Data scientist jobs in Pacifica, CA and nearby (627 jobs)

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

Counted Nov 10, 2026

Hiring at a glance

View jobs

Open jobs: 627
Employers: 293

Advertised starting pay

Average starting payUSD / year: $193,287Across 213 listings
Average starting payUSD / hour: $66.67Across 15 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 25%154 listings
On-site: 15%96 listings

Not specified: 60% (377 listings)

Employers hiring include Waymo (31), Uber (18), Raydar (16).

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 Pacifica, CA and nearby

Within 25 miles

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Added 1 hour ago
SS
Data Scientist (Direct Hire)
Social Security Administration
San Francisco, CA
- $107,446 to $139,684 USD / year
Serves as subject matter expert in the specialized area of data sciences and advisor on matters related to the application of mathematics, statistical analysis, modeling/simulation, machine…
Added 9 hours ago
C
Machine Learning Engineer
Coframe
Burlingame, CA
- $180,000 to $300,000 USD / year
Added 12 hours ago
Z
Senior/Staff Machine Learning Engineer, 3D Simulation
Zoox
Foster City, CA
- $225,000 to $320,000 USD / year
…generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our…
Added 12 hours ago
Z
Machine Learning Engineer, 3D Simulation
Zoox
Foster City, CA
- $155,000 to $239,000 USD / year
…generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our…
Added 12 hours ago
Senior Machine Learning Engineer
Checkr
San Francisco, CA
Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most:…
Added 15 hours ago
AB
Machine Learning Engineer, Model Experimentation
Aether Biomachines
South San Francisco, CA
- $150,000 to $200,000 USD / year
Added 16 hours ago
Staff Data Scientist
GoFundMe
San Francisco, CA
We’re looking for a Staff Data Scientist to help shape how GoFundMe uses data science to grow our impact across marketing
Added 17 hours ago
A
Senior Data Scientist, RBQM Analytics
AbbVie
South San Francisco, CA
- $109,500 to $208,500 USD / year
Added 2 days ago
T
Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
Data Scientist V (Product Measurement, Research & Silicon Infrastructure)
Added 2 days 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 3 days 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 3 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 3 days ago
DD
Sr. Data Scientist, Assay Development
DELFI Diagnostics, Inc.
Palo Alto, CA
- $130,000 to $170,000 USD / year
…advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health…
Added 3 days ago
Data Scientist, Clinical Outcomes
Midi Health
Palo Alto, CA
We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines.
Added 3 days ago
Machine Learning Scientist II, Drug Discovery Analytics
Revolution Medicines
Redwood City, CA
Added 3 days ago
O
Data Scientist, Preparedness
OpenAI
San Francisco, CA
- $265,000 to $380,000 USD / year
Added 3 days 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 3 days ago
MG
Machine Learning Engineer Intern
Match Group
Palo Alto, CA
- $47 USD / hour
Added 3 days ago
MG
Data Scientist Intern
Match Group
San Francisco, CA
- $43 USD / hour
Added 4 days ago
U
Sr Machine Learning Engineer
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
Added 4 days ago
U
Sr Machine Learning Engineer - Consumer Incentives
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
Added 4 days ago
I
Senior AI/Machine Learning Engineer - Python | TheLoops
IFS
Palo Alto, CA
- $170,000 to $185,000 USD / year
Added 4 days ago
Staff Machine Learning Engineer - Risk
Gusto, Inc.
San Francisco, CA
Added 4 days ago
Staff Machine Learning Engineer, AI Infrastructure
Waymo
San Francisco, CA
Added 4 days ago
Lead Bioinformatics & Machine Learning Scientist (Epigenomics)
Natera
San Carlos, CA
Natera is currently seeking a Lead Bioinformatics & Machine Learning Scientist to contribute to research and development within our Bioinformatics Research and Development team, focused on…

Checkr

Senior Machine Learning Engineer

Denver, CO, United States
San Francisco, CA, United States

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Job details

Posting language: English
Posted: Nov 9, 2026

Original job description

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.

We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

About the team/role

We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.

Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.

This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.

This role sits in the central Data & ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.

We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.

What you’ll do

Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.
Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.
Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.
Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.
Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.
Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.

What you bring

A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
6+ years building software professionally, with at least 2 of those building ML systems that run in production
Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Nice to have

Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
Background in document processing, OCR, or information extraction
Experience with PySpark or large-scale data processing
Ruby experience (Checkr’s platform runs on Rails)
Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

Pay Transparency Disclosure

We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

On-target Earnings OR Base Salary range (San Francisco, CA)

$207,000 - $244,000 USD

On-target Earnings OR Base Salary range (Denver, CO)

$176,000 - $207,000 USD

What We Offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity compensation, and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend

At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.

Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.

For applicants in Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).

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