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Senior AI/ML Researcher, Applied Machine Learning
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Trase About Us:
Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. About the Role:
We have an exciting opportunity for you as a Senior ML Researcher focused on applied ML. In this role, you will spearhead innovations in machine learning model architecture, fine-tuning, and continuous improvement. Responsibilities: Lead ML Research and Development : Drive the research, development, and optimization of machine learning models. Architect Novel Training and Fine-Tuning Methodologies : Design, implement, and iterate on advanced training protocols and fine-tuning processes. Evaluate Model Performance and Innovation : Develop and refine techniques for assessing and enhancing the effectiveness of ML models. Feedback System Design for Continuous Learning : Create systems that incorporate user and system feedback to iteratively improve model performance. Cross-Functional Collaboration : Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies. Stay Current on ML Advancements : Actively monitor the latest research in ML and NLP. Mentor and Guide Team Members : Provide technical guidance to junior researchers. Requirements: Expertise in ML Model Training and Optimization : Proven experience with ML research. Deep Knowledge of Language Model Fine-Tuning : Demonstrated proficiency in customizing and fine-tuning language models. Proficiency in ML Frameworks : Strong understanding of machine learning and NLP frameworks. Programming Skills : Proficiency in Python. Research Communication Skills : Ability to present complex technical concepts. Educational Background : A Master's or PhD in Computer Science, Machine Learning, or a related field. Impactful ML Solution Delivery : Proven track record of delivering ML solutions. Benefits: Competitive salary and performance-based bonuses. Comprehensive health and wellness benefits package. Flexible work hours. Opportunities for professional development and continued learning. Collaborative and inclusive work environment. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
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Senior AI/ML Researcher, Applied Machine Learning
role at
Trase About Us:
Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. About the Role:
We have an exciting opportunity for you as a Senior ML Researcher focused on applied ML. In this role, you will spearhead innovations in machine learning model architecture, fine-tuning, and continuous improvement. Responsibilities: Lead ML Research and Development : Drive the research, development, and optimization of machine learning models. Architect Novel Training and Fine-Tuning Methodologies : Design, implement, and iterate on advanced training protocols and fine-tuning processes. Evaluate Model Performance and Innovation : Develop and refine techniques for assessing and enhancing the effectiveness of ML models. Feedback System Design for Continuous Learning : Create systems that incorporate user and system feedback to iteratively improve model performance. Cross-Functional Collaboration : Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies. Stay Current on ML Advancements : Actively monitor the latest research in ML and NLP. Mentor and Guide Team Members : Provide technical guidance to junior researchers. Requirements: Expertise in ML Model Training and Optimization : Proven experience with ML research. Deep Knowledge of Language Model Fine-Tuning : Demonstrated proficiency in customizing and fine-tuning language models. Proficiency in ML Frameworks : Strong understanding of machine learning and NLP frameworks. Programming Skills : Proficiency in Python. Research Communication Skills : Ability to present complex technical concepts. Educational Background : A Master's or PhD in Computer Science, Machine Learning, or a related field. Impactful ML Solution Delivery : Proven track record of delivering ML solutions. Benefits: Competitive salary and performance-based bonuses. Comprehensive health and wellness benefits package. Flexible work hours. Opportunities for professional development and continued learning. Collaborative and inclusive work environment. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
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