Machine Learning Engineer for Visionary Projects

2 days ago


Los Angeles, California, United States Metropolis Full time

Metropolis is an artificial intelligence company that empowers frictionless experiences using computer vision technology. Our mission is to revolutionize everyday interactions by providing unparalleled speed, ease, and convenience. We envision a future where people can transact in the real world with the same efficiency as online platforms.

The Company Overview

We are reimagining parking to enable millions of consumers to enjoy seamless checkout-free experiences. Our goal is to give people back their most valuable asset – time. By harnessing the power of computer vision and AI, we aim to create remarkable experiences in living, working, and playing.

Job Description

We are seeking a Senior Machine Learning Engineer to join our Advanced Technologies team. As a key member, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems.

  • Key Responsibilities:
  • Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, image classification, tracking, OCR, and video analytics.
  • Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments.
  • Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions.
  • Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions.
  • Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment.
  • Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices.
  • Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives.
  • Mentor junior team members, providing technical guidance and fostering professional growth.
  • Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning.
Required Skills and Qualifications

To succeed in this role, you should possess:

  • MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience.
  • 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production.
  • Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT). Experience with C++ is a plus.
  • Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile).
  • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes)
  • Proven experience in building and maintaining data pipelines (e.g., Airflow).
  • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins).
  • Excellent communication skills, capable of presenting complex technical information clearly.
  • Experience in high-growth, innovative environments is a plus.
  • Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus.
Benefits

We offer a comprehensive compensation package, which includes:

  • A competitive annual salary of $190,000 to $220,000.
  • Access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, and more.
  • A lucrative stock option plan and bonus plans.
Join Metropolis

We are committed to diversity, equality, and inclusion, and provide equal employment opportunities to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.



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