ByteDance is actively hiring for 3 AI and machine learning positions, concentrated in AI Software Engineer (2) and Research Scientist (1) roles. Posted salary ranges span $416K - $438K, with 100% of listings disclosing compensation. The median posted ceiling sits at $438K. Positions are based in San Jose, CA, US, Seattle, WA, US. The most frequently requested skills across these postings are AWS, PyTorch, Python, RAG, Azure. Senior-level roles account for 66% of openings.

Skills & Technologies

AWS (3)PyTorch (3)Python (3)RAG (3)Azure (2)Docker (2)GCP (2)Kubernetes (2)Rust (2)SageMaker (2)

Locations

San Jose, CA, US, Seattle, WA, US

Hiring by Role Category

2 roles
$198K – $438K
1 roles
$187K – $438K

Open Positions (3)

AI Software Engineer

Tech Lead Software Engineer - AI Inference Infrastructure

San Jose, CA, US $208K - $438K
AI Software Engineer

Tech Lead Software Engineer - AI Inference Infrastructure

Seattle, WA, US $198K - $416K

Frequently Asked Questions

ByteDance currently has 3 open AI positions across roles including AI Software Engineer, Research Scientist. 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 ByteDance range from $416K - $438K 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 ByteDance's AI job postings are AWS, PyTorch, Python, RAG, Azure, Docker. 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.
ByteDance's AI positions are based in San Jose, CA, US, Seattle, WA, 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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