Data scientist jobs in Berkeley, CA and nearby (548 jobs)

Data scientist jobs within 25 miles of Berkeley, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 548
Employers: 249

Advertised starting pay

Average starting payUSD / year: $198,787Across 187 listings
Average starting payUSD / hour: $63.30Across 10 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 25%139 listings
On-site: 17%95 listings

Not specified: 57% (314 listings)

Employers hiring include Waymo (31), Uber (18), OpenAI (17).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Berkeley, CA and nearby

Within 25 miles

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Added 16 hours ago
Machine Learning Engineer (Mid-Level)
Clera
San Francisco, CA
- Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring.
Added 1 day ago
Machine Learning Engineer
Raydar
San Francisco, CA
…make real-time risk calls in a payments setting, owning the data pipelines, evaluation and metrics behind them. The role leads modeling work as an individual contributor, with room to build…
Added 1 day ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 1 day ago
O
Data Scientist, Preparedness
OpenAI
San Francisco, CA
- $265,000 to $380,000 USD / year
Added 1 day ago
Senior Pricing & Monetization Data Scientist
Fivetran
Oakland, CA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their…
Added 1 day ago
MG
Data Scientist Intern
Match Group
San Francisco, CA
- $43 USD / hour
Added 2 days ago
U
Sr Machine Learning Engineer
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
Added 2 days ago
U
Sr Machine Learning Engineer - Consumer Incentives
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
Added 2 days ago
Staff Machine Learning Engineer - Risk
Gusto, Inc.
San Francisco, CA
Added 2 days ago
Staff Machine Learning Engineer, AI Infrastructure
Waymo
San Francisco, CA
Added 2 days ago
Machine Learning Engineer
Reddit
San Francisco, CA
Added 2 days ago
Senior Data Scientist
Reddit
San Francisco, CA
Added 2 days ago
Senior Staff Data Scientist, Money
Intuit
OAKLAND, CA
The team is seeking a Sr. Staff Data Scientist to serve as an analytical leader & strategic thought partner across our fast money & lending products - spanning ref
Added 3 days ago
Senior Data Scientist
Acrobat Genomics
San Francisco, CA
As Senior Data Scientist, you'll lead the development of our computational platforms across multiple projects and technology areas and will work closely with our wet lab
Added 3 days ago
Senior Machine Learning Engineer
Casap
San Francisco, CA
Added 3 days ago
Big Data Architect
INTELLISWIFT INC
San Ramon, CA
Minimum 10 years of experience in working on Data warehouse and integration solutions.
Added 3 days ago
Data Architect
INTELLISWIFT INC
San Ramon, CA
Added 3 days ago
Sr. Data Architect with Compliance and regulatory experience (CCAR IHC)
INTELLISWIFT INC
San Ramon, CA
9-10 years' experience in a data architect role with deep knowledge of Enterprise Data Architecture concepts.
Added 3 days ago
Machine Learning Scientist, Biomolecular Structure Prediction
Profluent
Emeryville, CA
Added 3 days ago
IG
Machine Learning Engineer, Inference & Serving (Speech LLM)
IntelliPro Group Inc.
San Francisco, CA
- $170,000 to $320,000 USD / year
Added 3 days ago
Senior Machine Learning Engineer (Growth)
Discord
San Francisco, CA
Added 3 days ago
Staff Machine Learning Engineer - Commerce & Growth Intelligence
Apple
San Francisco, CA
Our work spans model inference, distributed ML workloads, data processing, and integration with cloud services and on device intelligence on Apple devices. You’ll help shape how these…
Added 3 days ago
Senior Staff Machine Learning Engineer, Perception, Simulation Realism
Waymo
San Francisco, CA
Added 3 days ago
TT
Machine Learning Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $325,000 USD / year
- Develop and deploy models for parsing and interpreting unstructured data.
Added 3 days ago
Machine Learning Engineer
Raydar
San Francisco, CA

Waymo

Senior Staff Machine Learning Engineer, Perception, Simulation Realism

Mountain View, CA, United States
San Francisco, CA, United States

$298,000 - $368,000 USD

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Applications open in a new tab.

Job details

Pay: $298,000 - $368,000 USD
Posting language: English
Posted: Nov 4, 2026

Original job description

Waymo is an autonomous driving technology company with the mission to be the world's 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 access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

About the Team: The "Oracle" for Autonomous Driving

Our mission is to build the high-fidelity, platform-agnostic Ground Truth (GT) engine that powers the next generation of autonomous vehicle (AV) simulation and evaluation. We function as the "Oracle" - by reprocessing onboard logs offline using state-of-the-art ML Foundation Models, we generate semantic signals that significantly outperform real-time onboard software.

Since our inception in early 2025, we have moved from concept to a fully operational end-to-end ML solution. As we head into 2027, we are scaling this "Oracle" to become the backbone of all large-scale evaluation, enabling the business to test software at a level of rigor and realism previously thought impossible.

The Role

We are looking for a strategic technical leader to drive the ML perception architecture for Sim GroundTruth. This role sits at the critical intersection of cutting-edge perception ML research, foundation models, and massive-scale offline data engineering. As a Senior Staff Machine Learning Engineer, you will serve as the chief technical authority for our perception models, guiding and mentoring ML engineers to solve the "technical moat" of high-fidelity 3D perception and ML inference at a petabyte scale.

Key Responsibilities

Scalable ML Architecture & Signal Expansion: Architect a modular, extensible ML framework capable of rapidly absorbing a growing list of complex signal requirements. You will lead the transition from specialized models to unified Foundation Model architectures that maintain "Oracle" quality while scaling to hundreds of new semantic categories.
Strategic Ownership & Quality Leadership: Define the multi-year roadmap for signal quality, coverage, and reliability. Your mandate is to ensure our signals don’t just match onboard software - they set the industry benchmark for ground truth accuracy.
ML Scale & Inference Efficiency: Lead the optimization of high-fidelity perception model inference and compute efficiency across massive, petabyte-scale datasets, collaborating with backend infrastructure leads to support rigorous, high-frequency evaluation.
Stakeholder & Ecosystem Growth: Act as the primary interface for "Application Owners" across the company. You will translate complex simulation needs into technical requirements and aggressively grow our customer base to ensure every major software launch is "Oracle-validated."
Technical Leadership & Mentorship: Serve as the senior technical leader and mentor for ML perception engineers, championing modeling best practices, architectural rigor, and driving technical execution on mission-critical P0 perception initiatives.

Requirements

Education: Master’s or PhD in Computer Science, Machine Learning, Robotics, or a related field (PhD preferred).
Technical Leadership: Proven track record of senior technical leadership setting technical vision, architecting complex ML systems, and mentoring senior engineers and research scientists.
Cross-Stakeholder Alignment: Proven track record of navigating complex organizations to gather requirements from diverse customers and aligning them into a unified technical roadmap. You can negotiate Roles & Responsibilities (R&R) across competing priorities.
Technical Depth: Hands-on experience with an ability to technically lead ICs daily, including deep knowledge of codebases, eval/data pipelines, and model architectures.
ML & Perception Expertise: Deep understanding of Foundation Models (VLMs or MMLMs) and computer vision / perception architectures (e.g., Transformers, 3D detection, scene reconstruction), specifically in the context of post-training, fine-tuning, or inference-time scaling.
Proficiency: Expert-level skills in Python, Numpy, and deep learning frameworks (PyTorch or JAX).

Preferred Qualifications

Systems Engineering: Experience building and scaling distributed systems or data pipelines at a petabyte scale.
Object Detection & AV Perception: Deep expertise in 2D and 3D object detection, multi-modal sensor fusion (camera, LiDAR), tracking, and offboard ground-truth generation for autonomous vehicles.
Software Rigor: Proficiency in C++ and experience with production-grade ML deployment.
Academic Impact: A strong publication record at top-tier conferences (CVPR, ICRA, NeurIPS) or leadership in major open-source projects.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$298,000 - $368,000 USD

Apply About employer

More about this job

Skills

Machine learning
Oracle
ML
Research
Data engineering
Coaching
Leadership
Computer science
Robotics
Python
NumPy
Deep learning
PyTorch
C++

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