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Weekend Data Scientist Deep Learning Jobs in California

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion ...

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.

Senior Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: Do you ... Have experience with AI development, Deep Learning models, Tensorflow experience, agile software ...

Staff, Data Scientist

Cupertino, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

Mountain View, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

Hayward, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

San Mateo, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

Sunnyvale, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

Fremont, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

Milpitas, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Staff, Data Scientist

San Jose, CA · On-site

$132K - $264K/yr

We are seeking a Staff Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

... Deep Learning, Natural Language Processing, and Reinforcement Learning. • Experienced with end-to-end modeling projects emerging from research efforts. • Strong written and oral communication ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ... Experience applying data science and machine learning to real-world problems * Bachelor's degree or ...

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ... Experience applying data science and machine learning to real-world problems * Bachelor's degree or ...

Showing results 41-60

Weekend Data Scientist Deep Learning information

What is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

What are the most commonly searched types of Data Scientist Deep Learning jobs in California? The most popular types of Data Scientist Deep Learning jobs in California are:
What are popular job titles related to Weekend Data Scientist Deep Learning jobs in California? For Weekend Data Scientist Deep Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Data Scientist Deep Learning jobs in California look for? The top searched job categories for Weekend Data Scientist Deep Learning jobs in California are:
What cities in California are hiring for Weekend Data Scientist Deep Learning jobs? Cities in California with the most Weekend Data Scientist Deep Learning job openings:

Full-time

Re-posted 14 days ago


Job description

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

You will:

  • Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
  • Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.
  • Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.
  • Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.
  • Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products.

You have:

  • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
  • 3+ years of industry experience solving data science problems or a PhD in a quantitative field
  • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
  • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

We prefer:

  • PhD in a quantitative field
  • Experience solving problems related to Autonomous Driving or Ride Hailing
  • Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction