Senior AI Engineer

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 100000 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.

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About the Role:

As a Software Engineer ML Perception you will be part of a passionate team whose mission is to bring intelligence to the worlds trucks. The team is focused on building technology to understand driving behavior identify risk factors and intelligently suggest coachable events that improve fleet safety and potentially save millions of dollars while making roads safer.

You will have a unique opportunity to work with a high-caliber and fast-paced team of experienced researchers and engineers in Computer Vision Machine Learning Deep Learning and Robotics with a track record of previous products and top-tier publications. You will play a critical role in building and improving technology used by millions of trucks.

In this role you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing implement cloud services and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infrastructure that facilitates large amounts of data to train test and validate computer vision systems.

What Youll Do:

• Evaluate and improve the performance of existing models and algorithms in production
• Conduct research and execute experiments to build new AI models and algorithms
• Build and optimize CV/ML algorithms for real-time performance on embedded platforms (next-gen AI dashcam)
• Write proficient Python and C code to build and improve CV algorithms ML services training model compression and porting pipelines
• Convert state-of-the-art research prototypes into reliably working product features
• Collaborate with cross-functional teams (Embedded Backend Frontend Hardware QA and the broader AI team) to ensure robust and sustainable AI systems
• Solve challenging object detection segmentation recognition and geometric computer vision problems
• Build automated deployment validation and active learning pipelines
• Mentor junior engineers and provide technical leadership on complex projects

What Were Looking For:

• Bachelors Degree in Computer Science Electrical Engineering or related field. Masters or Ph.D. is a strong plus.
• 5 years of algorithm development experience in Computer Vision Deep Learning and Machine Learning
• Solid mathematical foundation in Computer Vision Deep Learning Machine Learning and optimization approaches
• Hands-on experience with training frameworks and tools (PyTorch TensorFlow)
• Strong experience in Python or C
• Hands-on experience building embedded algorithms and applications
• Experience with AWS (SageMaker Lambda EC2 S3 RDS) CI/CD Terraform Docker and Kubernetes is a plus
• Prior experience optimizing and deploying ML models on embedded devices is a strong plus

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

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

All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.