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Sofar Ocean
San Francisco, CA, United States
The Company Sofar is on a mission to connect the world’s oceans. We design, build, and deploy the largest privately owned network of marine weather sensors to power the world’s best marine weather forecasts. Our data helps our customers to increase efficiency and reduce emissions, delivering tools to governments and other stakeholders to underst
Job Source: Sofar OceanCandid Health
San Francisco, CA, United States
What we do We’re fixing one of the most broken and costly pieces of the US healthcare system: medical billing. Today, healthcare providers spend over $250B each year on administrative overhead just to get paid by insurance. Medical billing is expensive because it’s nuanced and hard - maybe ~100x harder than credit card payment processing - and bec
Job Source: Candid Healthinsitro
San Francisco, CA, United States
The Opportunity At insitro, we are trying to greatly increase the success rate of drug development by combining human biology and machine learning, at scale. To enable that mission we need a software layer that ties together the scientific, automation, and machine learning platforms: that software is our Lab Platform! We’re a team of ~9 engineers
Job Source: insitroLutra AI
Palo Alto, CA, United States
Lutra is a cutting-edge technology company that makes it easy to deeply leverage AI in our work and lives, so that we can reclaim time to spend on the things that truly matter to us. We are a small team based in the San Francisco Bay Area, with deep AI expertise. If you enjoy learning and using the latest AI technologies, and want to turn them in
Job Source: Lutra AISnorkel AI
Redwood City, CA, United States
At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organiza
Job Source: Snorkel AIRCM Life Sciences and IT
San Francisco, CA, United States
Job Title: Software Engineer Job Function: Full Stack Software Engineer Job Type: Perm Location: Hybrid, San Francisco Bay Area Compensation Range: $160K - $200K About RCM: RCM Life Sciences & IT is a leading provider of IT Business Solutions and Engineering Services to over 1,000 clients in the commercial and government sectors. RCM partners
Job Source: RCM Life Sciences and ITAptos
Palo Alto, CA, United States
Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission
Job Source: AptosLutra AI
Palo Alto, CA, United States
Lutra is a cutting-edge technology company that makes it easy to deeply leverage AI in our work and lives, so that we can reclaim time to spend on the things that truly matter to us. We are a small team based in the San Francisco Bay Area, with deep AI expertise. If you enjoy learning and using the latest AI technologies, and want to turn them into
Job Source: Lutra AIFoster City, CA, United States
We are seeking a highly skilled software engineer to design and develop platforms that support and facilitate AI model development for the Perception component of our autonomous driving stack. In this role, you will work closely with Machine Learning (ML) engineers, data scientists, and software engineers to build scalable and high-performance applications that enable ML engineers to efficiently curate and build model training datasets, as well as evaluate their models across petabytes of multimodal data. You will be responsible for conducting the design and implementation of the frontend application of various MLOps systems, ensuring that they follow best practices to maximize the tooling efficiency and ML engineers’ productivity.
In this role, you will:
Collaborate with ML engineers and data scientists to understand business requirements and design MLOps applications that facilitate effective data operations, reveal data insights, and boost engineers’ productivity in ML model training and validation.Develop the front end of the MLOps applications, for example, a Dataset Management platform that enables ML engineers to curate label data for model training. Another example is the Metrics platform that enables ML engineers to build their own metrics and dashboards to evaluate the performance of their models.Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.Monitor and optimize the performance of the applications to ensure high availability, scalability, and reliability, to support the development of mission-critical autonomous driving technology.Continuously define problems and opportunities to iterate the application with a visionary product roadmap that keeps stakeholders on the same page.Stay up-to-date with the latest trends and technologies in MLOps and data visualization, specifically related to autonomous driving perception and machine learning.Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.At least 5 years of experience in software engineering and front-end application development.Experience designing and building modern data-intensive applications such as data warehouses that query and visualize data at a large scale.Experience with modern web frameworks (e.g. react, angular, vue), python API frameworks (e.g. FastAPI, Django), and writing high-quality backend Python code.Knowledge of SQL basics.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.Bonus Qualifications
Experience in MLOps application development and ML-related development in the Autonomous Driving industryExperience with Plotly Dash framework is a plusExperience working with distributed data processing platforms such as DatabricksCompensation and Benefits
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $179,000-$294,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.Follow us on LinkedInAccommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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Email Alert for Full Stack Software Engineer jobs in Foster City, CA, United States
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