Software Engineer, ML Infrastructure
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
Medium offer value is attributed to the role's focus on emerging AI/ML technologies, positive company culture, and growth opportunities, although lacking specific salary information.
- Engagement with innovative AI/ML projects.
- Supportive and flexible work environment.
- Networking opportunities across diverse teams.
- Lacks explicit compensation details.
Pros
- Engagement with cutting-edge AI/ML projects in diverse industries.
- Opportunity to work in a supportive and flexible work environment.
- Chance to collaborate with various teams, boosting networking and learning.
Cons
- Absence of explicit compensation details may deter some applicants.
- Entry-level position may not attract seasoned professionals.
- Remote work opportunities may vary based on specific team policies.
Who it's for
Early Career / Recent Grad • Remote/Flexible
Good fit
- Early career software engineers
- Recent graduates in computer science
- Tech enthusiasts wanting to work in AI/ML
Not recommended for
- Veterans seeking senior engineer roles
- Individuals preferring rigid corporate structures
- Job seekers averse to ML/AI fields.
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.
#LI-Remote
