Xometry

Senior Manager, ML Engineering

Los Angeles, CA
Deep Learning TensorFlow GCP Azure Spark Machine Learning PyTorch AWS Docker Kubernetes Hadoop
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. Xometry’s 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 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.

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 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.

Qualifications:

  • 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 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).

#LI-Hybrid

Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

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.

Xometry
Xometry
3D Printing Artificial Intelligence Industrial Engineering Software

0 applies

6 views

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 452 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
  • We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
  • We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
  • Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
  • Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
  • Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅

What Fellow Engineers Say

Michael Duran avatar
Michael Duran
Software Engineer
I've been using this job search site for a while now, and it’s honestly one of the best out there! The clean and easy-to-navigate UI makes the whole job-hunting process so much smoother. Plus, the job postings are always up-to-date, so I never feel like I’m wasting time. The cherry on top is the owner—super kind and always quick to respond. Definitely recommend checking it out if you're on the job hunt!
Aug 21, 2024
Sai avatar
Sai
It’s really great website for finding jobs based on skills it’s really helpful give a go
Aug 21, 2024
Adinadh avatar
Adinadh
What I like most about Echo Jobs is how easy it is to use. The platform helps me quickly find jobs that match my skills and interests, thanks to its great recommendations and filters. Yes, I would definitely recommend Echo Jobs to a friend. It makes job searching simple and efficient, making it a great tool for anyone looking for a new job.
Jul 23, 2024
As a student navigating the job market, I've found LinkedIn increasingly frustrating due to numerous fake postings by consultancies. In contrast, this job posting website has been a game-changer for me. It offers genuine opportunities and a straightforward application process, making it much easier to find and apply for real jobs. Highly recommend it to fellow students seeking reliable job listings!
Jul 16, 2024
Cliff Gor avatar
Echo Jobs has been exceptional in my job hunt where it provides one platform to job hunt and I don't have to open 10 websites just to look for a job. It has also helped me focus much on the job skill and the location filtering out the onsite jobs and remote ones. The only feature that I would request is to display fully remote jobs that are not restricted to a country since the one available shows ie, Remote, US yet. But if it could show remote only, that would be helpful not only to me but to other people applying for full remote and not tied to only US candidates
Apr 22, 2024
I found EchoJobs in 2022, and I love it. It has a lot of remote jobs. It's exclusive to software and technology jobs (helpful for devs like me). What I like the most are its filters and its API. If you're a tech professional seeking remote work, I highly recommend giving it a try to EchoJobs.
Mar 4, 2024
Would definitely recommend it! Excellent product, dedicated founder, Jobs are easier to find. Congrats 🎉 to the entire team!
Mar 3, 2024
Brandon Banks avatar
Brandon Banks
Echo Jobs is really impressive. It provides a great user experience with an ability to quickly search through the many job postings. There is an impressive amount of jobs here and it is quickly updated. The details in the each job posting is helpful when determining if it is worth pursuing. I would highly recommend using Echo Jobs to find the next step in your career.
Mar 2, 2024
Tyler Young avatar
Tyler Young
tylerayoung.com
Best wishes with EchoJobs—it's become my favorite job board overnight!
Dec 16, 2023
Simply put, it's the most up to date tech jobs aggregator I’ve found. I'm like... "I don't have to check 10+ jobs boards daily just to see if there's a new job listing? sign me up!" The filters are also quite helpful! The UI is very clean and straightforward. Love it!
Oct 5, 2023