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IT - AI/ML Engineer 1

Job

Mindlance

San Jose, CA (In Person)

$157,840 Salary, Full-Time

Posted 2 days ago (Updated 1 day ago) • Actively hiring

Expires 7/1/2026

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Job Description

IT - AI/ML
Engineer 1#26-15388 $73.83-$77.94 per hour San Jose, CA Onsite Job Description About the Role We are seeking a motivated Cybersecurity Data Science Intern with a strong foundation in data science, machine learning, and a demonstrated interest in cybersecurity. This role bridges the gap between advanced data-driven techniques and practical security operations. You will work alongside experienced cybersecurity professionals to analyze security telemetry, develop models for threat detection, and apply modern data science methods to real-world security problems. Responsibilities
  • Support the development of data-driven models to improve detection of threats, anomalies, and insider risks.
  • Apply machine learning techniques such as gradient descent, logistic regression, clustering, and neural networks to cybersecurity use cases.
  • Perform exploratory data analysis (EDA) on diverse security datasets (endpoint, network, cloud, identity, vulnerability).
  • Collaborate with the security operations and threat intelligence teams to design metrics, features, and models that enhance detection and response.
  • Contribute to automation workflows, anomaly scoring models, and visualization dashboards for SOC analysts.
  • Research and experiment with AI/ML techniques (e.g., embeddings, NLP, anomaly detection) to extract actionable insights from large volumes of security data.
  • Present findings and proof-of-concept results to both technical and non-technical stakeholders. Required Qualifications
  • Currently pursuing a degree (Bachelor's, Master's, or PhD) in Data Science, Computer Science, Cybersecurity, Applied Math, or related field.
  • Strong understanding of machine learning fundamentals (gradient descent, optimization, supervised/unsupervised learning).
  • Experience with Python and data science libraries (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow).
  • Basic knowledge of cybersecurity concepts such as threats, vulnerabilities, intrusion detection, and MITRE Telecommunication&CK.
  • Ability to analyze large datasets and communicate findings clearly.