Senior ML Engineer: Scale AI for Driver Services

Agero; California; On-site; USD 134,000 - 181,000; Full time

Benefits offered by this job

Health & Wellness benefits

401(k) with company match

Flexible time off

Ten paid holidays

Job summary

Senior Machine Learning Engineer at Agero is responsible for developing and deploying cutting-edge ML models to improve operations and customer satisfaction. You will lead end-to-end ML projects, collaborate with cross-functional teams, and ensure robust model evaluation and monitoring.

The role requires 5+ years in Python and ML systems, experience with AWS services, and a strong ability to translate data insights into business impact.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.
• 3-5 years of experience in software application development and design.
• 3-5 years experience working with Machine Learning systems.
• 3-5 years of experience with AWS services (ECR, S3, SageMaker).
• 5+ years experience in Python (Pandas, Numpy, Scikit-learn).
• Experience building large, complex systems, particularly web services, RESTful APIs, and continuous integration and delivery.
• Experience with tree based models, DVC, Airflow and/or SQL are nice to have.
• Understand fundamental design principles behind a scalable application.
• Excellent communication skills, with the ability to interact with other teams.
• Motivated to understand the nuances of data and its impact on the business.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to optimize operations and service delivery.
• Collaborate closely with cross-functional teams to define requirements, conduct feasibility analysis, and deliver scalable solutions.
• Lead the full lifecycle of machine learning projects, from ideation through to deployment and maintenance.
• Ensure adherence to best practices in machine learning, including model evaluation, validation, and monitoring.
• Drive innovation and continuous improvement in machine learning applications and processes.
• Provide technical guidance and mentorship to junior team members.
• Stay abreast of advancements in machine learning techniques and technologies to recommend improvements and new approaches.

Skills

Python

Machine Learning

AWS

RESTful APIs

software development

Communication

Data understanding

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

SageMaker

AWS S3

AWS ECR

Airflow

SQL

DVC

Job description

Senior Machine Learning Engineer at Agero is responsible for developing and deploying cutting-edge ML models to improve operations and customer satisfaction. You will lead end-to-end ML projects, collaborate with cross-functional teams, and ensure robust model evaluation and monitoring.

The role requires 5+ years in Python and ML systems, experience with AWS services, and a strong ability to translate data insights into business impact.