AI Engineer Jobs in San Jose

San Jose's AI Engineer market currently features 13 open roles, with a median midpoint salary of $258,050, reflecting robust demand in a hub for cutting-edge technology development. This compact yet competitive landscape underscores the city's role as a focal point for AI innovation, where opportunities cluster around specialized applications in finance, robotics, and systems design. Leading the hiring charge are OKX with six openings, signaling aggressive expansion in cryptocurrency and blockchain AI integrations, followed by Figure AI with two roles that highlight a push toward humanoid robotics and autonomous systems, and Capital One with two positions emphasizing AI-driven financial modeling. Cadence Design Systems rounds out the top tier with one opening, pointing to needs in semiconductor simulation and hardware-accelerated AI. These employers' activity indicates a market prioritizing scalable, real-world AI deployments over broad experimentation, favoring candidates who can bridge theory and production. Job postings repeatedly demand reinforcement learning, PyTorch, and Python as core skills, alongside reward modeling and model evaluation, which means applicants must demonstrate proficiency in these areas to stand out—roles often require building and optimizing models for dynamic environments like trading algorithms or adaptive agents. For deep learning frameworks, TensorFlow appears frequently, suggesting versatility across tools is key. To navigate this market effectively, tailor your resume to quantify experience with PyTorch-based reinforcement learning projects, as postings prioritize measurable outcomes in experimentation and domain adaptation, increasing your chances of advancing past initial screens in this selective pool.