Senior Machine Learning Software Engineer at Metropolis

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Vision, MobilityIndustries

Requirements

BS, MS, or Ph.D. in Computer Science and Engineering or relevant discipline
5+ years experience in modern software design, development, version control, refactoring, and testing
5+ years of experience with C++17 onward and a strong understanding of object-oriented programming
3+ years of experience working with C++ OpenCV, SQLite, and MQTT
Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries
Experience with ARM Cortex series microcontroller
Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences
Previous experience working inside innovative, high-growth environments
Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York

Responsibilities

Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++
Participate in all phases of embedded software development, from concept and design to deployment and maintenance
Identify top-level software requirements and establish development best practices
Deliver high-quality C++ code in a real-time embedded environment
Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc
Implement, manage, and support over-the-air software updates to edge systems
Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences

Skills

C++

OpenCV

Computer Vision

Machine Learning

Embedded Systems

Edge Computing

Software Deployment

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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