Copy of Senior AI/ML Engineer, Applied Machine Learning - (Security Clearance) jobs in United States
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Trase · 1 day ago

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

Trase Systems is an innovative company focused on simplifying AI for enterprise leaders. They are seeking a Senior Machine Learning Engineer to advance their ML systems, focusing on model training, pipeline development, and fine-tuning large language models to ensure peak performance.

Artificial Intelligence (AI)Generative AIService Industry
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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

Qualification

ML Systems ExpertiseModel TrainingPipeline MasteryLLM Fine-TuningFramework ProficiencyProgramming SkillsClear CommunicatorEducational BackgroundImpactful ML SolutionsKnowledge SharingMentorship

Required

Proven experience in developing, optimizing, and deploying ML systems in production environments
Strong background in building and managing end-to-end training pipelines for ML models
Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes
Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development
Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications
Ability to distill complex ML concepts for both technical and non-technical audiences
Bachelor's or Master's degree in Machine Learning, Computer Science, Data Engineering, or a related field
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

100% employer-paid, comprehensive health care including medical, dental, and vision for you and your family.
Paid maternity and paternity for 14 weeks at employees' normal pay.
Unlimited PTO, with management approval.
Opportunities for professional development and continued learning with educational reimbursements.
Optional 401K, FSA, and equity incentives available.
Mental health benefits through TARA Mind.

Company

Trase

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Trase Systems is an AI firm that provides safety and security to organisation to run there administrative workflows and processes.

Funding

Current Stage
Early Stage
Total Funding
$10.5M
2025-11-06Pre Seed· $10.5M

Leadership Team

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Grant Verstandig
Co Founder CEO
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Baskar Sridharan
President
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Company data provided by crunchbase