Senior Manager ML Engineering
Senior Manager ML Engineering
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometrys digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are seeking a highly 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. This is at the core of our business with substantial opportunity for impact by solving interesting and challenging technical problems.
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 handson 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 crossfunctional and rapidly iterating and innovating.
Key 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 handson 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 largescale data processing model training and inference.
- Drive continuous improvement in engineering practices including code quality testing and deployment automation.
- Stay uptodate 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.
Qualifications:
- Bachelors Masters 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 Scikitlearn).
- Experience with ML Ops practices including model versioning continuous integration and automated deployment.
- Proficiency in software engineering practices including objectoriented design code versioning and testing.
- Experience with cloud platforms (e.g. AWS Google Cloud Azure) and distributed computing.
- Strong problemsolving skills with the ability to lead teams in troubleshooting complex technical challenges.
- Excellent communication and interpersonal skills with the ability to collaborate effectively with crossfunctional 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 Qualifications:
- 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).
#LIHybrid
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 EVerify and after a job offer is accepted will provide the federal government with your Form I9 information to confirm that you are authorized to work in the U.S.
Required Experience:
Senior Manager
Employment Type
Full Time
