Posted:3 days ago|
Platform:
Remote
Contractual
Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
Client helps customers in two ways: Working with the world’s 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 that solve mission-critical priorities for companies.
Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of 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 also accelerates workflows for model and agent evals, 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.
Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.
We are seeking a highly analytical and technically proficient individual to join our team as a Quantitative Problem & Algorithm Developer.
This role is ideal for someone who thrives at the intersection of deep mathematical reasoning and practical software development.
You will be instrumental in contributing to this role by either crafting challenging and insightful mathematical problems, devising elegant coding solutions, or working on tasks that blend both disciplines seamlessly.
If you enjoy tackling complex "Euler-type" challenges and have a passion for both theoretical accuracy and computational efficiency, we encourage you to apply.
Develop and conceptualize original, engaging, and diverse mathematical and/or algorithmic problems.
Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels, ensuring a structured and progressive learning path.
Innovate and identify novel problem types, including those requiring a blend of number theory, combinatorial logic, optimization, and advanced data structures.
Phd or Master’s degree in Mathematics with experience of Competitive Programming.
Proven expertise in mathematical problem-solving, especially number theory, combinatorics, and algorithmic mathematics.
Strong proficiency in programming, primarily C++, Java, with additional experience in Python advantageous.
Experience with computational complexity analysis (both time and space).
Excellent analytical, logical thinking, and problem-solving skills.
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