PitchBook is actively hiring for 5 AI and machine learning positions, concentrated in AI/ML Engineer (4) and MLOps Engineer (1) roles. Posted salary ranges span $150K - $325K, with 100% of listings disclosing compensation. The median posted ceiling sits at $240K. The majority of these positions (100%) are listed as remote, with physical offices in Seattle, WA, US, New York, NY, US. The most frequently requested skills across these postings are RAG, Python, Docker, Kubernetes, LangChain.
Skills & Technologies
RAG (5)Python (4)Docker (3)Kubernetes (3)LangChain (2)PyTorch (2)TensorFlow (2)Transformers (2)scikit-learn (2)AWS (1)
Locations
Seattle, WA, US, New York, NY, US
Hiring by Role Category
Open Positions (5)
MLOps Engineer
Director of Engineering, Data Collections Technology
AI/ML Engineer
Associate Machine Learning Engineer
AI/ML Engineer
Sr. Machine Learning Engineer
AI/ML Engineer
Sr. Machine Learning Engineer
AI/ML Engineer
Associate Machine Learning Engineer
Frequently Asked Questions
PitchBook currently has 5 open AI positions across roles including MLOps Engineer, AI/ML 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 PitchBook range from $150K - $325K 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 PitchBook's AI job postings are RAG, Python, Docker, Kubernetes, LangChain, PyTorch. 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.
PitchBook's AI positions are based in Seattle, WA, US, New York, NY, 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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