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Zoox
San Mateo, CA, United States
Our group's mission is to design, prototype and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our Artificial Intelligence (AI) and readiness for launch. We use recent advances in machine learning, statistics, optimization, and numerical methods to verif
Job Source: ZooxWaymo
Mountain View, CA, United States
Staff Machine Learning Engineer, Model Optimization Mountain View, California, United States Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to im
Job Source: WaymoWaymo
Mountain View, CA, United States
Staff Machine Learning Engineer, Model Optimization Mountain View, California, United States Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve
Job Source: WaymoHelm
Redwood City, CA, United States
You will: You will collaborate closely with research engineers to perform research development, particularly focused on construction and deployment of ML models to run optimally on GPU’s or AI accelerators. You will use your judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems. Specifically, you w
Job Source: HelmDatabricks
San Francisco, CA, United States
P-984 Founded in late 2020 by a small group of machine learning researchers, Mosaic AI enables companies to create state-of-the-art AI models from scratch on their own data. From a business perspective, Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should
Job Source: DatabricksThe Learning Experience #398
San Francisco, CA, United States
Senior Machine Learning Engineer, Ads Optimization Reddit Share this job San Francisco, CA, USA $216700:$303400 Remote Full Time Share this job Role Highlights API Product Management Product Development Optimization Infrastructure Data Automation Forecasting Research Embeddings KPI Testing Security Server Tools, Libraries and Frameworks A
Job Source: The Learning Experience #398Waymo
Mountain View, CA, United States
Senior Machine Learning Engineer, Runtime & Optimization Mountain View, California, United States Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to imp
Job Source: WaymoSan Francisco, CA, United States
As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities. Advertiser optimiz
Job Source: RedditFoster City, CA, United States
Our group's mission is to design, prototype, and productionize novel methods, tools, and infrastructure for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our AI and readiness for launch. We use recent advances in machine learning, optimization, and numerical methods to verify/validate our software and AI in the most challenging environments, and subsequently develop tools to enable other teams at Zoox to do the same.
We are looking for experienced software engineers who can design, implement, and maintain large-scale high-performance machine learning systems. In this role, you will be responsible for architecting and scaling the core capabilities of our platform. You will work cross-functionally with engineers in AI, simulation, ML platform, and infra to push the boundaries of scalability and performance, and bring state-of-the-art machine learning and optimization applications to production.
In this role, you will: Build the foundational blocks of our machine learning engine used for simulations, and improve its core capabilities
Design and support large-scale high-performance infrastructure services
Lead complex cross-functional projects
Keep up with the state-of-the-art distributed systems and AI frameworks
Communicate your work to other teams at Zoox
Qualifications: 7+ years of industry experience in architecting and scaling distributed systems in production
Experience building high-performance machine learning workflows
BS/MS in Computer Science or equivalent experience
Fluency in production-level Python
Bonus Qualifications: Experience building resilient high-performance services in the cloud
Experience with hyperparameter optimization or large-scale simulations
Experience with CUDA
Fluency in C++
Experience with autonomous vehicles
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $204,000 to $294,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
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 LinkedIn
Accommodations
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 Senior/Staff Machine Learning Engineer – Distributed Optimization Engine jobs in Foster City, CA, United States
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