Machine Learning Engineer Job at Ultralytics, New York, NY

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  • Ultralytics
  • New York, NY

Job Description

🔥 Who We Are

At Ultralytics , we relentlessly drive innovation in AI, building the world's leading open-source models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .

🌎 Location and Legalities

This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in New York City. Applicants must have legal authorization to work in the United States, 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

  • 5+ years of professional experience in Machine Learning Engineering or a similar role.
  • Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch .
  • Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs.
  • Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT , ONNX Runtime , and OpenVINO .
  • Proficiency with CUDA programming and optimizing code for GPU acceleration.
  • Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker .
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment.
  • Experience contributing to major open-source projects is a significant advantage.

🌟 Cultural Fit - Intensity Required

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.
  • Startup Equity: 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 Hours: Tailor your working hours to suit your productivity.
  • Tech: Engage with cutting-edge AI projects .
  • Gear: Brand-new Apple MacBook and Apple Display provided.
  • 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.

Job Tags

Full time, Work at office, Local area, Remote work, Flexible hours, 3 days per week,

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