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Anyscale
San Francisco, CA, United States
About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart ,
Job Source: AnyscaleWaymo
Mountain View, CA, United States
Senior Software Engineer, Inference, ML Platform 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 impro
Job Source: WaymoLiftoff
Redwood City, CA, United States
Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. Liftoff's solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesse
Job Source: Liftoffsalesforce
San Francisco, CA, United States
About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new pa
Job Source: salesforceWoven
Palo Alto, CA, United States
Palo Alto, CA / Product & Technology - AD/ADAS / Employee / hybrid Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test
Job Source: WovenSnap Inc.
Palo Alto, CA, United States
Staff Software Engineer, ML Platform page is loaded Staff Software Engineer, ML Platform Apply locations Palo Alto, California Seattle, Washington San Francisco, California Los Angeles, California time type Full time posted on Posted 23 Days Ago job requisition id R0034586 Snap Inc is a technology company
Job Source: Snap Inc.Woven by Toyota
Palo Alto, CA, United States
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City - our test course for advanced mobility - we're bringing greater freedom, safet
Job Source: Woven by ToyotaSambaNova Systems
Palo Alto, CA, United States
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite is the first full-stack, generative AI platform, from chip to model, op
Job Source: SambaNova SystemsSan Mateo, CA, United States
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible.
The Opportunity
Would you like to be part of the ML Training and Inference Infrastructure team that enables autonomous driving and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
We build and operate the base layer of ML tools, deep learning frameworks, and inference libraries used by our applied research teams for in- and off-vehicle ML use cases. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here.
In this role, you will:
Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
Build the Off-vehicle inference service powering our Foundational models and the models that improve our rider experiences.
Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
Enable the junior engineers in the team to grow their careers by providing technical guidance and mentorship.
Qualifications
4+ years of ML infrastructure experience.
Experience building large-scale distributed multi-node GPU model training and/or high throughput, low latency serving use cases.
Experience with training frameworks like PyTorch and OSS frameworks like Ray.
Experience with GPU-accelerated inference using TensorRT, Ray Serve, or a similar framework.
Experience working with cloud providers like AWS.
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 $196,000 to $319,000. 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 Software Engineer, ML Platform jobs in San Mateo, CA, United States
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