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Machine Learning Engineer San Francisco, California

Machine Learning Engineer San Francisco, California

TurbineOne, Inc.Omaha, NE, United States
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Overview

Company Intro : TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by DefenseTech venture capitalists with over $50M in funding. We recently raised our Series B round and are valued at $300M. TurbineOne is actively deployed by every branch of the Department of Defense to solve their most critical missions.

Job Title : Machine Learning Engineer

  • Reporting to the Machine Learning team lead
  • Geographically flexible for home-office

Primary Responsibilities

  • Designing and developing machine learning systems and infrastructure for training and inference at the edge
  • Maintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionality
  • Shipping production grade machine learning features to TurbineOne’s Frontline Perception System
  • Building and integrating new data models and user interfaces for gathering user data to enable the new ML-based product solutions
  • Creating and maintaining reusable functional blocks for machine learning models, such as data loading, inference batching, etc.
  • Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problems
  • Maintain and improve existing TurbineOne machine learning frameworks and libraries
  • Developing automation tools for building, testing, packaging and deploying machine learning components and features

    • On a Typical Day You Would

  • Add / update Vue3 components, GraphQL APIs and database models to gather information from the user, or display model output to the user.
  • Extract re-usable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability.
  • Spend time reading and understanding a paper and codebase describing a state-of-the-art solution to a given product problem and integrate the solution into the Frontline Perception System for user testing.

    • Desired Experience

  • High standard of ethics, grit, integrity and moral character
  • 7+ years of full stack work experience
  • Ability and confidence to learn what’s required to add functionality to the product, from the ML stack to the front end.
  • College degree / certifications in Computer Science or similar field
  • Deep curiosity about customer problems and technical solutions
  • Positive and solution-oriented mindset
  • Experience in a production software development environment (version control, automated testing, build tools)
  • Knowledge of deep learning algorithm development and experience with ML experimentation
  • Experience with all or some of TensorFlow, PyTorch and Jax.
  • Willingness to embrace the Startup Culture of moving fast, being insatiably curious, celebrating often, embracing uncertainty, and having a personal desire to improve other peoples’ lives

    • Startup Culture Expectations

  • We’re a small, fully remote team and everything is our responsibility.
  • Our team thrives on autonomy, trust and solid communication.
  • Everyone on the Team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves.
  • Must be eligible to obtain a clearance with the U.S. government

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    CLEARANCE ELIGIBILITY - This position requires eligibility to obtain and maintain a U.S. security clearance.

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    Machine Learning Engineer • Omaha, NE, United States

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