in AV conference room systems and live event support. In this role, you will collaborate with team members to manage, maintain, and troubleshoot AV infrastructure in our New York office and across remote offices nationwide. You'll be a key player in ensuring the seamless operation of conference rooms, event spaces, AV technologies, and IT systems while driving process improvements. You bring strong technical knowledge, proactive problem-solving, and leadership skills, making you an integral part of a collaborative, fast-paced, and high-growth environment. You thrive on optimizing AV experiences, providing innovative solutions, and balancing Lyft's core values of hard work and fun. Key Responsibilities Coordinate end-to-end AV support (on-site and remote), ensuring reliable operation of: Conference room systems (Google Meet, Zoom, Logitech conferencing equipment, & Q-SYS) Audio and video equipment, pro