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Sr. Project Engineer
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United States
Interface with suppliers for field support of various equipment and systems.
Added just now
Engineer lead (Java) - ST, Seattle WA
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Implements service monitoring across all platforms to ensure continuous availability and operational continuity of critical systems
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- $225,000 to $321,000 USD / year
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Added 5 mins ago
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Machine Learning Engineer, 3D Simulation
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- $155,000 to $220,000 USD / year
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Partner Solutions Architect
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Added 6 mins ago
Technology Strategy Technical Lead
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Experienced Civil EIT - Transportation/Traffic
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AI Engineer
Computer Services, Inc.
Remote, United States
The AI Engineer II independently develops and supports AI engineering capabilities that enable reusable, secure, and scalable AI-assisted software delivery. This role builds components of…
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Mechanical Design Engineer 4
United Launch Alliance
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Autonomously execute responsibilities of a Centaur V Mechanical Authorized Systems Engineer (ASE) / Responsible Systems Engineer (RSE)
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Mechanical Design Engineer 2
United Launch Alliance
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…of rocket scientists and support employees combined with the systems and processes we use to pull them together. As a ULA employee, you'll have the opportunity to grow in your career while…
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Mechanical Design Engineer 2
United Launch Alliance
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Mechanical Design Engineer 1
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Prop Systems Design Engineer 1
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RF Comms Systems Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
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Security Engineer
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…configuration assessments, and confirm that pilot and production systems meet security…
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Software Development Engineer III, Advertising Technology
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…intuitive advertiser experiences, high-performance ad delivery systems, and intelligent, AI-powered optimization. We are growing our Advertiser Experience engineering team and are looking…
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Field Service Engineer
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Deliver fully coordinated solutions, which may include peripherals, communications, operating systems and applications software
Added 9 mins ago
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Remote Technical Support Engineer
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Santa Clara, CA · Wilmington, DE
- $28.85 to $54.09 USD / hour
As a Remote Technical Support Engineer, you will join Agilent's CrossLab Online Technical Support Team, providing remote hardware, software, and application support to customers across the…
Added 10 mins ago
Systems Integration Specialist
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You will join our Global Support team as a Systems Integration Specialist. As a Systems Integration Specialist you will play a pivotal role in turning what our customers have purchased into…
Added 11 mins ago
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Senior Director of Engineering
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Portland, ME
- $150,000 to $180,000 USD / year
…engineering, ensuring the reliability of critical building systems and maintenance programs. The environment includes specialized mechanical systems supporting areas such as operating…
Added 11 mins ago
Sales Operations Manager
ServiceNow
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It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 12 mins ago
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Senior Technical Solution Architect
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San Francisco, CA
- $175,000 to $195,000 USD / year
You are a hands-on engineer: TypeScript or Python, SQL, and cloud infrastructure (AWS), with hands-on experience integrating enterprise systems such as ERPs, TMS platforms, EDI, SFTP, and…
Added 13 mins ago
Audio Control Module Product Development Engineer
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In-vehicle audio systems are critically important to the customer’s experience in our vehicles as Ford transitions from a manufacturer of vehicles to a producer of vehicles for the delivery…

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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