Xometry · 19 hours ago
Senior Manager, ML Engineering
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years exp
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No H1B
U.S. Citizen Only
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Responsibilities
Lead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.
Lead the productionization of ML models and their deployment to quickly iterate on ML at the core of our business
Be hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.
Collaborate with data scientists, product managers, software engineers, and other stakeholders to define project requirements and deliverables.
Develop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.
Implement and manage infrastructure for large-scale data processing, model training, and inference.
Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.
Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.
Manage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.
Foster a culture of innovation, collaboration, and continuous learning within the engineering team.
Qualification
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Required
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)
Preferred
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)
Company
Xometry
Xometry is an online marketplace that allows customers to access a network of machine shops and custom manufacturers.
1,001-5,000 employees
Funding
Current Stage
Public CompanyTotal Funding
$197.2MKey Investors
T. Rowe PriceBosch VenturesGreenspring Associates
2022-02-04IPO· fra:0N5
2020-09-09Series E· $75M
2019-07-11Series D· $5M
Leadership Team
Randy Altschuler
Founder and CEO
James Miln
Chief Financial Officer
Recent News
GlobeNewswire News Room
2024-11-11
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2024-11-05
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