Software Engineer – Open Source Contributor

Job not on LinkedIn

🔥 9 minutes ago

🌐 India, United States – Remote

🇮🇳 India – Remote 🇺🇸 United States – Remote

💵 $50 - $100 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Create realistic, technically challenging programming tasks involving bug fixes, feature development, code refactoring, and performance optimization • Build deterministic reinforcement learning environments with dependencies, test suites, configurations, and execution instructions • Develop reliable golden reference solutions demonstrating expected behavior and satisfying task requirements • Design deterministic evaluators and test cases that accept valid implementations and reject incorrect, incomplete, or non-compliant solutions • Investigate software defects, troubleshoot unexpected behavior, and resolve performance bottlenecks across diverse codebases • Implement robust and scalable features according to software development principles and coding standards • Improve codebases through refactoring, enhanced maintainability, execution efficiency, and reliability • Review code contributions and technical submissions for correctness, clarity, performance, and best-practice adherence • Document problem statements, implementation decisions, debugging strategies, testing procedures, and solution reasoning • Refine tasks and evaluation criteria based on observed model behavior and identified weaknesses • Complete approximately 15 hours of work per task run, depending on complexity and workflow • Meet task requirements and weekly submission minimums

🎯 Requirements

• Strong software engineering experience in one or more programming languages, including Python, Java, C++, Go, Rust, or TypeScript • Demonstrated experience developing backend systems, scalable services, APIs, or complex software applications • Clear track record of open-source contributions, preferably supported by a GitHub profile or equivalent public portfolio • Strong understanding of data structures, algorithms, software design principles, and debugging techniques • Practical experience with automated testing, code validation, and software quality assurance • Ability to identify and resolve complex bugs, implementation errors, and performance bottlenecks • Experience developing new features and improving existing codebases • Strong analytical thinking, problem-solving, documentation, and technical communication skills • Ability to work independently, follow detailed technical specifications, and deliver reproducible, verifiable solutions • Interest in AI systems and understanding how software engineering expertise can support AI model training and evaluation • Approximately 20-minute AI interview • HackerRank technical assessment may be required if the portfolio does not adequately demonstrate the required expertise • Candidates must complete interviews and assessments independently • Ability to begin first tasks within 24–48 hours after completing onboarding

🏖️ Benefits

• Approximately 15 hours per task run • Flexible schedule while meeting task requirements and weekly submission minimums • Onboarding instructions and resources required to begin • Payment based on completed tasks that meet specified quality and acceptance criteria