Senior ML Researcher, Applied Machine Learning

Posted 11 days agoViewed

💎 Seniority level: Senior

📍 Location: USA

💸 Salary: 175000.0 - 225000.0 USD per year

🔍 Industry: Technology-led companies in healthcare, cyber, and national security

🗣️ Languages: English

🪄 Skills: PythonMachine LearningMLFlowNLTKNumpyPyTorchTensorflow

Proven experience in ML research and optimization techniques.
Deep knowledge of language model fine-tuning with frameworks like GPT, BERT.
Strong understanding of ML frameworks, including TensorFlow and PyTorch.
Proficient in Python for efficient, maintainable coding.
Ability to communicate complex concepts to technical and non-technical stakeholders.
Master's or PhD in Computer Science, Machine Learning, or related field.
Track record of impactful ML solutions in enterprise settings.

Drive the research, development, and optimization of machine learning models.
Design, implement, and iterate on training protocols and fine-tuning processes, especially for Language Models.
Develop techniques for assessing and enhancing ML model performance.
Create systems that incorporate feedback for iterative model improvement.
Collaborate with product teams and domain experts on ML strategies.
Monitor latest ML and NLP research for integration into development.
Mentor junior researchers to foster continuous learning and innovation.

Posted about 1 month ago

📍 USA

🧭 Full-Time

💸 175000 - 225000 USD per year

🔍 Technology-led companies in healthcare, cyber, and national security

🏢 Company: Trase Systems

Expertise in ML Model Training and Optimization: Proven experience in ML research, including novel training methodologies.
Deep Knowledge of Language Model Fine-Tuning: Proficient in customizing language models like GPT or BERT.
Proficiency in ML Frameworks: Strong understanding of frameworks like TensorFlow or PyTorch.
Programming Skills: Proficiency in Python, focusing on efficient and maintainable code.
Research Communication Skills: Ability to present technical concepts to various stakeholders.
Educational Background: A Master’s or PhD in Computer Science or related field with a focus on ML research.
Impactful ML Solution Delivery: Track record of ML solutions with significant real-world impact.

Lead ML Research and Development: Drive the research, development, and optimization of machine learning models to solve real-world business problems.
Architect Novel Training and Fine-Tuning Methodologies: Design and implement advanced training protocols and optimization strategies for Language Models.
Evaluate Model Performance and Innovation: Develop techniques to enhance the effectiveness of ML models, focusing on accuracy and scalability.
Feedback System Design for Continuous Learning: Create systems incorporating user feedback to iteratively improve model performance.
Cross-Functional Collaboration: Work with product teams to translate business needs into actionable ML strategies.
Stay Current on ML Advancements: Actively monitor the latest research and integrate best practices into development.
Mentor and Guide Team Members: Provide guidance to junior researchers and foster a continuous learning environment.

PythonMachine LearningPyTorchTensorflowCommunication SkillsCollaboration

Posted about 1 month ago

🔧 Requirements