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AI, Uncomplicated.
Senior AI/ML Engineer, Applied Machine Learning – Security Clearance
Location
United States
Posted
159 days ago
Salary
$175K - $225K / year
Seniority
Senior
Job Description
Senior AI/ML Engineer, Applied Machine Learning – Security Clearance
Trase
• 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.
Job 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.
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