- 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, and familiarity with software engineering practices for building maintainable systems.
- Experience working with large datasets and building data pipelines for feature generation, training, or inference.
- Proficiency with supervised and unsupervised learning techniques, such as classification, clustering, similarity scoring, or anomaly detection.
- Ability to evaluate models using sound statistics and understand tradeoffs related to precision, recall, accuracy, and confidence.
- Ability to write understandable, testable code with an eye towards maintainability
- Possess strong communication skills and can explain technical concepts, model behavior, and tradeoffs to engineers, researchers, and product managers.
Things that make you stand out
- 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.
For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $174,000 USD - $206,000 USD, plus bonus eligibility and equity.
For all other locations, the expected salary range for this position is $151,000 USD - $191,000 USD, plus bonus eligibility and equity.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details.
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. Additionally, if hired, we would love to bring you to our HQ in Ann Arbor for in-person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.
Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.
Identity Verification
As part of our hiring process, all candidates who receive an offer of employment will be asked to complete an identity verification through CLEAR.