Job Details

Overview

Machine Learning Engineer at TurbineOne. TurbineOne is the frontline perception company delivering decision advantage and better situational awareness. The company is a small, fast-moving startup backed by DefenseTech venture capitalists with over $50M in funding; Series B raised, valued at $300M. TurbineOne is actively deployed by every branch of the Department of Defense to solve critical missions.

Location: San Francisco, CA

Job Title

Machine Learning Engineer

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 new ML-based product solutions
• Creating and maintaining reusable functional blocks for machine learning models, such as data loading and inference batching
• 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 reusable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability
• Read and understand a paper and codebase describing a state-of-the-art solution 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 others' 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 comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves

Eligibility

• Must be eligible to obtain a clearance with the U.S. government

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Defense & Space

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