Senior Machine Learning Engineer

🕒 July 24

🌵 Arizona, California, +10 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote ⚔️ Virginia – Remote

💵 $133.8k - $180.6k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Agero, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

🛡️ Insurance

📦 Logistics

🚗 Transport

Insurance • Logistics • Transport

Agero, Inc. is a leader in the driver assistance industry, providing a comprehensive suite of solutions including roadside assistance, accident management, and an electric vehicle experience. The company serves a wide range of industries including automakers, insurance providers, and service providers. Agero's solutions are powered by their intelligently designed platform, SWOOP, which enhances transparency and real-time communication. With over 115 million drivers protected annually and partnerships with top insurance carriers, Agero is dedicated to transforming the driving experience through digital innovations and strategic partnerships.

📋 Description

• 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.

🎯 Requirements

• 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 experience. • 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.

🏖️ Benefits

• Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families. • 401(k) plan with company match and tuition assistance to support your future goals. • Flexible time off, paid sick leave, and ten paid holidays annually. • Parental planning benefits to assist associates through life’s milestones. • Bonus/Incentive Programs