Senior ML Platform Engineer & Tech Lead

Xometry; North Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a Principal Machine Learning Engineer, where you will lead innovative projects that power a digital marketplace. This high-visibility role offers the chance to work hands-on with cutting-edge technologies, mentor engineers, and shape the future of AI/ML solutions. You will have ownership of your work and the opportunity to drive significant impact within the organization, all while collaborating with a diverse team of experts. If you're passionate about machine learning and looking to challenge yourself in a dynamic environment, this is the perfect opportunity for you.

Qualifications

• 7+ years of experience in machine learning or software engineering.
• Experience designing cloud infrastructure for ML models.
• Strong technical expertise in ML techniques and algorithms.

Responsibilities

• Lead technical efforts by coding, troubleshooting, and mentoring.
• Ensure operational excellence in ML infrastructure delivery.
• Collaborate with product managers and data scientists.

Skills

Machine Learning Engineering

Software Engineering

Cloud Infrastructure (AWS)

Deep Learning (PyTorch, Tensorflow)

Infrastructure as Code (Terraform)

REST API Design

Python Programming

Multimodal Data Processing

Education

Bachelor's Degree in Computer Science

Master's Degree or PhD in related field

Tools

Docker

Kubernetes

AWS Services (SageMaker, Lambda, etc.)

Job description

Join a forward-thinking company as a Principal Machine Learning Engineer, where you will lead innovative projects that power a digital marketplace. This high-visibility role offers the chance to work hands-on with cutting-edge technologies, mentor engineers, and shape the future of AI/ML solutions. You will have ownership of your work and the opportunity to drive significant impact within the organization, all while collaborating with a diverse team of experts. If you're passionate about machine learning and looking to challenge yourself in a dynamic environment, this is the perfect opportunity for you.