Senior Computer Vision Engineer Salary at Memomi Inc BETA

Title: Machine Learning Engineer / Computer Vision Engineer Salary: $220k – $280k Location: San Francisco (1 day a week onsite) We are a cutting-edge palm-based biometrics company at the forefront of developing innovative solutions for secure and efficient identity verification. Our technology leverages advanced machine learning and computer vision techniques to provide accurate and scalable biometric authentication systems. Job Description We are seeking a highly skilled and experienced Machine Learning / Computer Vision Engineer to join our dynamic team. The ideal candidate will have a strong background in biometrics, deep learning, and computer vision. This role requires a blend of theoretical knowledge and practical experience in implementing state-of-the-art ML/CV algorithms. Skills Deep understanding of Convolutional Neural Networks (CNNs) and Siamese Networks, including their architecture and applications in biometrics. Expertise in implementing and optimizing advanced loss func

Software Developer Engineer Location: Onsite Menlo Park, CA Schedule: Monday-Friday (40 hrs), standard business Type: Initial W2 contract (expected extensions/conversion) Start Date: Targeting January 2024 Benefits: Medical, dental, vision healthcare coverage + PTO, paid sick leave Opportunity to define automation direction and execute on the strategy, working through ambiguity and building working relationships with stakeholders! RESPONSIBILITIES: Design, architect, and implement long-term automation solutions for complex and ambiguous challenges, ensuring scalable and efficient processes. Develop and maintain advanced test tools and frameworks to support product health, long-term maintainability, and system stability. Oversee product changes while adhering to quality objectives, and lead efforts to redesign test frameworks to facilitate experimentation and feature rollouts. Define and drive long-term, quality-focused roadmaps and prioritization strategies that align with business goa

We're looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO. Role responsibilities • Contribute to the development of state-of-the-art techniques and algorithms for robotic perception • Write production code in C++ for a variety of platforms, including GPUs • Help to recruit and potentially lead a team of

As a member of the Autopilot Team, you will build systems for offline and online 3D reconstruction and scene understanding that are robust, accurate, and performant. You will work on a world class spatial computing platform deployed at scale. Responsibilities Leverage state of the art techniques for spatial computing (such as NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, SLAM) Improve mission critical perception systems that enhance customer comfort and safety for all Tesla cars on the road (driving autonomously or not). Push the boundaries of real world AI Strict adherence to strong software engineering practices to develop novel work quickly and safely Requirements Experience with 3D computer vision and graphics concepts such as camera models, multi view geometry, and rendering pipelines Domain expertise in an area of computer vision such as object detection & tracking, pose estimation, depth estimation, panoptic segmentation, 3D r

About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is actually not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt firsthand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 60, working at the cutting edge of multimodal and visual AI, backed by top investors, i

As a member of the Dojo Machine Learning team, you will be responsible for developing and optimizing simulations of the architecture of a massively parallel machine for AI training. The ideal candidate will have a strong background in computer architecture, analytical and cycle-based simulation, and AI workloads, with a passion for delivering high-performance simulations that accurately model complex systems. Responsibilities Develop and validate simulations of the architecture of a massively parallel machine for AI training, including system architecture, core architecture, memory hierarchy, and interconnects Collaborate with architects and engineers to understand the requirements of the simulation and ensure that it accurately models the behavior of the system Develop and maintain software frameworks and tools to support simulation development, testing, and deployment Work closely with the team to ensure seamless integration of simulations with other components of the system Particip

MORE ABOUT THIS JOB: Job Summary & Responsibilities What We Do At Goldman Sachs, our engineers solve the most challenging and pressing engineering problems in financial services via collaboration and innovation. We build parallel systems, analyzes oceans of data, architect and implement scalable and reliable infrastructure, proactively guard against cyber threats, and continuously deliver technology solutions to connect people and capital for a better economy. Engineering division is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit and lead technology possibilities? Start here. Who We Are Core Engineering provides global thought leadership, solution development, delivery and support for a broad suite of technology products and services at Goldman Sachs. It leverages global expertise to develop leading-edge technology solutions that meet business demands and differentiate the

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working