Cracked Engineers - Find Tech Jobs / Hire Tech Talent

2024-10-29 · Source: Aleksa Gordić - The AI Epiphany · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Human Resources & Workforce Development · Depth: Novice, medium

Summary

Cracked Engineers is a new tech jobs platform designed to connect job seekers with employers, focusing on specialized technical talent. The platform allows users to discover job posts, filter by criteria such as company, role (e.g., Machine Learning Engineer), employment type (internship/full-time), tech stack (e.g., Triton, LLMs, CUDA), location (e.g., San Francisco, remote), and salary range (up to $1.5 million annually). Job seekers can apply directly via employers' Applicant Tracking Systems (ATS) linked from the platform. Employers can post jobs, utilizing an AI-powered pre-fill feature by pasting an ATS link, and customize posts with highlighting, chat images, and pinning options. The platform offers a 50% early adopter discount and integrates with GitHub for user login and potential candidate evaluation.

Key takeaway

For Machine Learning Engineers and Software Engineers seeking specialized roles, Cracked Engineers offers a targeted platform with semantic search and filtering by specific tech stacks like Triton or CUDA. You should leverage the weekly newsletter and set your preferences to receive relevant job posts directly, potentially discovering opportunities not found on broader job boards. Employers can save time by using the AI pre-fill feature for job postings.

Key insights

Cracked Engineers is a specialized tech job platform using AI for job posting and semantic search for discovery.

Principles

• Semantic search improves job relevance.
• ATS integration streamlines employer workflow.
• GitHub profiles can signal candidate quality.

Method

Employers paste an ATS link to pre-fill job forms using custom AI, then customize and publish. Job seekers use semantic search and filters to find roles and apply via external ATS.

In practice

• Use AI pre-fill for quick job posting.
• Filter jobs by specific tech stack tags.
• Subscribe to weekly job newsletters.

Topics

• Tech Job Platform
• Semantic Search
• AI-powered Job Posting
• Machine Learning Talent
• ATS Integration

Best for: Machine Learning Engineer, Software Engineer, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Aleksa Gordić - The AI Epiphany.