Senior Image Quality Engineer Jobs

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a highly skilled Senior Image Quality Engineer to take ownership of image quality development for our IP camera portfolio. The ideal candidate has deep expertise in camera ISP tuning, 3A algorithm optimization, sensor characterization, and embedded imaging pipelines. This role involves close collaboration with cross-functional teams and offers significant technical ownership. Key Responsibilities Lead end-to-end image quality development for assigned camera platforms. Perform ISP tuning across noise reduction, sharpening, color correction, gamma, HDR/WDR, temporal filtering, and related modules Develop, evaluate, and optimize 3A algorithms (AE / AWB / AF). Conduct both subjective and objective IQ evaluations using lab tools and real-world scenes. Collaborate with firmware, hardware, optics, and product teams to resolve IQ issues and improve performance. Perform sensor analysis, lens shading tuning, black-level calibration, and other calibration tasks. Support ISP integration and optimization on Ambarella and SigmaStar (sstar) SoCs. Build automation scripts and analysis tools using Python or C/C++. Work with manufacturing and validation teams to ensure consistent IQ quality in production. Candidate Profile & Qualifications Bachelor’s or Master’s in Electrical Engineering, Computer Science, Imagi

Job Title Senior Software Engineer - Image Reconstruction (C++/CUDA) Job Description Build the GPU-native engine that turns raw CT physics into life-saving images inside Philips scanners worldwide , wringing maximum performance from constrained hardware at the frontier of C&#43;&#43;, CUDA, and AI alongside world-class physicists. Your role: Help r e-architect an entire CT image-reconstruction pipeline, from raw detector physics to the final clinical image, as a fully GPU-native, massively scalable platform in C&#43;&#43; and CUDA. Work shoulder-to-shoulder with physicists, algorithm architects, and platform engineers, translating complex signal and image-processing models into high-performance GPU implementations that balance image quality against compute cost. Collaborate with CT platform teams around the globe to design, build, test, and deploy an industry-leading reconstruction software platform. Push the frontier of performance engineering and applied AI by profiling, parallelizing, optimizing memory use across caches and shared memory, and pioneering learned models that replace expensive physics with fast, accurate equivalents. This hybrid role is based in Cleveland, OH, with three flexible days in the office and two remote days each week . Regular travel is not typically </sp

Job Title Senior Supplier Quality Engineer Job Description The Senior Supplier Quality Engineer ensures supplier quality, compliance, and process capability across sustaining activities within Philips’ Image Guided Therapy Devices business. Your role: Serves as the primary Supplier Quality Engineering point of contact for the Colorado Springs, CO facility, providing on-site support ensuring timely alignment with site Quality, Manufacturing, R&D, Sustaining Engineering, Procurement, and supplier stakeholders. Leads and owns MSA, PFMEA, Control Plan, SPC, PV&V, FAI, IQ/OQ/PQ, and related APQP / PPAP activities to ensure supplier process capability, validation readiness, and compliance with quality requirements. Leads APQP / PPAP execution for supplier transfers, supplier changes, SICRs, and sustaining projects supporting the Fremont, CA manufacturing facility. Facilitates Design for Excellence collaboration between R&D, Sustaining Engineering, Manufacturing, and suppliers to improve design quality, manufacturability, supplier process robustness, and long-term product performance. Ensures Critical to Quality characteristics are clearly defined, flowed down to suppliers, validated through appropriate controls, and maintained throughout production. Leads supplier audits, including initial qualification, for-cause, and follow-up audits, to assess supplier compliance with applicable quality system requirements, regulatory expectations, process controls, and supplier agreement obligations. Leads supplier qualification activities for addition to the Approved Supplier List, including supplier capability assessment, quality system maturity evaluation, technical readiness, risk classification, approval documentation, and onboarding completion. Leads supplier-related non-conformance investigations, including defect

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition Collaborate on benchmarking of models across datasets and operating conditions Train and optimize models using PyTorch, TensorFlow, and/or JAX Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models) Strong Computer Vision fundamentals Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow Cloud Native: Experience with GPU-based training and deploying ML services on AWS Nice to Have Research Publications in top computer vision venues (CVPR, ICCV, ECCV) Large Scale Search: Familiarity with vector databases and ANN search Synthetic Data: Experience with GANs or diffusion models for data augmentation Mobile

About Us: Sauce Labs is the leading provider of continuous test and error reporting solutions that give companies the confidence to develop, deliver and update high quality software at speed. The Sauce Labs Continuous Testing Cloud identifies quality signals in development and production, accelerating the ability to release and update web and mobile applications that look, function and perform exactly as they should on every browser, operating system and device, every single time. Sauce Labs is a privately held company funded by TPG and Riverwood Capital. The Role: Sauce Labs seeks a Senior Software Engineer to join the Virtual Device Cloud team, which builds and operates the infrastructure that hosts remote iOS, macOS, Windows, and Linux devices at scale for automated app and browser testing. This is not a narrow specialist role. We need someone who can move across the whole stack of a distributed system: understand how the pieces fit together, make the system observable enough that we know what's working and can diagnose what isn't, write and structure code with clear boundaries and the right things encapsulated, and be just as comfortable SSHing into a fleet machine to dig into a live problem as designing the system on a whiteboard. You'll join the Virtual Device Cloud team, which has deep, concentrated strength in macOS, CoreSimulator and APFS internals, and work closely with the Product Manager and with the Test Orchestration and Cloud teams. Your job is to improve testing discipline and cross-platform observability, and to raise delivery cadence, correctness, and visibility across the fleet. Responsibilities: Lead by example - set the team’s standard for testing, observability and delivery through code review and pairing, and bring others along. Own the device lifecycle - design and build the services this team owns across the whole device lifecycle, from the image a device boots to its teardown. That covers readiness, session lifecycle and the fle

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You'll Do: DeepIntent is seeking an MLOps Engineer to join our European Data Infrastructure team. The MLOps Engineer will partner with our Data Science and AI teams to build and scale a high-performance machine learning and AI platform spanning our on-prem data centers and GPU resources - built on Python, Spark, Kubernetes, Docker, and modern orchestration frameworks (Argo Workflows, Airflow). Partner with Data Science and AI Engineering teams to adopt MLOps best practices and migrate training/inference workloads onto the platform Implement and maintain model tracking, versioning and experiment management (MLflow) with observability into model performance and drift Build CI/CD pipelines purpose-built for ML/AI artifacts (model registries, container image pipelines, automated retraining triggers) Continuously improve platform reliability, cost-efficiency and maintainability of the underlying codebase Establish monitoring and observability for ML/AI systems (Prometheus, Grafana) covering GPU utilization, model latency, throughput and custom ML metrics Design and operate ML/AI deployment infrastructure, including GPU cluster architecture, model serving and tool selection across training and inference workloads Build and maintain infrastructure for LLM and generative AI workloads, including model fine-tuning pipelines, vector databases, RAG architectures and inference optimization Collaborate with business units and Product on ML/AI-d

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role At the forefront of innovation, the Computer Vision team develops the artificial intelligence and machine learning models that power Verkada's advanced analytics. Their responsibilities include creating and refining algorithms for features such as people and vehicle detection, license plate recognition, and other intelligent video analysis tools. Recent projects for this role include: Implementing and deploying a binary classifier using TensorFlow for detecting the binary states across millions of cameras Detecting unusual object addition/removal in a scene Detecting and counting object and people frequencies Training text image embedding models and vision language models Training license plate recognition models and implementing LPR on the edge Training facial recognition models and implementing real-time facial recognition What Yo

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a product-minded Senior Software Engineer to help us build the next generation of media creation tools at Reddit. In this role, you will define the backend architecture that powers how Redditors capture, edit, and publish engaging video and image content. You will tackle complex technical challenges to support our media product strategy and deliver high-quality media experiences globally. Key Responsibilities Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love. Own backend infrastructure for media creation, building fast, maintainable APIs that seamlessly integrate with our frontend clients to provide a magical, real-time creator experience. Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise. Move fast while balancing quality. We can’t afford extensive processes, and we also can’t afford show-stopping bugs. We need someone who can balance speed with quality while quickly building brand-new products. Qualifications BS degree in Computer Science, a similar technical field of study or equivalent practical experience. 3+ years of industry experience in large-scale distribute

About VSCO For years, we've helped photographers create their work. Now we're building what comes next. VSCO exists for photographers. Not as a side feature, not as an afterthought, but as the whole point. We build the connected system photographers rely on, and we've spent over a decade earning the trust of a global creative community that takes the craft seriously. Photography is at an inflection point. AI is reshaping what's possible for creative work, and that's where our mission shines. VSCO is building the full photographer's workflow: from creating and editing your work, to delivering it to clients, to running your business. All of it built thoughtfully, with photographers leading the way. We believe the future of photography tools creates more space for creativity, handling the busy work so photographers can focus on the craft. If you care about craft, community, and what technology can unlock for creative people, this is the work. We're a mission-driven and focused company where your work ships quickly, is meaningful, and reaches tens of millions of people worldwide. You'll have a real say in what we build and how we build it. We hire people who don't wait to be asked, naturally connect the dots, care about the quality of what they ship, and believe the best outcomes come from building together. About The Role VSCO is hiring a Senior Staff Engineer to own Reflex, our production GPU image-processing engine, and the path it takes into Studio Pro on iOS and macOS. This is a critical technical leader. You will deepen a stack that is already in customers’ hands: new capabilities (RAW, large-image export, desktop), production quality (color correctness, memory, performance), and the contracts that let product engineers ship on top of the engine without becoming graphics programmers. You will also lead company-wide engineering mentorship and force-multiplication — tools, workflows, and AI-assisted development that make the rest of the team more effective. In This

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Position Summary As an IoT Engineer, Engineer based in Singapore, you will design, build, and deploy Industrial IoT (IIoT) and machine vision solutions to support advanced packaging technology development and factory enablement. You will implement hands-on engineering work from proof-of-concept through deployment and sustainment, contributing to scalable and secure solutions that improve quality, productivity, and early risk detection. You will collaborate cross-functionally to translate manufacturing needs into measurable signals, robust data pipelines, and actionable insights, while operating with a strong safety mentality and a bias for practical, reliable delivery. Key Responsibilities Develop and deploy IIoT solutions end-to-end: sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment (including data quality and traceability). Build machine vision solutions: support hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, performance validation, and deployment readiness. Work with process, equipment, automation, quality, and IT/data platfor

About VSCO For years, we've helped photographers create their work. Now we're building what comes next. VSCO exists for photographers. Not as a side feature, not as an afterthought, but as the whole point. We build the connected system photographers rely on, and we've spent over a decade earning the trust of a global creative community that takes the craft seriously. Photography is at an inflection point. AI is reshaping what's possible for creative work, and that's where our mission shines. VSCO is building the full photographer's workflow: from creating and editing your work, to delivering it to clients, to running your business. All of it built thoughtfully, with photographers leading the way. We believe the future of photography tools creates more space for creativity, handling the busy work so photographers can focus on the craft. If you care about craft, community, and what technology can unlock for creative people, this is the work. We're a mission-driven and focused company where your work ships quickly, is meaningful, and reaches tens of millions of people worldwide. You'll have a real say in what we build and how we build it. We hire people who don't wait to be asked, naturally connect the dots, care about the quality of what they ship, and believe the best outcomes come from building together. About The Role VSCO is hiring a Senior Software Engineer to be a primary contributor on Reflex, our production GPU image-processing engine, and significantly guide the path it takes into Studio Pro on iOS and macOS. You will deepen a stack that is already in customers’ hands: new capabilities (RAW, large-image export, desktop), production quality (color correctness, memory, performance), and the contracts that let product engineers ship on top of the engine without becoming graphics programmers. In This Role, You Will Be a primary contributor on the Reflex imaging engine: DAG execution, WGSL operators, GPU resource/memory budgets, and color management (linear workin

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. United States (all figures cited below in USD and pertain to workers in the United States) Zone A: 232,000 - 290,000 Zone B: 217,600 - 272,000 Zone C: 204,800 - 256,000 Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada) 253,000 - 316,000 Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you’ll: Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

Scale is the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. We are looking for an AI Product Manager to support Multimodal & Coding AI data verticals, including audio, image, video, and world models. This role is designed for someone early in their product career who is excited about AI and wants to develop into a full AI Product Manager over time. In this role, you will work closely with Senior AI Product Managers to drive execution across product, operations, and customer programs. You will help coordinate cross-functional initiatives, manage project timelines, support customer engagements, and contribute to product discovery and data development efforts. This position offers a clear growth path into AI Product Management, with increasing ownership of products, customer relationships, and business outcomes. You Will Partner with Senior AI Product Managers to drive execution of strategic initiatives across Coding, Agentic, and RL data products. Coordinate cross-functional projects across operations, engineering, research, and go-to-market teams to ensure timely delivery of customer commitments. Track program milestones, risks, dependencies, and deliverables while driving accountability across stakeholders. Support customer engagements by preparing materials, documenting requirements, coordinating follow-ups, and helping manage project execution. Assist in defining data specifications, reviewing data quality, and identifying opportunities to improve product performance and operational efficiency. Conduct market, customer, and competitive research to inform product strategy and roadmap decisions. Contribute to the development of new AI data products, tooling, and evaluation workflows. Develop a strong understanding of frontier AI models, agent sys