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The Computer-Using Agent team is responsible for developing and deploying computer-using agents—agents that operate graphical user interface-based tools such as computers and browsers. Combining rigorous research with high-quality engineering across evaluation, data, training, RL environments and

We are seeking a Principal Software Engineer with deep expertise in computer graphics to lead the design and delivery of large-scale, production systems. Foster a culture of engineering excellence by leveling up senior engineers through hands-on code reviews and technical guidance. Mastery of softwa

Bachelor's Degree in Computer Science, preferably with research experience. Traditional computer vision algorithms.

We are seeking a Principal Software Engineer with deep expertise in computer graphics to lead the design and delivery of large-scale, production systems. Foster a culture of engineering excellence by leveling up senior engineers through hands-on code reviews and technical guidance. A leader who take

Bachelor's degree or higher in computer science, computer vision, applied mathematics, machine learning, or a related field. We're looking for an engineer or researcher who lives at the intersection of 3D computer vision and machine learning. With this vision, we're designing a new kind of computer,

Use open-source and off-the-shelf gen AI models as the starting point for model fine-tuning and improvements, maximizing precision and recall on WBD content and objectives Help build a culture of innovation and engineering excellence by providing guidance to a team of machine learning engineers Coll

Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross‑functional teams. Senior Machin

Master's degree in Electrical Engineering with 5+ years of industry experience or PhD in Electrical Engineering with 3+ years of industry experience. Engage with the digital design team to understand the architecture to address congestion and timing issues through design modifications and functional

A leading fitness technology company is looking for a passionate Staff Android Software Engineer in San Francisco, CA.

Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural netwo

A leading technology firm in San Francisco is seeking a dedicated Engineer to join their team focused on ML development and computer vision solutions. The ideal candidate has a Bachelor's degree in Computer Science, proficiency in Python or C++, and a problem-solving mindset.

A leading video marketing AI startup in San Francisco is seeking an AI Engineer to join their dynamic team. Ideal candidates should thrive in fast-paced environments and possess skills in computer vision and cloud technologies.

Senior Machine Learning Engineer (Computer Vision). They are seeking a Machine Learning Engineer (Computer Vision) to join their lean and agile team. Lead the design, development, testing, and deployment of their computer vision and other machine learning systems, including model training, MLOps pip

We look for world‑class engineers who have both a vision for the product but also the ability to go heads down and produce exceptional code.

We are seeking a skilled Application Engineer to join our team, focusing on deploying and optimizing computer vision systems on NVIDIA Jetson platforms. There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, includ

Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. PhD in Machine Learning, Computer Science, or related areas. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimo

Strong Python skills and solid software engineering fundamentals. Background in OCR, document intelligence, or computer vision. This company is hiring a full-time ML // AI Engineer to work on-site in San Francisco, building production machine learning systems for large enterprise customers.

MUST HAVE ULTRA-LUXURY EXPERIENCE IN THE UNITED STATES.Renowned ultra-luxury residential interior design firm in San Francisco is seeking a dynamic individual to join their team!.Intermediate Level Interior Designer/Project Manager.Work with Studio Director and team on project programming, design, d

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care.In accordance with New York City, Colorado, California, and other applicable laws,

We are looking for quantitatively-minded engineers to research and propose new ways to assess the ML models deployed in the Waymo Driver. Collaborate with world-class engineering and research teams that develop large-scale ML models. Software Engineering Fundamentals:.

AI-Native Data Engineer @ TrueMeter.

Master’s or PhD in Machine Learning, Computer Science, Optimization, Statistics, Engineering, Applied Mathematics, or a related quantitative field; or equivalent high-impact industry experience. Partner deeply with Ads Engineering, Infra, and Product to architect production-grade ML systems — in

As a Senior Data Engineer at Gridware, you’ll design and scale the data infrastructure that powers our real-time grid monitoring platform. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements.

Ditto is building the agentic social network — a platform where profiles aren’t static pages, but AI agents that learn from experience, adapt, and help people form meaningful connections.As an AI-native company, Ditto is designed to operate as a continuously improving intelligence:.We believe th

Use impactful visuals and concise narratives to create compelling stories for technical and non-technical audiences in product management, partner services, commerce, strategy, data, and engineering departments. Experience working closely with data scientists and/or data engineers.

A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inferen

Collaborate with data and engineering teams to design scalable and future-proof instrumentation.

The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. By deeply analyzing our products and policies, designing and evaluating experiments, and pa

You'll be the data science lead on a nimble cross-functional squad, working alongside Product, Sales, and Engineering to shape the future of ads on Discord. Lead data science strategy and execution on GTM squad, partnering directly with PM, Sales, and Engineering leadership.

Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or

Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care.In accordance with New York City, Colorado, California, and other applicable laws,

At least a bachelor's degree in a technical field such as Engineering, Physics, mathematics, computer science, etc. Partner with Engineering and Operations leadership to drive a culture of data-driven financial impact. Build "soup to nuts" data products, taking raw eventing data from engineering tea

We are looking for a Credit Risk Manager/Staff Data Scientist to join our Loss Forecasting and Risk Analytics Team within Sofi’s Credit team.This team member will work in the team that is responsible for forecasting losses across various SoFi lending products, including Personal Loans, Student Loa

Statistics, Engineering, Sciences, Computer Science, Economics).

The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. We give engineering and product teams the tools and insights they need to ensure product re

Bachelor’s or equivalent degree in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical mo

Statistics, Operations Research, Mathematics, Computer Science, Physics, Engineering, Economics or other quantitative fields. Collaborate with engineers, product managers, and others to define Lyft’s pay policy roadmap and respond to emerging technical and business challenges.

An Advanced or equivalent Degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or related discipline. Keen to apply analytical and data engineering skills to translate business problems into scalable engineering solutions, and experience thinking about the data itse

If you love combining engineering with analytical depth, this is your canvas. Bachelor’s degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, or a related technical field. At least seven years of experience in data science or analytics engineering at a high-growth SaaS co

A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inferenc

Statistics, Engineering, Sciences, Computer Science, Economics).

As the Senior Staff Data Scientist Quantitative Credit Risk Management, Home Loans, you will be a key leader and expert in the development and management of quantitative credit risk models for our Mortgage, Home Equity, HELOC, and Jumbo loan products.This role is highly technical and requires a demo

You will work closely with the engineering teams to turn your findings into concrete changes to the patient experience. Partner with ML engineers to translate research findings into production-ready models and features. Collaborate with product, clinical, and engineering teams to define success metr

Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position. You will work closely with stakeholders across Engineering, Marketing, Finance, Risk, and Leadership to deliver strategies that enhance both customer value and p

BS/MS/PhD in Computer Science, Machine Learning, Robotics, Statistics, Physics, Math or another quantitative area. We are looking for quantitatively-minded engineers to research and propose new ways to assess the ML models deployed in the Waymo Driver. Collaborate with world-class engineering and re

Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to genera

Master’s, or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative fields; or equivalent applied industry experience. You’ll collaborate closely with Engineering, Product, Data Science, and Sales to translate ambiguous business and adver