Computer engineer jobs in Daly City, California - Page 10Create job alerts

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

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. Mastery of softwa

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

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Software Engineer - Computer Graphics (Technical Leadership) Responsibilities:. Cross-group collaborations with research scientists, research engineers, software engineers acros

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

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

Senior Machine Learning Engineer (Computer Vision). They are seeking a Machine Learning Engineer (Computer Vision) to join their lean and agile team. This role involves ownership of their computer vision and other machine learning algorithms from design, development, testing, and deployment.

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.

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

A neuro-tech startup in San Francisco is seeking a Lead Software Engineer responsible for software engineering efforts. Join us in creating non-invasive neural interfaces that enhance human-computer interaction.

Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example,

A health technology company in San Francisco seeks a Senior Machine Learning Engineer specializing in computer vision. A strong background in computer science, neural networks, and programming is essential.

A technology-driven company in San Francisco seeks an Application Engineer to deploy and optimize computer vision systems on NVIDIA Jetson platforms.

A leading aquaculture technology company in San Francisco seeks a Machine Learning Engineer to develop and deploy machine learning models and algorithms for fish farming.

Help build a culture of innovation and engineering excellence by providing guidance to a team of machine learning engineers. Systematic and pragmatic engineer, balancing business sense of urgency with engineering excellence. Evaluate and work with vendors to ensure product deliverables and engineeri

Advanced degree in Computer Science, AI, Cognitive Science, or Human-Computer Interaction. LLMs, computer vision, or multimodal architectures. Excellent communication and collaboration skills — able to translate between research and product engineering.

Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example,

The work sits at the intersection of applied ML, NLP, LLMs, and real-world systems engineering, using Python to process unstructured signals like OCR output, application metadata, and behavioral telemetry at scale. Strong Python skills and solid software engineering fundamentals. Background in OCR,

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

Statistics, Engineering, Sciences, Computer Science, Economics). Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions.

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.

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.

Data Scientist with MMM (Market Mix Modeling).Perform hands-on coding to retrieve and analyze large datasets using Python and SQL.Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated, actionable insights to partners and stakeholders.Manage and

Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.

You have spent meaningful time as a data scientist partnering with product, engineering and growth teams. You have helped design processes that data science teams use to collaborate with their product, engineering, and marketing peers. You have a track record of acting as a thought partner to produc

We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. You will collaborate closely with Product, Engineering, Legal, Policy, and Compliance teams, acting as the quantitative ex

Synthesize Diverse Datasets: You will become an expert at blending first-party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models. Deep, expert-level knowledge of machine learning theory and its practical application, including extensi

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,

Advanced Degree and/or PhD 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 modeling

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from

Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis. Excellent communication skills and comfort collaborating across engineering and scientific teams. Team: Join a tight-knit, talent-dense team

An advanced Degree and/or PhD in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or another quantitative field. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, st

The Advanced Insights and Modeling (AIM) team is a high-impact, business-savvy group of builders—comprising machine learning engineers, data scientists, data engineers, and business strategists—who blend cutting-edge machine learning with deep product and financial insight. The blocks that form

Strong software engineering skills with proven ML experience: Productionizing models (tabular/text data preferred; not pure vision specialists) and building scalable pipelines.

Partner with Infrastructure and Kernel engineers to co-design features that improve training efficiency and model FLOPs utilization (MFU). Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or another quantitative discipline. Backed by multi-million-dollar funding and di

We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc).

Currently looking for Data Scientist:.Build complex fraud detection models that scale to run over terabyte-sized datasets.Write and interpret complex SQL queries for standard as well as ad hoc data mining purposes.Write and interpret map-reduce style data analyses using Hadoop and Pig.Work closely a

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

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from

We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real

Data engineering and/or analytics engineering experience. Work closely with other functions, such as engineering, product, growth, design, and user research.

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 partner deeply with product, design, and engineering to surface insights, design experim

We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike.

Statistics, Engineering, Sciences, Computer Science, Economics). Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business.

Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems. Improve the feature engineering and model training pipelines that power our production systems. Strong software engineering and coding skills in Python, with experience contributing to production codebases.

Master’s, or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative fields; or equivalent applied industry experience. Strong communication skills, with an ability to clearly explain model behavior, constraints, trade-offs, and recommendati

Data Science, Industrial-Organizational Psychology, Computer Science, Business Analytics, or related field.