Lead Engineer, Machine Learning

Beehive Industries, LLC; Englewood (CO); Remote; USD 164,000 - 245,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to revolutionize aerospace applications through advanced Large Language Models. In this pivotal role, you will design and deploy cutting-edge AI solutions that enhance jet engine performance and diagnostics. Collaborating with a talented team, you will tackle complex challenges, ensuring model robustness and compliance. This position offers an exciting opportunity to contribute to national defense while working with state-of-the-art technology in a supportive and inclusive environment. If you're passionate about AI and aerospace, this is the perfect chance to make a significant impact.

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 LLMs and NLP techniques.
• Proficiency in Python, Java, and deep learning frameworks.

Responsibilities

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

Skills

Large Language Models (LLMs)

Natural Language Processing (NLP)

Python

Java

TensorFlow

PyTorch

Reinforcement Learning

Data Security Best Practices

High-Performance Computing

Cloud-Based ML Deployment

Education

Master’s or Ph.D. in Computer Science

Experience with Department of Defense Programs

Tools

TensorFlow

PyTorch

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 test.
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) through the development and testing phases of a program.
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, among others.
7. Research and apply state-of-the-art AI/ML methodologies to improve propulsion systems, products, and development processes.
8. Ensure model robustness, interpretability, and compliance with applicable regulations. Partner with the IT infrastructure team regarding security and deployment.
9. Train AI systems to provide technical support to engineering teams, such as generating reports and creating feasibility studies.

Qualifications:

1. Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
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 other deep learning frameworks.
4. Background in aerospace systems, jet engines, or related disciplines is highly desirable.
5. Experience with high-performance computing, data engineering, and cloud-based ML deployment.
6. Knowledge of reinforcement learning, time-series analysis, and physics-informed machine learning models.
7. Experience with data security best practices and protecting company IP within AI systems.
8. Ability to work in a cross-disciplinary environment with engineers and data scientists.
9. Strong communication skills to teach others about AI and deploy solutions across the business.
10. Experience working on programs for the Department of Defense.

If this sounds like you, please submit your application with your resume. This could be the opportunity 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.

In compliance with Colorado’s Equal Pay for Equal Work Act, the salary range for this position is $164,000-$244,295. Please note that wage information is a general guideline only, and factors such as scope, responsibilities, experience, education, skills, and market conditions will be considered when extending an offer.

Beehive Industries offers a comprehensive benefits package, 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 full compliance with applicable anti-discrimination laws. We are an equal opportunity employer, valuing diversity and creating an inclusive work environment. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.