What are the responsibilities and job description for the Senior Machine Learning Engineer, Computer Vision position at metropolis?
Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
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, itracking, 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
- MS or PhD (preferred) 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
While not required, these are a plus:
- Experience with C is a plus
- Experience in high-growth, innovative environments is a plus
- Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus
Our Stack
- Languages Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
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 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
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.
Salary : $150,000 - $200,000
