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Machine Learning Engineer

SpringCube

Full time - Senior Engineer

IT Services & Consulting

United States, Boston - Massachusetts

Published 4 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 U.S.-based, employee-owned small business delivers advanced technical solutions to the National Security Ecosystem. With offices in Cambridge, MA, Arlington, VA, and Seattle, WA, the organization combines a carefully selected team of scientists, engineers, and software developers to solve complex multidisciplinary challenges. Their work spans AI, machine learning, computer vision, and other cutting-edge technologies, supporting mission-critical operations and enabling clients to leverage advanced analytics effectively.

Summary
The Machine Learning Engineer will design, implement, and manage complex ML algorithms and systems, focusing on computer vision and other data modalities. The role involves acquiring ground truth data, integrating and testing algorithms, performing literature reviews, analyzing field test data, and developing advanced solutions for operational environments. Experience or interest in Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus.

Responsibilities

  • Develop, fine-tune, train, and optimize computer vision algorithms for tasks such as object detection and tracking
  • Utilize MLOps tools to ensure reproducible experiments, efficient data management, and streamlined workflows
  • Write robust, efficient, and maintainable code for algorithm deployment
  • Conduct rigorous experiments and evaluations to assess model effectiveness and efficiency
  • Stay current with machine learning research to integrate new techniques and methodologies
  • Collaborate with engineering teams to transition algorithms to production on cloud, on-premises, or real-time embedded systems
  • Support mission-critical applications for National Security clients

Skills and Requirements

  • U.S. CITIZENSHIP REQUIRED with eligibility for U.S. Security Clearance
  • Master’s or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or a related field
  • Proven experience applying computer vision models, frameworks, and libraries, including implementation and fine-tuning
  • Demonstrated ability to test and validate AI technologies in real-world environments
  • Proficiency in Python programming
  • Experience with cloud platforms such as AWS and Azure
  • Familiarity with Docker and containerized environments
  • Experience using MLOps tools such as Airflow, MLFlow, or AimStack
  • Strong communication skills with the ability to engage effectively with clients
  • Understanding of Department of Defense requirements and standards is a plus

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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