Machine Learning Researcher - Multi-Agent Systems
🌉 San Francisco, CA (On-site)
About Us
Softmax develops multi-agent reinforcement learning simulations focused on social learning scenarios. Our work explores how multiple agents can maintain individual identity while achieving coherence as a unified system—similar to multicellularity in nature.
The Role
We’re seeking a Machine Learning Researcher to design experiments, tune models, and analyze results within our multi-agent reinforcement learning framework. You’ll work closely with our engineering team to co-design infrastructure while focusing on the ML aspects of our research.
Key Responsibilities
- Design and execute experiments in multi-agent reinforcement learning
- Select and customize neural network architectures for specific learning tasks
- Tune models and hyperparameters to optimize agent performance
- Analyze experimental results and identify patterns in agent behavior
- Collaborate with engineers to ensure infrastructure meets research needs
- Translate research findings into actionable insights
Requirements
- Strong background in machine learning, particularly reinforcement learning
- Experience designing and running ML experiments
- Proficiency in at least one deep learning framework (PyTorch, TensorFlow, etc.)
- Ability to analyze complex data and draw meaningful conclusions
- Collaborative mindset and strong communication skills
Nice to Have
- Publications or significant projects in multi-agent systems
- Experience with emergent behavior or social learning models
- Familiarity with distributed training systems
- Background in complex systems or cognitive science
Company Culture
Our team values coherence, both in our technical work and our approach to collaboration. Many team members have backgrounds in practices that cultivate insight (meditation, contemplative practices, etc.), though this is not a requirement. We appreciate candidates who are thoughtful about systems — both technical and social.
Compensation
Salary between $150,000 to $300,000 per year, plus equity compensation.
Software Engineer - Simulation Infrastructure
🌉 San Francisco, CA (On-site)
About Us
Softmax develops multi-agent reinforcement learning simulations focused on social learning scenarios. Our work explores how multiple agents can maintain individual identity while achieving coherence as a unified system—similar to multicellularity in nature.
The Role
We’re seeking a software engineer to build and enhance our experimental infrastructure. You’ll work on critical systems that enable our research, focusing on scalability, flexibility, and functionality.
Key Responsibilities
- Design and implement batch processing systems for reinforcement learning training
- Enhance our simulator environments with new features and capabilities
- Build visualization tools and evaluation frameworks for complex agent interactions
- Collaborate with researchers to translate experimental needs into technical implementations
- Optimize systems for performance and scale
Requirements
- Strong software engineering background with demonstrated experience building complex systems
- Proficiency in designing and implementing scalable infrastructure
- Experience with distributed computing and batch processing systems
- Ability to work collaboratively in a research-oriented environment
- Interest in multi-agent systems and emergent behavior
Nice to Have
- Familiarity with reinforcement learning concepts
- Experience with simulation environments
- Background in visualization of complex data
- Prior work with cloud infrastructure for ML workloads
Company Culture
Our team values coherence, both in our technical work and our approach to collaboration. Many team members have backgrounds in practices that cultivate insight (meditation, contemplative practices, etc.), though this is not a requirement. We appreciate candidates who are thoughtful about systems — both technical and social.
Compensation
Salary between $150,000 to $300,000 per year, plus equity compensation.
Office Manager / Executive Assistant
🌉 San Francisco, CA (On-site)
About Us
Softmax develops multi-agent reinforcement learning simulations focused on social learning scenarios. Our work explores how multiple agents can maintain individual identity while achieving coherence as a unified system—similar to multicellularity in nature.
The Role
We’re seeking an organized and versatile Office Manager who will maintain our San Francisco office operations while providing executive assistant support and handling light HR and finance responsibilities. This position is crucial for maintaining the smooth functioning of our workplace.
Key Responsibilities
Office Management:
- Maintain office environment, supplies, and equipment
- Coordinate office layout, furniture, and technology needs
- Manage relationships with vendors, service providers, and landlord
- Oversee office security, access, and safety protocols
- Organize team events, meetings, and occasional company gatherings
Executive Support:
- Provide administrative support to leadership team
- Manage calendars and coordinate complex scheduling
- Arrange travel and accommodation when needed
- Prepare materials for meetings and presentations
- Handle sensitive information with discretion
HR & Finance:
- Assist with onboarding and offboarding processes
- Maintain employee records and documentation
- Process expense reports and basic bookkeeping
- Liaise with external HR and finance services as needed
- Support recruitment efforts with scheduling and coordination
Requirements
- Proven experience as an Office Manager or similar role
- Strong organizational and multitasking abilities
- Excellent communication and interpersonal skills
- Proficiency with office software (Google Workspace, Microsoft Office)
- Discretion and good judgment when handling confidential information
- Ability to work independently and take initiative
Nice to Have
- Experience in a startup or research environment
- Knowledge of basic HR processes and regulations
- Familiarity with finance or bookkeeping software
- Previous executive assistant experience
- Interest in technology, AI, or research environments
Company Culture
Our team values coherence, both in our technical work and our approach to collaboration. Many team members have backgrounds in practices that cultivate insight (meditation, contemplative practices, etc.), though this is not a requirement. We appreciate candidates who are thoughtful about systems — both technical and social.
Compensation
Salary between $80,000 to $150,000 per year, plus equity compensation.
