
AI Systems Software Engineer
6 days ago
About our client:
Our client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: working with leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems solving mission-critical priorities for companies.
This growth is powered by our client's talent cloud – an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. This is orchestrated by ALAN – our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance.
ALAN accelerates workflows for model and agent evaluations, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.
Key responsibilities:
- Design and develop complex algorithms using JavaScript.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Develop and maintain high-quality, scalable codebases.
- Conduct thorough testing and evaluation of AI models.
- Stay up-to-date with industry trends and advancements in AI.
Required skills and qualifications:
- 5+ years of experience in software engineering, algorithm design, or systems-level programming.
- Strong proficiency in JavaScript, with at least 4+ years of experience.
- Proven ability to write clear, concise, and technically challenging algorithmic code.
- Strong understanding of algorithmic complexity, performance optimization, and computational constraints.
- Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus.
- Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.
- Domains of expertise:
- Core Data Structures: Trie, Segment Tree, Union Find
- Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking
- Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting
- Mathematics & Number Theory: Geometry, Probability, Modular Arithmetic
- String Processing: Suffix Trees, Rolling Hashing, Pattern Matching
- Advanced Topics: 2-SAT, Fast Fourier Transform (FFT), Linear Programming
Benefits:
As a member of our team, you will have the opportunity to work on cutting-edge AI projects, collaborate with top talent, and develop your skills in a fast-paced and dynamic environment.
Other opportunities:
You will also have access to ongoing training and professional development programs, as well as opportunities for career advancement and growth within the company.
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