Associate Machine Learning Engineer

Join Our Innovative Team at Mile Two!

Are you passionate about solving complex problems and creating cutting-edge technology solutions? Do you thrive in a dynamic, collaborative environment where your skills and creativity are valued and encouraged? If so, Mile Two might be the perfect fit for you!

At Mile Two, we are dedicated to developing advanced solutions that drive innovation and efficiency across various industries. Our team of experts works on projects leveraging the latest technologies to make a real impact for our government and commercial partners. We create seamless integrations between human expertise and advanced machine capabilities to solve complex challenges.

Our core values define who we are and guide everything we do:

• Supported Autonomy: We empower our team members to take initiative and make decisions while providing the support they need to succeed.
• Humble Expertise: We recognize and respect the knowledge and skills of each team member, fostering an environment of continuous learning and improvement.
• Success is a Team Effort: We believe collaboration and teamwork are essential to achieving our goals and delivering exceptional results.
• Tangible Results: We are driven by the desire to create real, measurable impacts through our work, ensuring that our solutions make a difference.

As part of our team, you will have the opportunity to work on meaningful projects that challenge you and help you grow professionally. We offer a supportive and inclusive work environment, competitive benefits, and numerous opportunities for career advancement. If you are ready to take your career to the next level and be part of something extraordinary, we invite you to explore our current job openings and apply today.

The associate machine learning (ML) Engineer will be a self-starter who will continue progress on projects and help shape new directions for the organization. They will work closely with internal and external teammates, in a very collaborative environment, to take technologies to new software and services.

We are looking for Associate ML Engineers from all areas of machine learning and artificial intelligence. The candidate must be passionate and able to demonstrate ability for independent research. You will also have the opportunity to work closely with internal partners to see your ideas realized in multiple products and services. 

REQUIRED QUALIFICATIONS

• Ability to obtain and maintain a SECRET security clearance
• DOD experience
• BS in Machine Learning, Statistics, Computer Science, Mathematics, or related field, or 3 years of related experience
• Must be able to work EST business hours 
• Understanding of data structures, data modeling, and software architectures (design patterns, reliability, and scaling) of new and current large-scale distributed software systems
• Experience with computer vision and natural language processing. Familiarity with image recognition, object detection, segmentation, and NLP techniques such as sentiment analysis, text classification, and topic modeling
• Experience with generative AI techniques and tool deployment
• Familiarity with machine learning frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, and langchain
• Professional software development experience
• Demonstrated programming fluency in Python
• Mastery in communication of technical ideas to non-technical / lay audiences
• Ability to translate goals/aspirations into practical and deliverable solutions
• Familiarity with accessing, managing, transferring, integrating, and analyzing high-resolution and highly complex datasets, using database management systems (knowledge in SQL)
• Applied experience building models containing disparate data streams
• Desire to be involved in multiple diverse and innovative projects

DESIRED QUALIFICATIONS

• Experience building and/or working with data pipelines and data lakes
• Experience using scale-out cloud and/or HPC architectures for parallel programming

LEADERSHIP:

• Individual contributor, active participant in discussions with AI/ML peers