Senior Manager - ML Engineering

July 5

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Logo of Xometry

Xometry

Manufacturing • Technology • Engineering

Xometry is a leading digital manufacturing marketplace, offering a comprehensive range of on-demand manufacturing and production solutions. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, Xometry serves industries such as aerospace, automotive, medical, and electronics. The company provides instant quoting, DFM feedback, and quality assurance through its massive global supplier network, enabling clients to efficiently manage prototyping, high-volume production, and custom part manufacturing. Xometry emphasizes environmental sustainability with initiatives like carbon emission offsetting, and offers features such as the Xometry Instant Quoting Engine and Teamspace for streamlined project collaboration.

1001 - 5000 employees

Founded 2013

💰 $75M Series E on 2020-09

📋 Description

• Xometry is seeking a skilled Senior Manager of Machine Learning Engineering with a strong background in ML model productionization. • This role oversees ML Engineering efforts to productionize and deploy ML models that predict the cost to manufacture customers’ parts and determine the best price to charge for them. • The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role, and experience with pricing algorithms and deep learning. • This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems. • Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.

🎯 Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field. • 8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure. • Minimum of 3 years of experience in a management role, with a proven track record of leading engineering teams to successful project outcomes. • Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment. • Proficiency in software engineering practices, including object-oriented design, code versioning, and testing. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing. • Strong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges. • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. • Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively. • Must be a US Citizen or Green Card holder (ITAR). • Experience with pricing algorithms. • Experience with neural networks and deep learning. • Experience with containerization technologies (e.g., Docker, Kubernetes). • Knowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices. • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).

🏖️ Benefits

• Xometry is an equal opportunity employer. • All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. • For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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