Hybrid Research Scientist Jobs

The hybrid Research Scientist job market in the United States currently offers 29 open roles, with a median midpoint salary of $146,000, reflecting strong demand for professionals blending remote flexibility with in-office collaboration. Hybrid arrangements in these postings typically require 2-3 days per week on-site, allowing researchers to leverage lab resources and team interactions while maintaining work-life balance. Leading employers driving this market include Waymo, with 7 openings focused on advanced AI applications, MongoDB offering 3 roles in data-driven research, and OpenAI posting 2 positions emphasizing cutting-edge model development. These companies, along with Anthropic and Scale AI, frequently detail their hybrid policies upfront in job descriptions, specifying expectations for in-person attendance to foster innovation in fast-paced environments. Hybrid opportunities tend to cluster near key tech and research hubs, where access to specialized infrastructure supports hands-on experimentation. Essential skills dominating these listings include machine learning, PyTorch, and Python, which appear across the majority of roles to enable efficient model training and deployment. Proficiency in deep learning and large language models (LLMs) further positions candidates for success, as employers seek expertise in generative modeling and reinforcement learning to tackle complex problems in AI and computer vision. For job seekers, targeting these skills sharpens competitiveness; tailor applications to highlight hands-on experience with TensorFlow or JAX, as hybrid setups demand seamless integration of remote coding with collaborative on-site prototyping. This market rewards adaptable scientists ready to navigate evolving AI landscapes, with roles at these top employers providing pathways to impactful contributions in transformative technologies.