or apply directly on Censys's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Censys's roles stay open a median of 17 days
- Reposted
- No
- Salary listed
- No 10% of Censys's roles list one
- Ghost-job risk at Censys
- moderate 8 stale, 2 reposted of 40 open
- Hiring momentum
- 50 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 Censys's own greenhouse board since 2026-08-03. Full hiring picture for Censys.
About this role
As a Senior Machine Learning Engineer at Censys, you will build and enhance machine learning models and data-driven systems that classify and enrich large amounts of Internet data. Your role will involve designing applied ML workflows, collaborating with various teams, and leveraging your expertise in machine learning and software engineering to improve data quality and insights. You'll work iteratively to support the company's mission of transforming raw Internet telemetry into valuable datasets for internal and customer-facing applications.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- 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 Censys as an employer.
What you need
- 5+ years of experience in data science, machine learning engineering, or software engineering with applied ML responsibilities
- Experience building and deploying machine learning or statistical models in production environments
- Experience programming in Go/Python
- Experience working with large datasets and building data pipelines for feature generation, training, or inference
- Proficiency with supervised and unsupervised learning techniques
- Ability to evaluate models using sound statistics
Nice to have
- Experience building classification, enrichment, or labeling systems for messy or partially labeled data
- Experience deploying models in containerized environments, like Kubernetes
- Experience with at least one cloud provider, like AWS, Azure, or GCP
- Familiarity with feature stores, model serving, MLOps workflows, or tools for experiment tracking
- Familiarity with security, Internet measurement, or network-derived datasets
What you get
- Equity
- Health, dental & vision coverage
- Retirement with company contribution
- Parental leave
- Mental health & wellness benefits
- Flexible PTO
Worth weighing
- No specific mention of the tech stack beyond Go/Python
- Remote role may have localized pay adjustments based on work location
- Candidates must keep cameras on during video interviews
- In-person onboarding at HQ in Ann Arbor for new hires
Summarised from Censys's posting. Read the full original.
Listed by Censys on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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