Staff Machine Learning Engineer

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today’s most pressing challenges with cutting-edge solutions.

The Staff MLOps Engineer will lead the design, development, and implementation of scalable machine learning operations (MLOps) pipelines and infrastructure. This role is critical for ensuring that machine learning models are efficiently deployed, monitored, and maintained in production environments. The engineer will work closely with machine learning engineers, data scientists/engineers, and platform/SRE engineers to streamline and automate data ingestion, model deployment, ensuring high availability,...

The Staff Machine Learning Engineer is a seasoned professional with at least 10 years of experience in a variety of machine learning techniques, especially in the predictive AI realm to identify malicious behavior patterns. Specialized in finance or crypto within the technology industry, this individual excels in leading problem-solving, driving coding excellence, ensuring comprehensive testing, and adopting scalable and secure software implementations for solutions in areas like trading, swapping, regulatory compliance, fraud detection, automation, and more.

Who we are

Paxful is a people-powered marketplace for moving money from anywhere, to anyone. With over 12 million users across 170+ countries, Paxful offers access to crypto and local currencies using more than 450 payment methods.

Requirements

• Past experience within the fintech sector, or understanding of financial regulations, compliance, and security...

Reveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal’s mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We bring together domain understanding and engineering excellence to create meaningful products and platforms. Our multi-dimensional team is made up of industry experts, product designers and passionate software engineers located across the US and India. 

If all of this resonates with you and building a business from 0 to 1 excites you, read on to the JD.

Requirements

What do we need?

We are looking for a talented and passionate Staff Machine Learning Engineer to join our growing team. As a technical lead, you will be responsible for architecting, developing, and deploying cutting-edge machine learning solutions. Your experience...

*We are not working with recruitment agencies at this time*

Owl.co enables insurers to fight illegitimate claims at scale while removing human bias from the process. Our clients are the top insurance companies across North America and are getting incredible results through our AI-powered evidence-based platform. We are on a mission to bring state-of-the-art ML and NLP methods to transform this traditionally manual activity into an equitable process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

We are actively seeking a highly motivated and experienced Senior Software Engineer, with a strong focus on machine learning and natural language processing (NLP) to drive the development of the core intelligence underlying our innovative products. In this role, you will collaborate closely with various teams, leading the design, implementation, and production of some of the most impactful systems in the insurance...