Senior Applied Machine Learning Engineer – Software Engineering Focus

🔥 6 minutes ago

🌽 Illinois – Remote

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💵 $120k - $193.7k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of Allstate

Allstate

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Implement applications following 12-factor principles to build products and iterative enhancements • Own the full stack of software products and backend services • Leverage test-driven development and continuous integration to ensure product agility and quality • Participate in product architecture and design decisions • Design, develop, and maintain UI, APIs, backend services, and supporting infrastructure • Practice daily paired programming and test-driven development • Expand test coverage and ensure adherence to test-driven development practices • Execute product strategy with customer needs in mind • Serve as an expert on a business domain and provide leadership on at least one technology stack • Coach more junior team members on technologies and XP practices • Establish continuous integration, delivery, and deployment pipelines • Review deployment readiness through automated and manual verification • Troubleshoot production issues and perform root cause analysis during service disruptions • Support software products in user environments • Address security findings, vulnerability remediation, and compliance requirements • Lead and participate in team standups • Participate in retrospectives and derive actionable improvements • Participate in iteration planning meetings to align on backlog stories and chores

🎯 Requirements

• 3 or more years of experience • Strong proficiency in Java 17+ and Spring Boot 4.x+ • Proficiency in Python • Experience deploying GenAI and/or machine learning systems into production • Experience building GenAI systems is preferred but not required • Prior experience building and/or supporting CI/CD pipelines (Jenkins, GitHub Actions, or equivalent) • Prior experience working with MongoDB, including schema design, indexing, and performance optimization • Demonstrated experience supporting production applications, monitoring, and incident response • Prior experience implementing authentication (OAuth, OIDC, SSO) • Familiarity with observability platforms, logging, and application monitoring • Prior experience using cloud services (AWS, Azure, GCP) is a plus • Background investigation required • Must have a dedicated, private workspace when working from home • Reliable internet with minimum speeds of 50 MB download and 5 MB upload required

🏖️ Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to help offset internet costs

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