Machine Learning Engineer

WitnessAI
Mountain View
Workplace: OnsiteFull timeUSD 36,000 - 60,000Function: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Startup mindset","Shipping","Iteration","Experiment design","Communication"]

Design, build, and evaluate language models for AI security products. Own the full ML lifecycle—from dataset curation and preprocessing to experiment design, evaluation, and visualization—covering accuracy, robustness, fairness, and safety. Develop knowledge graphs to improve context-driven performance, translate research ideas into engineering workflows, and fine-tune, optimize, and integrate models into production with reliability, scalability, monitoring, and CI/CD best practices.

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FursaFursa
WitnessAI
WitnessAI
2 days ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design, build, and evaluate language models for AI security products. Own the full ML lifecycle—from dataset curation and preprocessing to experiment design, evaluation, and visualization—covering accuracy, robustness, fairness, and safety. Develop knowledge graphs to improve context-driven performance, translate research ideas into engineering workflows, and fine-tune, optimize, and integrate models into production with reliability, scalability, monitoring, and CI/CD best practices.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build scalable pipelines to collect, preprocess, and manage datasets for LLM training and evaluation.
  • •Design and run experiments to evaluate LLMs for accuracy, robustness, fairness, and safety.
  • •Create dashboards, reports, and visualizations to communicate evaluation results, trends, and failure cases.
  • •Develop and leverage knowledge graphs to structure data, enrich evaluation, and improve model performance.
  • •Fine-tune, optimize, and integrate models into production systems with reliability, scalability, monitoring, and CI/CD best practices.

Pay and Benefits

Salary: USD 36,000 - 60,000

Key Requirements

  • •2–5+ years working in machine learning or data science, ideally in a security or infrastructure-heavy environment.
  • •Strong software engineering background with Python, testing frameworks (pytest/unittest), and CI/CD tools.
  • •Proficiency with ML frameworks such as PyTorch and ML fundamentals (supervised/unsupervised learning, deep learning, NLP).
  • •Experience with data engineering tools such as Spark, Kafka, and Airflow.
  • •Familiarity deploying models on cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
Experience:2+ yearsMachine learningData scienceLLMsSecurityCybersecurityNLP
Skills:Startup mindsetShippingIterationExperiment designCommunication
Tech Stack:PythonPytestUnittestPyTorchSparkKafkaAirflowAWSGCPAzureDockerKubernetesCI/CDNLPDeep learning

Company Brief

WitnessAI
Builds AI-driven solutions to analyze video and sensor data for automated incident detection, evidence capture, and investigation workflows to support security and operations teams.
Industry: Surveillance & Security Hardware
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