Senior Machine Learning Engineer

Salary Range: 130000 to 150000 (Currency: USD) (Pay period: per-year-salary)

In This Role, You Will:

• Develop and fine-tune Large Language Models (LLMs) to meet specific product requirements.  
• Design and implement scalable machine learning pipelines for training and deploying LLMs.  
• Optimize LLMs for performance, efficiency, and accuracy in various applications. 
• Collaborate with data scientists, product managers, and software engineers to integrate LLMs into products.  
• Conduct thorough testing and validation of models to ensure robustness and reliability. 
• Continuously research and stay up to date with advancements in LLMs and related technologies. 
• Develop and document methodologies, findings, and best practices for LLM fine-tuning. 
• Mentor junior team members and contribute to a culture of continuous learning.  
• Participate in code reviews and ensure high coding standards within the team.  
• Engage in the full machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring 

What You'll Need to Be Successful:

• Education:Master’s degree in Computer Science, Information Systems, Mathematics, Computer Engineering or a related field or foreign equivalent degree. 
• 3 years+ industry experience in machine learning, with a focus on developing language models and natural language systems;  
• 3 years+ experience developing LLMs, such as GPT, BERT, or similar models.  
• 3 years+ experience working with Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.  
• 3 years+ experience with cloud services (e.g. AWS, GCP, Azure) and ML infrastructure. 
• 3 years+ experience working with software engineering principles and fundamentals, including data structures and algorithms.  
• 3 years+ experience developing problem-solving skills and working in a collaborative team environment.  
• 3 years+ experience working with embeddings, vectorization, and database optimization. 
• 3 years+ experience working with ethical considerations in AI and a commitment to developing responsible AI solutions.