Full-Stack Engineer, ML Tooling and Infrastructure

You have built or heavily customized an annotation UI (handling bounding boxes, polygons, keypoints) and understand the pain points of human-in-the-loop workflows.

Deep familiarity with video processing pipelines (FFmpeg, frame extraction, codec handling, latency optimization).

Familiarity with active learning workflows or mining hard negatives to iteratively improve datasets.

You care deeply about UI/UX and measure your success by the workflow speed of the end-user.

Core ML Architects: If your primary goal is designing novel neural network architectures or working on frontier foundation models, this is the wrong fit. Your ML work here uses established architectures to solve practical pipeline problems (like PII detection).

Backend-Only Engineers: If you dislike writing TypeScript, debugging CSS, or thinking about UI workflows, you will struggle. You own the frontend annotation product just as much as the ML services.

Data-Allergic Engineers: If you expect a perfectly clean, balanced dataset handed to you, this isn't the role. You are building the systems that create and sanitize that data.

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.