Machine Learning Engineer, Computer Vision at Metropolis

Seattle, Washington, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Vision, Parking TechnologyIndustries

Requirements

MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience
3+ years of experience in machine learning and software engineering, with expertise in computer vision and multi-modal models
Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
Strong experience with cloud services, preferably AWS
Familiarity with Machine Learning model serving infrastructure and best practices
Knowledge of transactional and analytical database technologies
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

Responsibilities

Work with the machine learning team to perform state-of-the-art research, train, and optimize machine learning algorithms
Design, implement, and maintain active learning algorithms and generative vision models to ensure cost efficient data sampling and learning
Maintain and revisit innovative methodologies to curate high quality data and annotations
Design, implement, and maintain the machine learning data pipelines and infrastructure
Work with technologies like AWS, SQL/NoSQL databases, Kafka, Airflow, and NVIDIA Triton, ensuring efficient and effective use of these tools
Collaborate with other Engineering and Product teams to define requirements and facilitate the smooth deployment of software into production
Play a vital role in the entire development lifecycle, from concept and requirement identification to implementation
Implement best practices in automation, testing, and deployment to foster rapid feature/model development and release
Foster a culture that views bugs and production issues as opportunities for improvement
Contribute to the hiring and cultural development within Metropolis Engineering
Ensure high availability and scalability of Machine Learning systems
Collaborate with partners to integrate their products seamlessly into the Metropolis platform

Skills

Machine Learning

Computer Vision

Active Learning

Generative Models

Data Pipelines

AWS

SQL

NoSQL

Kafka

Airflow

NVIDIA Triton

Python

Metropolis

Technology-driven facility management for parking

About Metropolis

Metropolis focuses on improving facility management, particularly in the parking sector, by using computer vision technology to facilitate checkout-free payments. This technology allows drivers to park and pay without the need for traditional payment methods, making the process more efficient. Metropolis serves a variety of clients, including real estate owners and valet services, and operates in over 360 cities across North America, processing more than $4 billion in payments each year. What sets Metropolis apart from its competitors is its integration of payment solutions with facility management services, which not only enhances the parking experience but also increases asset productivity for its clients. The company's goal is to streamline parking operations and create revenue opportunities for its clients through its advanced technology and services.

Santa Monica, CaliforniaHeadquarters

2017Year Founded

$1,240.7MTotal Funding

DEBTCompany Stage

Automotive & Transportation, Fintech, Real EstateIndustries

501-1,000Employees

Benefits

Health Insurance

401(k) Retirement Plan

Disability Insurance

Life Insurance

Stock Options

Performance Bonus

Risks

Increased competition from BMW-owned ParkMobile may impact market share.

The SP Plus acquisition may pose integration challenges and financial strain.

Rapid expansion could lead to operational inefficiencies and quality control issues.

Differentiation

Metropolis uses AI and computer vision for checkout-free parking payments.

The company integrates its platform into field operations for revenue generation.

Metropolis serves diverse clients, including real estate and valet services.

Upsides

Metropolis processes over $4 billion in payments annually across 360 cities.

The acquisition of SP Plus Corporation expands Metropolis's market reach.

AI-driven dynamic pricing models optimize revenue in real-time.

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