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Xometry · 1 day ago

Principal ML Engineer, ML Platform Engineering

United States

Full-time

Remote

Senior Level, Lead/Staff

$140K/yr - $182K/yr

7+ years exp

Xometry is a leading digital marketplace that connects innovative ideas with manufacturers. They are seeking a Principal Machine Learning Engineer to join their core machine learning platform engineering team, where the role involves delivering foundational infrastructure for AI/ML solutions and mentoring other engineers.

3D PrintingArtificial Intelligence (AI)Industrial EngineeringSoftware

No H1B

U.S. Citizen Only

Responsibilities

Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams

Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills

Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering

Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines

Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics

Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization

Qualification

Machine Learning EngineeringCloud Infrastructure (AWS)Machine Learning LifecycleSoftware Engineering PrinciplesInfrastructure as Code (IaC)REST API DesignPython ProgrammingContainerization DockerContainerization KubernetesMultimodal Data ProcessingExperience in ManufacturingCommunication SkillsMentorship

Required

At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role

A bachelor's degree is required

Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security

Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc

Strong technical expertise in software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration

Strong technical expertise in machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow)

Strong technical expertise in Infrastructure as Code (IaC), especially Terraform

Strong technical expertise in REST API design and implementation

Strong technical expertise in object oriented and functional programming in Python

Strong technical expertise in multimodal data processing (e.g., combining text, image, and 3D data)

Strong technical expertise in AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis

Strong technical expertise in containerization technologies (Docker and Kubernetes)

Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors

Must be a US Citizen or Green Card holder (ITAR)

Preferred

An advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience

Experience in the manufacturing, supply chain, or similar industries is a plus