or apply directly on Checkr's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Checkr's roles stay open a median of 27 days
- Reposted
- No
- Salary listed
- No 0% of Checkr's roles list one
- Ghost-job risk at Checkr
- high 23 stale, 1 reposted of 51 open
- Hiring momentum
- 109 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Checkr's own greenhouse board since 2026-08-03. Full hiring picture for Checkr.
About this role
The Senior Machine Learning Engineer at Checkr will be responsible for building and deploying AI systems that enhance the company's core products, particularly in background checks. This role involves designing ML models, writing production code, and collaborating with cross-functional teams to translate business problems into effective ML solutions. The engineer will also focus on using LLMs and APIs to optimize performance and efficiency in production environments.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Checkr as an employer.
What you need
- 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 years building ML systems that run in production
- Strong Python fluency; ability to write clean, testable, well-structured code with solid OOP instincts
- Hands-on experience using LLM APIs in production systems
- Experience building and maintaining APIs and working with CI/CD pipelines
- Comfort with AI-assisted workflows and experience using LLMs in production contexts
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)
What you get
- 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
Worth weighing
- Role requires in-office presence 3+ days a week in San Francisco or other hub locations
- No specific mention of remote work flexibility beyond initial recruiting discussions
- Compensation range is provided but varies by location, with a focus on geographic cost of labor
Summarised from Checkr's posting. Read the full original.
Listed by Checkr on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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