Machine Learning Deployment Engineer

Montreal, Quebec, Canada

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, and have at least 5 years of experience in machine learning deployment, with a strong understanding of production systems and software engineering principles. Experience with edge computing, embedded systems, and automotive-grade hardware is highly desirable. Familiarity with model quantization, pruning, and compression techniques is also expected.

Responsibilities

The Machine Learning Deployment Engineer will deploy and optimize machine learning models for production environments, ensuring real-time performance and resource efficiency on edge devices and automotive-grade hardware. They will implement model quantization, pruning, and compression techniques, collaborate with ML engineers to transition research-grade code into production-ready systems, design and optimize end-to-end inference pipelines, integrate model outputs with upstream and downstream systems, and partner with DevOps teams to build CI/CD pipelines for automated model deployment, testing, and rollback.

Skills

Machine Learning

Model Deployment

Model Optimization

Real-time Performance

Edge Devices

Data Science

Architectural Design

Model Validation

Team Collaboration

Mentoring

Torc Robotics

Develops autonomous driving technology for trucks

About Torc Robotics

Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows trucks to operate without human intervention in specific conditions. Their technology enhances road safety and meets the logistics industry's growing demands. Torc Robotics partners with major truck manufacturers, like Daimler Trucks, and collaborates with companies such as Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to fleet operators and truck manufacturers, while also providing ongoing support and updates. The company's goal is to improve efficiency and safety in freight transportation through their autonomous solutions.

Blacksburg, VirginiaHeadquarters

2005Year Founded

M_AND_ACompany Stage

Robotics & Automation, Automotive & TransportationIndustries

501-1,000Employees

Benefits

A competitive compensation package that includes a bonus component and stock options

100% paid medical, dental, and vision premiums for full-time employees

401K plan with a 6% employer match

Flexibility in schedule and generous paid vacation (available immediately after start date)

Company-wide holiday office closures

AD+D and Life Insurance

Risks

Increased competition from companies like Waymo and Aurora could impact market share.

Expansion into new markets involves significant operational costs and regulatory risks.

The strategic partnership with Daimler may limit alliances with other truck manufacturers.

Differentiation

Torc Robotics specializes in self-driving truck technology, focusing on Level 4 autonomy.

The company has a strategic partnership with Daimler Trucks for autonomous vehicle development.

Torc's modular products enable rapid integration of robotic systems for various applications.

Upsides

Torc is expanding operations to Texas and Michigan, enhancing market presence.

The company won the 2024 Top Software & Tech Award in the Robotics category.

Torc's focus on autonomous Class 8 trucks addresses aging workforce and rising demand.

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