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Scout AI

Applied AI/ML Software Engineer (Contract)

Sorry, this job was removed at 06:18 p.m. (PST) on Wednesday, Apr 23, 2025
In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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Our company

Scout AI is an early-stage tech startup company working at the intersection of hiring, upskilling, and productivity. Our mission is to maximize human potential by helping companies get more work done, and by helping engineers connect with meaningful job opportunities.

We are a small and mighty team led by Christian Arredondo and Daniel Hernandez based in the San Francisco Bay Area and Texas. We have several paying customers and recently raised our round of pre-seed funding from world class investors at Neo, where we are participated in their 2024 accelerator program.

About the role

We have several projects ranging in scope between a few days to 1-2 weeks, mainly focused around:

  1. AI chatbots -- create/modify chatbots that do engineering work
  2. AI agents -- create agents that make it easier to work with structured data
  3. Vector search -- improve the way we search and match engineers and companies

Our initial product is built using a TypeScript stack on Microsoft Azure (NextJS, MongoDB, Docker, GitHub, OpenAI).

NOTE: if these projects go well, you can join the Scout engineering community to work on AI/ML projects with other companies :)

Responsibilities

  • Help us build core features for some of the project areas outlined above
  • Contribute new ideas and share your expertise/knowledge with the team

    Traits

    • You care about others and want to build something that has a positive impact on people’s lives
    • You are a strong communicator and enjoy collaborating with technical and non-technical team members
    • You are inherently curious and enjoy learning new technologies and skills
    • You enjoy tackling problems and challenges head-on, even if it’s outside your comfort zone
    • You take full ownership of your tasks and strive to deliver your best work every day
    • You want to make a positive dent in the universe

    Qualifications

    • Completed or recently graduated from a technical program (CS, engineering, math, etc)
    • Excellent technical and programming skills
    • Excellent written and verbal communication
    • Experience building ML / AI apps (can be personal projects)
    • Preferred: Experience/interest in the education, coding tools, community, or hiring space
    • You must have authorization to work in the country in which you intend to live (we cannot sponsor visas at this time)

    Location and compensation

    Location:

    • Remote: Global

    Compensation:

    • This position can be part-time or full-time and includes compensation ranging between $30-$60/hr depending on experience (we are flexible on schedule/hours based on your availability)

    What you need to know about the San Francisco Tech Scene

    San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

    Key Facts About San Francisco Tech

    • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
    • Major Tech Employers: Google, Apple, Salesforce, Meta
    • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
    • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
    • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
    • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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