Full Stack Engineer: Accelerate the Minerals Supply Chain

Mariana Minerals

San Francisco, Houston, Ann Arbor (CA, TX, MI)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Mariana Minerals, a software-first minerals company, seeks a Full Stack Software Engineer to accelerate the engineering and construction of mineral processing facilities. You will build integrations with Autodesk and create new web tools for internal teams and partners, improving project delivery.

You will collaborate with ML engineers to bring LLM-powered experiences to unstructured data and help shape the data architecture feeding novel ML models and plant visibility.

Qualifications

  • 1.5+ years of professional software engineering experience.
  • Ability to translate stakeholder needs into software features.
  • Self-starter with comfort in ambiguous environments.
  • Experience across the full stack or willingness to expand into new areas.

Responsibilities

  • Collaborate with internal teams to build tools accelerating mineral processing facility deployments.
  • Create data integrations with the existing engineering/construction tools like Autodesk.
  • Develop new web experiences used by internal teams and partners.
  • Evaluate current software to assist Mariana’s teams.
  • Partner with ML engineers to deploy LLM-powered solutions for unstructured data tasks.
  • Assist data architecture for data pipelines feeding ML models and operations visibility.

Skills

Full stack development
Software engineering
Stakeholder collaboration
Ambiguity handling

Tools

Autodesk

Job description

Mariana Minerals, a software-first minerals company, seeks a Full Stack Software Engineer to accelerate the engineering and construction of mineral processing facilities. You will build integrations with Autodesk and create new web tools for internal teams and partners, improving project delivery.

You will collaborate with ML engineers to bring LLM-powered experiences to unstructured data and help shape the data architecture feeding novel ML models and plant visibility.

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