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Data Science & AI/ML Tech Lead

We are looking for an exceptional technical leader to join our growing team at Nightfall. As a senior, hands-on, Applied Data Scientist in our Data Science & Engineering organization, you will drive execution, provide solid technical expertise, raise the bar of the ML Engineering team, and contribute towards shaping the long-term model and system architecture of the platform.

This is a hybrid role (3 day office) based out of our San Francisco Bay Area office.

Responsibilities

  • Drive great execution, work with the team to set clear goals, and deliver against them

  • Hands-on, Data Analysis, Machine Modeling, Technical Design and Coding

  • Help shape the architecture of the AI Platform to enable the use of cutting edge ML technologies while ensuring it is scalable and reliable

  • Implement best of practices in a fast-paced engineering environment and champion a culture of engineering excellence and productivity

Requirements

  • Minimum 5+ years of hands-on technical development experience

  • Minimum 3+ years of experience mentoring and technically leading Data Science or ML Engineering teams.

  • Strong expertise in Python is a must. Go or C++ experience is a plus.

  • Practicing Data Scientist with demonstrated business impact through the use of cutting edge, Deep Learning or NLP models using frameworks such as Pytorch, spaCy, Tensorflow, etc.

  • Strong ML Engineering expertise with solid understanding of ML Ops frameworks such as Vertex AI, Sagemaker, MLflow, etc. for managing data and model lifecycles.

  • A solid understanding of ML inferencing with hands-on experience with horizontal and vertical scaling, and the use of GPUs.

  • BS/MS in Computer Science or a related technical field.

Bonus Points

  • Experience working in high growth venture-backed startups

  • Experience training and deploying NLP based machine models or fine tuning open-source LLMs is a big plus

  • Blog, teach, mentor, or help others learn outside of your day to day responsibilities

  • Familiarity with AWS and  managed infrastructure, Docker, Kubernetes, RAG, Vector Databases

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Average salary estimate

$240000 / YEARLY (est.)
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$180000K
$300000K

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Full-time, hybrid
DATE POSTED
October 7, 2025
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