Senior ML Engineer

Summary

Join Trase Systems, a Red Cell Partners incubation, as a Senior Machine Learning Engineer and play a pivotal role in advancing our ML systems. You will architect, build, and optimize ML models, develop training pipelines, fine-tune LLMs, and design feedback systems. Collaborate with cross-functional teams, stay current with ML advancements, and mentor junior team members. This remote position requires expertise in ML systems, model training, LLM fine-tuning, and proficiency in Python and relevant frameworks. Trase offers a competitive salary, comprehensive health care, paid parental leave, unlimited PTO, professional development opportunities, and the option for 401k and FSA.

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

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

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