Level

Ultralytics

ML Engineer

Ultralytics is hiring an ML Engineer in Shenzhen, China. Level rates it ; you can apply on Ultralytics.

Level's read on this job

  • Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
  • The posting allows some remote work.
  • Tools and skills the posting cites include PyTorch, Python and Tensorrt.
  • Level classifies it as a senior role.
  • Level lists 14 other open roles at Ultralytics.

AI in this role

Develop, train, and optimize state-of-the-art computer vision models and YOLO architectures as an ML Engineer.

pytorchpythontensorrtopenvinoonnxgithub-actionsyolo
ml-opscomputer-visionmachine-learningmodel-optimizationquantizationpruning

About Ultralytics:

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.

🌎 Where and how you can work

This full-time Machine Learning Engineer position is based at our brand-new Ultralytics office in Shenzhen, China, with a hybrid model of three days in-office and two days remote. Applicants must have legal authorization to work in China, as Ultralytics does not provide visa sponsorship.

🚀 What you'll do

As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include:

  • Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.

  • Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework.

  • Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX.

  • Managing and processing large-scale datasets and implementing advanced data augmentation strategies.

  • Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model training, testing, and benchmarking.

  • Collaborating with our research and engineering teams to implement cutting-edge techniques and contribute to our open-source repositories.

  • Engaging with our global community by creating documentation, tutorials, and supporting users to solve real-world problems with our technology.

Your expertise will be critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone.

🧠 Skills and experience

🌟 Cultural fit

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

💰 Compensation and benefits

  • Competitive salary: Highly competitive based on experience.

  • Equity packages: Participate directly in our company's growth and success.

  • Hybrid flexibility: 3 days per week in our brand-new office — 2 days remote.

  • Generous time off: 24 days vacation, your birthday off, plus local holidays.

  • Flexible working hours: Tailor your working hours to suit your productivity.

  • Tech & tools: Engage with cutting-edge AI projects.

  • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.

  • Team: Become part of a supportive and passionate team environment.

If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

What we offer:

Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.

Impactful Work: Shape the future of AI-powered solutions that transform industries.

Collaborative Culture: Join a talented and passionate team that values open communication and innovation.

Ultralytics Handbook

Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.

Link: https://handbook.ultralytics.com/

Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.

How we rate this

ML Engineer at Ultralytics rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionMachine learningModel OptimizationQuantizationPruningPyTorchPython

Also common in machine learning engineer jobs at this level

Pay

Typical machine learning engineer job
$199k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where model optimization was part of your work. What did you do?
  5. Tell me about a project where quantization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Computer vision, Machine learning, Model Optimization, and Quantization. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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