ML Ops Engineer, Hayden AI

$174.3-226k

+ Equity + Bonus

AWS

GCP

Python

Linux

Junior and Mid level

San Francisco Bay Area

3 days a week in office

AI-powered smart traffic enforcement platform

Be an early applicant

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Be an early applicant

$174.3-226k

+ Equity + Bonus

AWS

GCP

Python

Linux

Junior and Mid level

San Francisco Bay Area

3 days a week in office

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Company mission

To harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

Job

Company

Role

Who you are

Bachelors Degree with 3-4 years of experience or a Masters Degree with 2 years experience in Computer Science, Electrical Engineering, or a related field
Core Skills: General Software Engineering skills with 3+ years of programming experience in python and the surrounding tooling ecosystem along with familiarity in linux and expertise in infrastructure, cloud and/or MLOps
Personal Attributes: Team player, good communication skills, self starter
Strong teamwork and communication skills to collaborate with cross-functional teams, including ML and software engineers
Nice to Have: Experience building MLOps pipelines for deep learning based perception solutions on AWS or GCP

What the job involves

As a MLOps Engineer within the Perception Deep Learning team, you will lead the design and evolution of our machine learning platform, enabling teams to build, deploy, and scale intelligent systems with reliability and speed
In this role, you will partner closely with perception, deep learning and platform engineers to build infrastructure to train and operationalize machine learning models and drive best practices across the ML lifecycle
You will play a key role in shaping the architecture of our ML infrastructure, from data ingestion and training pipelines to deployment, monitoring, and governance
As a senior member of the team, you will influence technical strategy, mentor engineers, and champion a culture of reproducibility, observability, and continuous improvement
Design, deploy and maintain cloud based workflows to ensure efficient deployment and management of AI models
Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency
Ship new features and updates rapidly, maintaining a high level of quality and reliability. Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance
Stay informed with the state of the art tools and technologies in the domain of MLOps and implement them for making the ML workflows more efficient and effective
Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions. Keep software development documents accurate and updated

Our take

Cities around the world are dealing with clogged bus lanes, blocked stops, and traffic violations that slow down public transit and put people at risk. It's a huge problem that most cities face, but one that's often hard to monitor or enforce effectively.

Hayden AI is tackling this problem with its smart, bus-mounted cameras powered by AI. They automatically detect when vehicles block bus lanes or stops, helping cities gather real-time data and tacke action to imprvoe safety and traffic flow. Already in use in cities like New York, LA, and now Barcelona and Braga, it's a neat idea and one that's keeping buses moving and riders safe.

Its work is more than just ticketing, it's about making cities smarter, greener, and safer for everyone and its been making big moves. It just wrapped up its pilot in Portugal that revealed nearly 8,000 violations in just three months, and launched the largest automated enforcement project in Europe in Barcelona. With over $193M raised, the company is certainly growing fast and turning head in the govtech space.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Aug 2022

$4m

LATE VC

Sep 2020

$35m

SERIES B

Total funding: $53m

Company HQ

China Basin, San Francisco, CA

Leadership

Vaibhav Ghadiok

(Co-Founder & CTO)

Previously a Robotics Engineer at Nixie Labs, Head of Mapping at NAUTO, and Navigation & Perception Lead at Visible Sensors.

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