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Lead Engineer, Machine Learning

Beehive Industries

Loveland (OH)

Remote

USD 164,000 - 245,000

Full time

Yesterday
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Job summary

A leading company in aerospace is seeking a skilled Lead Engineer in Machine Learning to enhance jet engine development using advanced AI techniques. The role involves designing, developing, and deploying large language models for aerospace applications, requiring a deep understanding of AI and aerospace engineering principles. This position offers the chance to work with cutting-edge technology in a collaborative environment focused on innovation and excellence.

Benefits

Medical Coverage
Dental Coverage
Life Insurance
Short and Long-Term Disability
401(k) Retirement Savings Plan with Company Match
Bonus Eligibility
Equity in the Company

Qualifications

  • 6+ years of experience with Large Language Models and NLP techniques.
  • Experience with data security best practices within AI systems.

Responsibilities

  • Develop and fine-tune LLMs for jet engine development.
  • Collaborate with aerospace engineers and data scientists.

Skills

Machine Learning
Natural Language Processing
Python
Java
TensorFlow
PyTorch
Communication

Education

Master’s or Ph.D. in Computer Science

Tools

TensorFlow
PyTorch

Job description

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Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost.

Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to grow and advance the defense industrial base while manufacturing exclusively in the USA. This role can be remote.

Job Overview

We are seeking a highly skilled Machine Learning Engineer with expertise in Large Language Models (LLMs) related to aerospace applications. The ideal candidate will design, develop, and deploy LLMs that enhance the performance, diagnostics, and overall development phase of jet engines used in uncrewed applications. This role requires deep knowledge of AI, natural language processing (NLP), and aerospace engineering principles.

Key Responsibilities

  • Develop and fine-tune LLMs to optimize the jet engine development phase including performance assessments, analysis, and test.
  • Integrate AI models within the Digital Engineering thread at Beehive Ind.
  • Responsible for researching, benchmarking, and recommending machine learning models for internal consumption.
  • Utilize natural language processing (NLP) through the development and test phases of a program.
  • Collaborate with aerospace engineers, data scientists, and software developers to deploy AI-driven solutions.
  • Design and implement machine learning pipelines for processing aerospace data. Create learning models to interface with / learn from computational fluid dynamics (CFD), aerodynamic analysis, finite element analysis (FEA), and CAD software as examples (i.e. mathematical, physics and thermodynamic based learning models and systems).
  • Research and apply state-of-the-art AI/ML methodologies to improve the propulsion systems, products, and development process.
  • Ensure model robustness, interpretability, and compliance with applicable regulations. Partner with IT infrastructure team pertaining to security and deployment.
  • Train AI to provide technical support to the engineering team such as generating engineering reports, creating feasibility studies, etc.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
  • 6+ years of strong experience with Large Language Models (e.g., GPT, LLaMA, BERT) and NLP techniques.
  • Proficiency in Python, Java, TensorFlow, PyTorch, or other deep learning frameworks.
  • Background in aerospace systems, jet engines, or related disciplines is highly desirable.
  • Experience with high-performance computing, data engineering, and/or cloud-based ML deployment.
  • Knowledge of reinforcement learning, time-series analysis, and physics-informed machine learning models.
  • Experience with data security best practices, protecting company IP, etc. within the AI systems
  • Ability to work in a cross-disciplinary environment with engineers and data scientists.
  • Strong communication skills to teach others about AI, and deploy across the business.
  • Experiencing working on programs for the Department of Defense.

If this sounds like you, please submit an application with your resume. This could be the opportunity you are looking for to expand your skills, contribute to a winning team, and work with talented people who love what they do and take pride in our mission.

n compliance with Colorado’s Equal Pay for Equal Work Act, the salary range for this position is $164,000-$244,295 base salary. Please note that wage information is a general guideline only, and we will consider factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, and market conditions when extending an offer.

Beehive Industries offers a comprehensive benefits package that includes group Medical, Dental, Life, and Short and Long-Term disability coverage from day one. We also offer a generous 401(k) Retirement Savings Plan with a Company match. Every role at Beehive Industries is bonus eligible, and will also receive equity in the company.

Beehive Industries is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Aviation and Aerospace Component Manufacturing

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