Senior Machine Learning Engineer, Computer Vision

WHO WE ARE

The real world is the next frontier, and at Metropolis, we are creating the

artificial intelligence to make it responsive. We are pioneering the Recognition

Economy — a future where mundane repetition disappears and being known unlocks

access, comfort and belonging everywhere you go. From transforming parking into

a seamless drive-in, drive-out experience for millions of Members to expanding

our intelligence layer across retail and hospitality, we are building a world

that feels instinctive and magical. The future isn’t coming; it’s here, and we

need builders, innovators and problem solvers to help us create it.

WHO YOU ARE

We are seeking a Senior Machine Learning Engineer to play a key role to join our

growing team. As a key member of the Advanced Technologies team, you will play a

critical role in designing, developing, and deploying state-of-the-art computer

vision and recommendation models that power our core products and solutions.

Your work will involve tackling challenging problems in object detection,

tracking, OCR, video analytics, and multi-modal systems. This role involves a

unique blend of technical expertise in data and machine learning, innovative

thinking, and a passion for data-driven solutions.

WHAT YOU'LL DO

* Design, develop, and deploy advanced computer vision models for real-world

applications, including object detection, tracking, OCR, image search, and

scene understanding

* 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

WHAT WE'RE LOOKING FOR

* 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)

* 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 leveraging AI tools to transform static workflows into responsive,

high-output processes

WHILE NOT REQUIRED, THESE ARE A PLUS:

* Experience with C++

* Experience in high-growth, innovative environments

* Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong

plus

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4 Days in Office: Metropolis values in-person collaboration to drive innovation,

strengthen culture, and enhance the Member experience. Our corporate team

members hold to our office-first model, which requires employees to be on-site

at least four days a week, fostering organic interactions that spark creativity

and connection

When you join Metropolis, you'll join a team of world-class product leaders and

engineers, building an ecosystem of technologies at the intersection of parking,

mobility, and real estate. Our goal is to build an inclusive culture where

everyone has a voice and the best idea wins. You will play a key role in

building and maintaining this culture as our organization grows. The anticipated

base salary for this position is $150,000.00 to $200,000.00 annually. The actual

base salary offered is determined by a number of variables, including, as

appropriate, the applicant's qualifications for the position, years of relevant

experience, distinctive skills, level of education attained, certifications or

other professional licenses held, and the location of residence and/or place of

employment. Base salary is one component of Metropolis’s total compensation

package, which may also include access to or eligibility for healthcare

benefits, a 401(k) plan, short-term and long-term disability coverage, basic

life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1

#LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or

evaluate your candidacy for employment or promotion. AEDTs are used to assist in

assessing a candidate’s application relative to the required job qualifications

and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy,

including personal information, for a period that is reasonably necessary for

the use of the tool. If you are hired for the position, your data may become

part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring

decisions based on merit, qualifications, and business needs, without regard to

race, color, religion, sex (including gender identity, sexual orientation, or

pregnancy), national origin, disability, veteran status, or any other protected

characteristic under federal, state, or local law.