⭐ Featured
Strategic Employment Partners (SEP)
AI Engineer
This role is a full-time AI Engineer position based in San Francisco, offering up to $220k plus equity. Key tasks include developing and deploying ML models for product personalization. Requires 5+ years in machine learning, with expertise in relevant tools and systems.
🌎 Country
United States
🏝️ Location
Unknown
📄 Contract
Full-time
🪜 Seniority
Mid-Senior level
💰 Range
100K+
💱 Currency
$ USD
💸 Pay
$190K - $220K (Yr.)
🗓️ Discovered
July 29, 2025
📍 Location detailed
San Francisco, CA
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🧠 Skills
#Unknown
Role description
Our client, a San Francisco-based ecommerce startup led by the founder of multiple highly-successful Bay Area technology companies, is seeking an AI Engineer to join their rapidly growing team. They are seeking an engineer to own key learning systems that directly impact the user experience and revenue. The role will involve developing and deploying ML models for product personalization and recommendations.
Term: Full Time
Location: San Francisco (onsite)
Compensation: Up to $220k + equity
Desired Qualifications:
• 5+ years of experience in machine learning or data science roles
• Strong background in ML algorithms, modeling, and deployment practices
• Experience with ML tools such as PyTorch, TensorFlow, XGBoost, or scikit-learn
• Experience with agentic AI, recommendation systems, pricing algorithms, or ranking models is preferred
• Comfortable working in a fast-paced startup environment
Our client, a San Francisco-based ecommerce startup led by the founder of multiple highly-successful Bay Area technology companies, is seeking an AI Engineer to join their rapidly growing team. They are seeking an engineer to own key learning systems that directly impact the user experience and revenue. The role will involve developing and deploying ML models for product personalization and recommendations.
Term: Full Time
Location: San Francisco (onsite)
Compensation: Up to $220k + equity
Desired Qualifications:
• 5+ years of experience in machine learning or data science roles
• Strong background in ML algorithms, modeling, and deployment practices
• Experience with ML tools such as PyTorch, TensorFlow, XGBoost, or scikit-learn
• Experience with agentic AI, recommendation systems, pricing algorithms, or ranking models is preferred
• Comfortable working in a fast-paced startup environment
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