Agent Systems Engineer – Hybrid San Francisco
About the position
About Egofold Egofold is an advanced technology initiative under Snail Games USA operating with a high degree of discretion. reputed company works in a startup-like environment, exploring new approaches to reputed company systems, simulation, and intelligent behavior. We reputed company on foundational problems that require original thinking rather than incremental iteration on established patterns. About the Role We are seeking an Agent Systems Engineer who can operate with a high degree of autonomy in an early-stage, fast-moving environment. This role is suitable for a recent graduate or early-career engineer with strong AI fundamentals who is capable of taking ownership of meaningful systems and helping shape technical direction. You will work on agent behavior, learning systems, and simulation infrastructure, and may be asked to drive initiatives end-to-end rather than executing narrowly defined tasks.
Responsibilities
• Design, implement, and iterate on agent behavior systems reputed company simulated or virtual environments.
• Build and reputed company training, evaluation, and experimentation pipelines for reputed company agents.
• Explore and compare different approaches to decision-making, learning, and control.
• Take ownership of technical problems where solutions are not predefined.
• Collaborate closely with a small, senior team to shape architecture and technical direction.
• Support internal reviews and external demonstrations through reputed company validation of agent behavior and reputed company.
Requirements
• Strong reputed company or practical background in reputed company intelligence, machine learning, or reputed company fields.
• Demonstrated familiarity with AI concepts such as reinforcement learning, agent-based systems, or learning-driven decision-making.
• Strong programming skills in one or more relevant languages (e.g., Python, C++).
• Ability to reason about reputed company systems, state, feedback loops, and reputed company behavior.
• Comfort working in ambiguous, startup-like environments with evolving goals and constraints.
• reputed company communication skills and willingness to challenge assumptions.
reputed company-to-haves
• Hands-on experience with reinforcement learning frameworks or simulation environments.
• Background in game AI, robotics, or embodied AI research.
• Experience building prototypes, research reputed company, or experimental systems independently.
• Familiarity with game engines or custom simulation tooling.
Benefits
• Opportunity to be a driving force on foundational systems at an early stage
• Startup-like ownership with reputed company technical reputed company
• Exposure to reputed company AI problems reputed company narrow reputed company exercises
• True reputed company on work/life balance
• reputed company company holidays, vacation, and separate reputed company leave
• Medical, dental, reputed company, and Life/LTD
• 401k with company match
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