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Machine Learning Engineer: Natural Language Processing

Remote: 
Full Remote
Work from: 
United States

Offer summary

Qualifications:

Experience in natural language processing, Proficiency in Python and at least one ML framework.

Key responsabilities:

  • Enhancing speech-to-text engine for operability in cluttered environments
  • Inferring operators' intent and integrating with decision-making processes
  • Contributing to the development of a dialog state tracking system
Primordial Labs logo
Primordial Labs Startup https://www.primordial-labs.com/
11 - 50 Employees
About Primordial Labs
Primordial Labs' mission is to enable warfighters to easily and naturally harness the power of complex systems. We think human interaction should be design principle #1 for autonomous system development. Serving DOD customers well means never forgetting that humans are more important than hardware. That’s the only viable path to a fast, connected, and fully-enabled future force. That's why we have built Anura, the tactical AI assistant. Anura empowers human performance across domains and missions by offering an expressive, high-torque interface for interacting with robotic and computer systems. Target number one is drastically reducing the mental workload required to command & control teams of unmanned systems. We aim to turn individual operators into tactical battle managers rather than UxS pilots. Our conversational voice command interface and platform independent autonomy engine are helping us achieve that goal by empowering warfighters to intuitively direct robots through verbal mission-type orders. We’re also expanding Anura to support intelligence analysis and mission planning, orchestrating and accelerating all the low-level tasks required to go from raw data to powerful insights based on a user’s intent. Our first production release is scheduled to be complete in Mid-2023; Anura will be available on multiple fielded DOD UAS platforms. We’re teaching machines to speak warfighter. A skill we think will only become more important as the DOD takes on a one-to-many human to robot ratio in the coming years. The time has come for a natural, high-torque interface that enables human-machine collaborative excellence. We would love to hear from potential users and partners; reach out to schedule a demo or discussion and let us know what you think.
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Job description

What We Do:

Primordial Labs is an autonomy company focusing on Human-Machine Interface and reducing cognitive burden through machine learning.

Anura, our tactical AI assistant, enables warfighters and analysts to work seamlessly with their teammates and complex robotic systems using natural language.

With Anura, they can leverage cutting edge technologies with the sound of their voice while remaining mission-focused. Today, Anura is used to control drones, rovers, databases, and mapping displays.

With your help, Anura will continue to bolster the U.S. national security enterprise and overcome emerging challenges in human-machine teaming.

Job Description:

(Please Note: This is a 100% remote position that requires residence in the United States.)

We're looking for machine learning engineers with a background in natural language processing. Candidates with expertise in any of the following areas are highly desirable:

  • Natural language understanding
  • Dialog state tracking
  • Natural language generation
  • Speech-to-text & text-to-speech algorithms
  • Strategies for optimizing and deploying transformer networks on embedded devices

As a company co-founded and led by engineers, we are focused on developer experience. We promise to minimize distractions (read: meetings) and to provide tools which maximize productivity. We are also committed to providing competitive total compensation, including profit sharing.

What You'll Do:

We are a small company, so you can expect to be an integral part of all phases of product development. Including lots and lots of flight testing. Here are a few examples of how you’ll contribute to the development of our tactical AI assistant, Scipio:

  • Improve the robustness of our offline speech-to-text engine so it can operate in extremely cluttered environments.
  • Infer drone operator's intent and integrate with our AI decision making and platform/sensor control engines.
  • Support the design and implementation of our upcoming tactical dialog state tracking system.
About You:

There are no educational requirements. We're more interested in projects you've worked on - both on the job and on the side. So please be prepared to discuss those! The ideal candidate will have excellent Python skills and be adept in at least one ML framework (PyTorch, TensorFlow, etc.).

Application Process:

We have a two-stage interview process.

The first stage is a screener which is a combination of technical discussion about relevant engineering concepts as well as your past experience. This screener is generally around 30 minutes.

After the screener, if both sides believe it makes sense, we will provide you with an 'offline' coding test. This test is done on your own time, at your own pace, so you do not feel the pressure of coding live with us watching. We want you to do your best with a clear mind and free of interview jitters. The questions are a combination of algorithm and system design. Once you complete the test, we'll all hop back on another call and you will walk us through your code. We are not just looking for the right answers, we're interested in your thought processes and technical approach.

We are committed to a low-stress interview experience and promise there will be no trick questions or brain teasers!

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Natural Language Processing (NLP)Machine Learning AlgorithmsPyTorch (Machine Learning Library)TensorFlowPython (Programming Language)
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