Software Engineer, ML Infrastructure
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
Offer value
This listing maintains a medium value driven by the relevance of the AI/ML field to contemporary software requirements, despite unclear compensation.
- Contributions to pivotal AI-driven initiatives.
- Flexible working culture promoting collaboration.
- Possibility of expanding knowledge in AI/ML.
- Absence of salary details may deter applicants.
Pros
- Access to pivotal AI development projects.
- Supportive and flexible team culture.
- Gain valuable experiences across various technologies.
Cons
- No disclosed salary range could mislead candidates.
- Role caters primarily to early-career applicants.
- Remote work flexibility varies by project.
Who it's for
Early Career / Recent Grad • Remote/Flexible
Good fit
- Entry-level software engineers
- Tech enthusiasts eager to learn about AI.
- Individuals passionate about software infrastructure roles.
Not recommended for
- Experienced developers seeking advanced positions
- Candidates needing strict corporate environments
- Individuals lacking interest in ML technologies.
Motivation fit
Key skills
About the job
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 nearly 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:
Here, you’ll join a structured, scalable-engineering team that collaborates across ML, data and product functions — and enjoys a culture that is open, flexible and far from traditional corporate rigidity.
What You’ll Do
- Design and build backend systems that power AI/ML workflows and GenAI-based agents.
- Develop tools and platforms for model training, deployment, observability and monitoring.
- Collaborate closely with ML scientists, data engineers and product teams to integrate AI features into real-world systems.
- Ensure reliability, scalability and performance of the infrastructure — while maintaining flexibility to adopt the best tools and frameworks (Python, AWS, etc.).
- Grow in understanding ML systems, pipelines and infrastructure, while owning meaningful components and contributing to major platforms.
What We’re Looking For
- 1-4 years of software engineering experience (backend-oriented) or relevant internship/project experience.
- Strong fundamentals in software design, coding and distributed systems (Python is preferred).
- Demonstrated curiosity about ML/AI systems, pipelines or infrastructure. MLOps experience is a plus but not required.
- Excellent communication and collaboration skills, comfort working cross-functionally with ML, data & product teams.
- Self-starter mentality — eager to learn, iterate and own components.
- Bachelor’s degree in Computer Science, AI/ML, or comparable experience.
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.
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