Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or related field., At least 3 years of software development experience., Proficiency in Python or similar programming languages., Experience with ML Ops infrastructure, including training pipelines and scalable inference services..

Key responsibilities:

Lead the development of systems enabling AI R&D teams to deliver scalable, secure services.

Define and prioritize ML Platform initiatives and infrastructure improvements.

Create deployment pipelines and build infrastructure for testing and validation.

Mentor junior engineers and promote best engineering practices.

Job description

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

As a Software Engineer on the ML Platform team, you will lead the effort to build systems that enable AI R&D teams to deliver secure, highly scalable, distributed services. You will leverage technology such as Kubeflow, Kubernetes, Helm, Terraform, Python to build inference systems, infrastructure, and training pipelines as well as the distributed systems themselves. You will also provide guidance and mentorship to junior engineers.

What You'll Do:

Help define the direction for the team.
Define and prioritize ML Platform initiatives.
Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.
Become one of the subject matter experts on the team. Create deployment pipelines; take code from git to production.
Build infrastructure that enables fast, robust automated testing and validation.
Improve the performance and reliability of existing systems.
Coach junior engineers.

What We're Looking For:

Building ML Ops infrastructure such as training pipelines.
Building services to deliver inference in a scalable manner.
Establishing monitoring best practices and implementing systems to enforce them.
Practicing and advocating for best engineering practices throughout the ML org.
B.S. or M.S. in Computer Science or a related field
3+ years software development experience
Experience improving the ML infrastructure with multiple stakeholders in a large organization.
Experience in Python or similar language.
Working knowledge of AWS services and technologies.
Experience with Kubeflow pipeline development and management.
Nice to have exposure with infrastructure as code and configuration management such as Terraform, CloudFormation.

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote

Required profile