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Senior Machine Learning Engineer

SpringCube

Full time - Senior Engineer

Sports

United States, Boston - Massachusetts

Published 2 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading technology-driven company is leveraging artificial intelligence to transform customer experiences, streamline operations, and drive innovation. The organization focuses on applying advanced AI and machine learning techniques to solve complex business challenges, providing scalable solutions that impact core decision-making processes. Teams thrive on collaboration, experimentation, and emerging technologies to shape the future of the business.

Summary
The Senior Machine Learning Engineer will design, build, and deploy production-ready machine learning systems that solve analytically complex challenges across the organization. The role blends data science, software engineering, and experimentation to deliver high-impact solutions while influencing best practices in machine learning across teams.

Responsibilities

  • Design and refine scalable pipelines for training, evaluating, and deploying machine learning models across diverse use cases
  • Build rigorous testing and statistical validation frameworks to measure model performance and ensure reliability in production
  • Optimize models for production readiness, improving computational efficiency, latency, and resource utilization
  • Implement real-time monitoring systems to detect data drift, model decay, and performance degradation, proactively maintaining accuracy
  • Partner with cross-functional teams to design, build, and deploy end-to-end machine learning applications that scale with business growth
  • Champion machine learning best practices, including responsible and ethical AI development, documentation, and reproducibility
  • Identify and lead technical initiatives that elevate platform capabilities and advance the team’s machine learning standards

Qualifications

  • At least 3 years of software engineering experience designing, building, and operating machine learning and AI systems in production environments
  • Strong foundation in machine learning and statistics with proven application to real-world problems
  • Hands-on experience managing the full machine learning lifecycle, including data preparation, feature engineering, deployment, and monitoring
  • Expertise in Python, and experience with additional languages or tools supporting scalable ML systems
  • Experience with modern platform and infrastructure technologies such as Databricks, Kubernetes, and Terraform
  • Strong communication and leadership skills with the ability to influence stakeholders and collaborate effectively
  • Passion for mentoring teammates, sharing knowledge, and fostering technical growth
  • Ability to work autonomously, proactively identifying opportunities and driving technical improvements from idea to execution

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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