Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • Samsung Electronics Co., Ltd.

    Data Scientist, Machine Learning

    Mountain View, CA, United States

    Position Summary Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsu

    Job Source: Samsung Electronics Co., Ltd.
  • Proprius

    Machine Learning / Data Scientist

    San Francisco, CA, United States

    Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Our client is a digital invention agency focused on machine learning methodologies, enterprise mobile and web applications, eCommerce, augmented reality and IoT. They look to innovatively make this world a better place with each and

    Job Source: Proprius
  • BeInCrypto

    Data Scientist, Machine Learning

    Palo Alto, CA, United States

    • Ending Soon

    What you'll be doing: Build best-in-class AI chatbots that guide users through their Aptos journey by translating our research papers, blogs, and technical documentation into more accessible content Improve and optimize LLMs for use in production systems Define, build, and deliver data pipelining architecture for AI-driven applications. Work w

    Job Source: BeInCrypto
  • Citizen

    Data Scientist, Machine Learning

    San Francisco, CA, United States

    • Ending Soon

    About Citizen Citizen is the No. 1 public safety app in the U.S., with a mission to make the world a safer place. Citizen provides 911 alerts so people can use their phones to keep themselves, and the people and places they love, safe. Citizen has notified people to evacuate burning buildings, deterred school buses from nearby terrorist attacks, a

    Job Source: Citizen
  • Aptos

    Data Scientist, Machine Learning

    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: Aptos
  • DAOmatch

    Data Scientist, Machine Learning at Aptos

    Palo Alto, CA, United States

    Data Scientist, Machine Learning at Aptos 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 d

    Job Source: DAOmatch
  • Attentive Inc

    Senior Data Scientist, Machine Learning

    San Francisco, CA, United States

    About Attentive: Attentive® is the leader in conversational commerce, reinventing business to consumer communication. Our SMS-first software platform helps everyone from entrepreneurs to enterprises strengthen relationships with their consumers in a new way. Through two-way, real-time, personalized communications, we drive billions in e-commerce re

    Job Source: Attentive Inc
  • Attentive

    Senior Data Scientist, Machine Learning

    San Francisco, CA, United States

    • Ending Soon

    About Attentive: Attentive is the world’s #1 conversational marketing platform, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer's purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale.

    Job Source: Attentive

Data Scientist, Machine Learning

Foster City, CA, United States

The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will be responsible for partnering with our AI, simulation, and mission assurance teams to drive improvements, inform development, and identify high leverage projects on our path towards autonomy. You will be able to drive how Machine Learning is leveraged for offline use. You will play a key role in enabling Zoox to develop and scale with a data-driven environment. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. In this role, you will: Build scalable ML pipelines including experimentation, production and monitoring

Build capabilities which can be leveraged across the company for search, similarity and exposure computations

Collaborate with our behavior analysis teams to develop models to quantify and qualify our driving

Identify key areas of investment for our perception, prediction, and planning teams

Establish best practices and statistical rigor around data-driven decision-making

Qualifications Bachelor's, Master's or PhD in CS, statistics, mathematics or relevant fields

Fluency in Python or Scala

Familiarity with SQL

Experience with Spark or large-scale data analysis

Experience designing metrics, building mechanisms to fuel business insights, and driving decision-making at various levels in an organization

Bonus Qualifications Experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training

Basic fluency in C++

Experience with geospatial data analysis

Familiarity with or exposure to experimentation platforms

Compensation 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 $178,000 to $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 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.

Apply

Create Email Alert

Create Email Alert

Email Alert for Data Scientist, Machine Learning jobs in Foster City, CA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.