Machine Learning Engineer

Bay Areafull-timemid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

2–5+ years working in machine learning or data science, ideally in a security or infrastructure-heavy environment. Technical Skills: Strong software engineering background (Python,

Technical Tools

Machine Learning EngineerData

Responsibilities

~1 min read

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Strong software engineering background (Python, testing frameworks like pytest/unittest, CI/CD tools).
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Proficiency in ML frameworks such as PyTorch.
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Experience with data engineering tools (e.g., Spark, Kafka, Airflow).
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Familiarity with deploying models on cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
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Strong knowledge of ML fundamentals (supervised/unsupervised learning, deep learning, NLP).

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Security Awareness: Interest or background in cybersecurity, adversarial ML, anomaly detection, or related fields.

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Startup Mindset: Comfortable working in fast-moving, ambiguous environments with a focus on shipping and iterating quickly.

Nice to Have

~1 min read

Research or industry experience in adversarial ML, model robustness, or explainable AI.
Experience building interactive dashboards for model monitoring and visualization.
Contributions to open-source ML, NLP, or security projects.

$36,000-$60,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)