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

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Trase

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Artificial Intelligence • Enterprise • Healthcare

Trase is an AI Agent Platform designed to simplify and accelerate AI adoption for businesses. Trase helps business leaders overcome the complexity of building and deploying AI capabilities by providing integrated, adaptable, and custom-built solutions tailored to meet specific business needs. The platform is particularly suited for enterprise business users across industries such as healthcare, life sciences, and energy. It features a multi-agent system with deep integrations into data sources, allowing companies to adopt cutting-edge AI technologies without the need for specialized in-house talent. Trase focuses on transforming complex business workflows and enhancing productivity through its AI agents, all while ensuring deployment and security are managed seamlessly.

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• 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 TensorFlow, 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

• 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.