Senior ML Engineer - Applied Machine Learning

November 2

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Description

• Are you passionate about developing and refining machine learning systems? • Do you thrive in architecting and optimizing ML models that drive innovation and results? • In this role, you will be instrumental in advancing our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. • As part of our team, you will contribute directly to the continuous improvement of our ML models, working to maximize impact and align with evolving business needs. • 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.

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 with all Federal holidays observed. • Opportunities for professional development and continued learning. • Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person. • Optional 401K and FSA available. • Ability to work fully remote within the United States.