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Salary Recommendations Jobs in San Francisco
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Active Salary Recommendations roles in San Francisco, indexed directly from company ATS systems — not reposted from LinkedIn, Indeed, or Glassdoor. Upload your resume to see your match score against open positions.
Salary & Compensation Specialist
AssistRx
Omnichannel Recommendations - GTM Specialist
Constructor
Senior Product Analyst (Search & Recommendations)
Joom
Senior Software Engineer, Recommendations, Search Intelligence
Member of Technical Staff (ML Engineer, Recommendations & User Modeling)
Perplexity
Senior Machine Learning Engineer, Recommendation
Sekai
Senior Machine Learning Engineer, Search & Recommendations
Instacart
Applied Scientist - Recommendation Systems
Amazon.com Services LLC
Senior Machine Learning Engineer, Search & Recommendations
Senior Software Engineering Manager, AI/ML Recommendations, Rankings, Predictions, YouTube
2027 Applied Science Intern (Machine Learning, Recommender Systems)
Amazon International Machine Learning
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Unity Technologies
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Unity Technologies
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Unity Technologies
Search & Recommendation Data Scientist(Intelligence Planning)
42dot
2027 Applied Science Intern (Machine Learning, Recommender Systems)
Amazon International Machine Learning
Data Scientist (Search & Recommendation)
Binance
Senior Data Analyst - AI (Gen AI & Recommendation Systems)
Salla
Senior Machine Learning Engineer, Recommendation
Host at Capa, a Michelin Recommended Restaurant (On-Call)
Four Seasons
Senior AI Engineer - Recommendation and Personalisation
9fin
Staff Product Manager, Recommendations & Discovery
Babylist
Salary Restaurant Manager
Raising Cane's
Sr Manager, Talent Acquisition - Salaried Hiring Practice
Mission Critical Group
Senior Backend Engineer, Recommendations
Raya
Senior Data Scientist (Search and Recommendations)
Grab
Senior Product Manager (Recommendations)
ASOS
Senior Machine Learning Engineer (Recommendations)
ASOS
Senior Software Engineer, Search & Recommendations
Otter. ai
Senior Machine Learning Engineer (Recommendations)
ASOS
NOAA Research Assistant - AWRI (Adjunct Salaried)
NOAA Research Assistant
Software Development Engineer - Machine Learning Prime Video Recommendations, Prime Video Personalization and Discovery
Amazon.com Services LLC
Affluent Market Financial Advisor (Draw Salary plus commission)
M&T Bank
Product Manager, AI Recommendations & Intelligent Planning
Tempo
Principal Data Scientist - Vendor Recommendations & AI
Delivery Hero
Machine Learning Engineer (Recommenders)
ASOS
Senior AI Architect - GenAI & Recommendation Systems
Blend360
Manager, Data Scientist - Recommendation & Personalization Systems
Capital One
Machine Learning Scientist, Algorithmic Recommendations (Email Targeting)
The New York Times
Senior AI Architect - GenAI & Recommendation Systems
Blend360
Director of Data Science & AI, Recommender Systems and Martech
Delivery Hero
Staff or Senior Staff Machine Learning Engineer, Recommendation Algorithm
SmartNews
MT/CLS Lead Scientist - Heme/Coag/UA/Micro - Updated Salary Ranges - Sign On Bonus Eligible
LCMC Health
Professional Machine Learning Entwickler (m/w/d) Gen AI & Recommender Systems Explorer
CHECK24
CRITICAL 2. Extract from ALL sections: summary, responsibilities, requirements, qualifications, benefits, about-us. 3. Skill extraction patterns — extract X from: "Experience with X" | "Knowledge of X" | "Proficient in X" | "Familiar with X" | "X experience required" 4. salary: structured object {currency, frequency, min, max} or null — never flat numbers. 5. remote_friendly: JSON boolean true/false or null — NEVER the string "true" or "false". 6. qualifications_basic: mandatory items only. qualifications_preferred: bonus/preferred items only. 7. Array fields: return null if nothing found, NOT an empty array []. 8. Return null for any field not mentioned — do not guess or hallucinate. 9. language: 2-letter ISO code of the language the JD is written in. 10. DO NOT include the raw job description text in any field.
Airbus
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- How many salary recommendations jobs in san francisco are available?
- JobsGlitch lists active salary recommendations jobs in san francisco sourced directly from company ATS platforms — not reposted from LinkedIn.
- Are these Salary Recommendations roles actually hiring in San Francisco?
- Yes — every listing is indexed directly from company career pages (Greenhouse, Lever, Workday, Ashby). These are not aggregated from other job boards, so they reflect live hiring intent.
- What skills do Salary Recommendations jobs in San Francisco require?
- Required skills vary by employer and seniority. Browse the listings above to see the specific requirements for each open role.
- How do I apply for salary recommendations jobs in san francisco?
- Click any job listing to view the full description and apply directly on the company's career page. Upload your resume on JobsGlitch first to see your match score before applying.