Publié il y a 2 heures
Software Engineer (SWE), Delivery Ops
@ Mecka
Richmond Hill, Ontario
En bref
Mecka is hiring a full-time software engineer for its Delivery Ops team, which turns robotics training data captures into customer datasets. The role builds pipelines, automated ship gates, packaging, delivery ledgers and internal tools for a large-scale data delivery process.
Responsabilités :
- Build pipelines that filter episodes against customer specs
- Automate ship gates for quality, privacy and label integrity
- Own export to customer formats, manifests and checksums
- Maintain the delivery ledger and reporting dashboards
- Ship lightweight internal web tools for the delivery team
Résumé des exigences :
- 3 to 6+ years building production data pipelines or backend systems
- Strong Python and SQL skills
- Experience with cloud object storage for large media files
- Frontend skill to ship a usable internal tool
- Video processing experience (FFmpeg) is a plus
- Robotics, computer vision or ML dataset experience is a plus
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-11-12
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-11-12
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mecka
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Data Layer for AI Robotics
Description complète de l’entreprise
Mecka create large scale human data for AI and robotics training
- Abonnés LinkedIn
- 980
- Personnes associées sur LinkedIn
- 38
- Catégories d’activité
- Robotics
- Analytics
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Mecka
- Mecka AI
- Spécialités
- Robotics
- Artificial Intelligence
- and Data
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 68 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mecka create large scale human data for AI and robotics training
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 2-10 employees |
| Type d’organisation | Privately Held |
| Spécialités | RoboticsArtificial Intelligenceand Data |
| Offres sur Jobsy | 40 |
| Voir la page |
About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
About Delivery Ops
Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.
About the role
Every delivery is a pipeline problem: millions of episodes, terabytes of video, and a customer spec that changes per program. You will build the systems that let a small team ship at that scale, so a delivery that takes a week today takes an afternoon.
What you'll do
Pool pulls
Build pipelines that turn a customer spec (hours, diversity mix, formats, label levels) into a filtered, reproducible episode list.
Ship gates
Automate the checks every episode must pass before shipping (quality, privacy blur, bans, exclusivity, label integrity) and make failures easy to trace.
Packaging and transfer
Own export to customer formats and storage, with manifests, checksums, and re-delivery support.
Delivery ledger
Maintain the source of truth for what shipped to whom, and the dashboards and reports built on it.
Internal tools
Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily.
What you bring
• 3 to 6+ years building production data pipelines or backend systems.
• Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows.
• Experience moving large media files through cloud object storage reliably.
• Enough frontend skill to ship a usable internal tool without a designer.
Even better if you have
• Video processing experience (FFmpeg, frame extraction, codecs).
• Experience with robotics, computer vision, or ML training datasets.
If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.
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