Description review
Mastra | AI Engineer | REMOTE (AMER or EMEA time zones) | Full-time
Mastra · REMOTE (AMER or EMEA time zones) · back to the listing
HR standards
52/100
needs work
Title ↔ description
64/100
needs work
Reads as
Machine Learning Engineer
97% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Mastra is the open-source TypeScript framework for building AI agents (agents, workflows, memory, evals, tracing). From the team behind Gatsby, YC-backed, https://github.com/mastra-ai/mastra
Why:
We’re starting to build more and more agentic features into Mastra: Trace intelligence, and we’re working on various Agent Learning features to automatically self-improve agents (Autoevals + Suggestions, Rollouts).
In addition, we’ve been increasingly running Mastra primitives like memory on industry-standard benchmarks and using the results to fine-tune configuration.
You have:
Shipped agents and agentic applications into production
Tuned and tweaked them to improve accuracy
You need to be able to benchmark your results against existing datasets, or intelligently creating
Apply: {https://jobs.ashbyhq.com/mastra/531a3fe8-556f-4b83-bee7-20374f67f980} We get back to everyone.
Why:
We’re starting to build more and more agentic features into Mastra: Trace intelligence, and we’re working on various Agent Learning features to automatically self-improve agents (Autoevals + Suggestions, Rollouts).
In addition, we’ve been increasingly running Mastra primitives like memory on industry-standard benchmarks and using the results to fine-tune configuration.
You have:
Shipped agents and agentic applications into production
Tuned and tweaked them to improve accuracy
You need to be able to benchmark your results against existing datasets, or intelligently creating
Apply: {https://jobs.ashbyhq.com/mastra/531a3fe8-556f-4b83-bee7-20374f67f980} We get back to everyone.