Senior ML Researcher, Applied Machine Learning

About the Role

Are you passionate about advancing machine learning through cutting-edge research? Do you thrive in optimizing and fine-tuning machine learning models, especially language models, to address complex business challenges? If so, 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. This role emphasizes the exploration and development of research-based ML methodologies to optimize model performance and ensure our systems are both robust and adaptable to enterprise needs.

Responsibilities:

• Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
• Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
• Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models, focusing on accuracy, scalability, and adaptability to dynamic enterprise requirements.
• Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance over time.
• 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, integrating cutting-edge practices and methodologies into our development pipeline.
• Mentor and Guide Team Members: Provide technical guidance to junior researchers, fostering a culture of continuous learning, experimentation, and research-driven development.

Requirements:

• Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies, model architectures, and optimization techniques.
• Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models to meet specific use cases, with experience in models such as GPT, BERT, or similar frameworks.
• Proficiency in ML Frameworks: Strong understanding of machine learning and NLP frameworks like TensorFlow, PyTorch, or similar, with the ability to design and implement custom model architectures.
• Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable, and scalable code.
• Research Communication Skills: Ability to present complex technical concepts to both technical and non-technical stakeholders, highlighting the business impact of ML innovations.
• Educational Background: A Master’s or PhD in Computer Science, Machine Learning, or a related field, with a focus on ML research.
• Impactful ML Solution Delivery: Proven track record of delivering ML solutions that have made significant real-world impact, ideally within an enterprise or production setting.

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.

Some travel is required.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $175,000-$225,000. This represents the typical salary range for this position based on experience, skills, and other factors.