Walmart is actively hiring for 4 AI and machine learning positions, concentrated in Data Scientist (2) and LLM Engineer (2) roles. Posted salary ranges span $180K - $286K, with 100% of listings disclosing compensation. The median posted ceiling sits at $286K. Positions are based in Bentonville, AR, US, Sunnyvale, CA, US. The most frequently requested skills across these postings are AWS, RAG, Python, TensorFlow, Go. Senior-level roles account for 100% of openings.
Skills & Technologies
AWS (4)RAG (4)Python (2)TensorFlow (2)Go (2)Rust (2)Azure (1)Fine-tuning (1)GCP (1)Prompt Engineering (1)
Locations
Bentonville, AR, US, Sunnyvale, CA, US
Hiring by Role Category
Open Positions (4)
Data Scientist
Principal, Data Scientist
Data Scientist
(USA) Senior, Data Scientist
LLM Engineer
(USA) Staff, Software Engineer
LLM Engineer
(USA) Staff, Software Engineer
Frequently Asked Questions
Walmart currently has 4 open AI positions across roles including Data Scientist, LLM Engineer. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at Walmart range from $180K - $286K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in Walmart's AI job postings are AWS, RAG, Python, TensorFlow, Go, Rust. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
Walmart's AI positions are based in Bentonville, AR, US, Sunnyvale, CA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.
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