Lead Engineer, Machine Learning

Beehive Industries, LLC; Loveland (OH); Remote; USD 164,000 - 245,000; Full time

Job summary

An innovative company focused on American defense is seeking a skilled Machine Learning Engineer specializing in Large Language Models. This role involves designing and deploying AI solutions for jet propulsion systems, collaborating with aerospace engineers, and utilizing cutting-edge NLP techniques. Join a dynamic team dedicated to revolutionizing defense technology and enhancing the performance of unmanned aerial systems. With a commitment to diversity and inclusion, this opportunity offers a competitive salary and comprehensive benefits, making it an exciting chance to contribute to a vital mission.

Benefits

Medical Coverage

Dental Coverage

Life Insurance

Disability Coverage

401(k) Plan with Company Match

Bonuses

Equity in the Company

Qualifications

• 6+ years of experience with Large Language Models and NLP techniques.
• Proficiency in Python and experience with cloud ML deployment.

Responsibilities

• Develop and fine-tune LLMs to optimize jet engine development.
• Collaborate with engineers and data scientists to deploy AI-driven solutions.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

Java

TensorFlow

PyTorch

Reinforcement Learning

Data Security Practices

Communication Skills

Education

Master’s or Ph.D. in Computer Science or Machine Learning

Tools

TensorFlow

PyTorch

CFD Software

FEA Software

CAD Software

Job description

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 growing and advancing 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:

1. Develop and fine-tune LLMs to optimize the jet engine development phase including performance assessments, analysis, and testing.
2. Integrate AI models within the Digital Engineering thread at Beehive Industries.
3. Research, benchmark, and recommend machine learning models for internal use.
4. Utilize natural language processing (NLP) throughout the development and testing phases of programs.
5. Collaborate with aerospace engineers, data scientists, and software developers to deploy AI-driven solutions.
6. Design and implement machine learning pipelines for processing aerospace data, creating models that interface with CFD, aerodynamic analysis, FEA, and CAD software.
7. Research and apply state-of-the-art AI/ML methodologies to improve propulsion systems and development processes.
8. Ensure model robustness, interpretability, and compliance with regulations, partnering with IT infrastructure teams for security and deployment.
9. Train AI systems to support engineering tasks such as report generation and feasibility studies.

Qualifications:

1. Master’s or Ph.D. in Computer Science, Machine Learning, or related fields.
2. 6+ years of experience with Large Language Models (e.g., GPT, LLaMA, BERT) and NLP techniques.
3. Proficiency in Python, Java, TensorFlow, PyTorch, or similar frameworks.
4. Background in aerospace systems or jet engines is highly desirable.
5. Experience with high-performance computing, data engineering, and cloud ML deployment.
6. Knowledge of reinforcement learning, time-series analysis, and physics-informed ML models.
7. Understanding of data security practices and protecting company IP.
8. Ability to work cross-disciplinarily with engineers and data scientists.
9. Strong communication skills for teaching and deploying AI solutions across the organization.
10. Experience working on programs for the Department of Defense.

If this opportunity aligns with your skills and interests, please submit your resume. Join us to expand your skills, contribute to a winning team, and work with talented people committed to our mission.

In accordance with Colorado’s Equal Pay for Equal Work Act, the salary range for this position is $164,000-$244,295. Salary offers will consider experience, education, key skills, and market conditions.

Beehive Industries offers comprehensive benefits, including Medical, Dental, Life, Disability coverage from day one, a 401(k) plan with company match, bonuses, and equity in the company.

Beehive Industries is committed to diversity and inclusion, and is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.