Overview
We are seeking an AI Platform Engineer to build and maintain critical infrastructure supporting our machine learning operations.

Responsibilities
-Design and implement systems for model customization and evaluation.
-Develop job orchestration capabilities that efficiently span multiple datacenters.
-Optimize GPU workload management to maximize resource utilization.
-Create robust reliability tooling to ensure system uptime and performance.

Ideal Candidate
-Experience with distributed systems, containerization technologies, and GPU computing environments.
-Comfortable working with large-scale infrastructure, monitoring systems, and automation tools.
-Excited to shape the foundational platform powering our AI initiatives.
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Overview
Join our team to drive performance breakthroughs in large language model deployment.

Responsibilities
-Design and optimize distributed inference engines for low-latency, high-throughput performanceImplement advanced scheduling algorithms and parallelism strategies
-Collaborate with hardware teams on software-hardware co-design initiatives
-Ensure optimal utilization of accelerators for real-time model serving

Ideal Candidate
-Deep experience with CUDA programming
-Skilled in distributed computing frameworks
-Strong background in performance optimization techniques for transformer-based models

Overview
We are seeking a Research Scientist specializing in post-training methodologies to advance foundation model capabilities.
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Responsibilities
- Lead evaluation and benchmarking initiatives across diverse tasks and domains
- Research and design fine-tuning techniques, alignment strategies, and specialized training approaches
- Design and execute experiments to validate new methodologies
- Collaborate with cross-functional teams to translate research into production solutions

Ideal Candidate
- PhD in Machine Learning, Computer Science, or related field
- Demonstrated expertise in foundation model training, evaluation frameworks, and experimental design
- Strong publication record
- Experience with large-scale model training
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Overview
We are seeking an Applied Machine Learning Engineer to bridge the gap between research and production deployment.

Responsibilities
- Fine-tune and deploy ML models for real-world applications
- Optimize inference performance and system efficiency
- Handle customer proof-of-concepts (PoCs) and demonstrate model capabilities
- Customize solutions to meet client requirements
- Troubleshoot deployment challenges and implement scalable solutions

Ideal Candidate
- Hands-on experience with model deployment frameworks and cloud platforms
- Background in customer-facing technical roles
- Strong communication skills and ability to explain ML concepts to non-technical stakeholders
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Overview
We are seeking an AI Researcher to conduct foundational research that advances state-of-the-art AI.
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Responsibilities
- Explore areas such as test-time compute optimization, model efficiency, and scalability
- Design and execute novel experiments
- Publish findings in top-tier venues
- Collaborate with engineering teams to translate theory into practice
- Investigate system architecture and deployment strategies for robust AI performance

Ideal Candidate
- Degree in Computer Science, Machine Learning, or related field
- Strong publication record
- Expertise in deep learning, optimization, and distributed systems

Overview
We are seeking an AI Reinforcement Learning Researcher to advance LLM capabilities through novel training methods.

Responsibilities
- Design and experiment with RLHF, constitutional AI, and reward modeling techniques
- Develop and refine training methods to improve alignment, safety, and performance
- Contribute to evaluation frameworks and testing protocols
- Conduct experiments, analyze training dynamics, and integrate findings into production

Ideal Candidate
- Master’s Degree in Machine Learning, Computer Science, or related field
- Expertise in reinforcement learning and language models
- Strong background in experimental design
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Overview
We are seeking an AI Evaluation Engineer to build systems for debugging and evaluating LLM outputs.

Responsibilities
- Develop user-friendly dashboards and automated testing frameworks
- Create diagnostic tools for monitoring and improving language model performance
- Design evaluation pipelines to capture model behavior and identify failure modes
- Provide actionable insights for model improvement

Ideal Candidate
- Full-stack development and data visualization experience
- Strong skills in Python, JavaScript, and database technologies
- Understanding of LLM architectures and evaluation methodologies
- Interest in directly improving AI model quality and reliability
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