Machine Learning Engineer

Responsibilities

• Model Development
• Design, build, and train machine learning and deep learning models for real-world applications
• Data Pipeline Construction
• Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion
• Evaluation and Optimization
• Run experiments, analyze performance metrics (e.g., accuracy, recall, AUC), and optimize models for performance, speed, and scalability

Qualifications

• Programming
• Strong proficiency in Python (including PySpark) with solid understanding of software architecture principles
• ML Frameworks
• Hands-on experience with machine learning libraries such as Scikit-learn
• Mathematics
• Strong foundation in statistics, probability, and algorithm design
• Data Handling
• Experience with SQL, data modeling, and building data pipelines

Preferred Qualifications

• Production Deployment (MLOps)
• Experience deploying models using tools like Docker
• LLM Experience
• Familiarity with deploying and working with local large language models (LLMs)

Pay

The salary range for this role is $135,000 to $195,000 or the hourly equivalent.

Benefits

• A comprehensive healthcare package (medical, dental, vision)
• Disability and group term life insurance
• Health and flexible spending accounts
• A utilization bonus
• 401(k) with match
• Flexible time off for salaried employees
• Parental leave for salaried employees
• Flexible work arrangements