Senior AI​/ML Engineer, Applied Machine Learning Security Clearance

Senior AI/ML Engineer, Applied Machine Learning - (Security Clearance)

McLean, VA

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security.

Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise.

About the Role

Location:

McLean, VA

Active Secret or Top Secret Clearance

We are looking for a Senior Machine Learning Engineer to advance our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance.

Responsibilities:

• Architect, Build, and Optimize ML Systems:
  Develop and deploy robust ML models that deliver high-impact results for real-world applications.
• Training Pipeline Development:
  Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs.
• Fine-Tuning Large Language Models (LLMs):
  Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance.
• Feedback Systems Design:
  Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time.
• Cross-Functional Collaboration:
  
  Work closely with product and business teams to understand and translate requirements into ML solutions that provide tangible outcomes.
• Stay Current with ML Advancements:
  Keep up with the latest in ML research and best practices, applying insights to our ML infrastructure to ensure it remains at the cutting edge.
• Mentorship and Knowledge Sharing:
  Guide and mentor junior team members, fostering a culture of continuous improvement and technical growth.
• Technical Communication:
  Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders.

Requirements:

• ML Systems Expertise:
  Proven experience in developing, optimizing, and deploying ML systems in production environments.
• Model Training and Pipeline Mastery:
  Strong background in building and managing end-to-end training pipelines for ML models.
• LLM Fine-Tuning:
  Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes.
• Framework Proficiency:
  Skilled in ML frameworks such as Tensor Flow, PyTorch, or similar tools used in ML model development.
• Programming
  
  Skills:
  
  Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications.
• Clear Communicator:
  Ability to distill complex ML concepts for both technical and non-technical audiences.
• Educational Background:
  Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
• Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications.
• Active Secret or Top Secret Clearance

Benefits include career track opportunity with potential for rapid advancement, 100% employer paid comprehensive health care, paid maternity and paternity leave, unlimited PTO, opportunities for professional development, and optional 401K, FSA, and equity incentives.

Salary Range: $175,000-$225,000.

We’re an Equal Opportunity

Employer:

You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.