Machine Learning Software Developer

Responsibilities

• Deploy and optimize AI models on vehicle system-on-chip hardware using quantization, pruning, distillation, and CPU, GPU, and NPU acceleration.
• Integrate inference into Android Automotive OS through system services, native C++, JNI, camera, audio, and vehicle-signal interfaces.
• Build cloud training pipelines and MLOps workflows covering data ingestion, curation, training, evaluation, registries, drift monitoring, and privacy-preserving data handling.
• Develop computer vision, speech, personalization, predictive, language-model, and vision-language features for in-vehicle experiences.
• Build LLM-backed applications and agents using retrieval, tool and function calling, guardrails, and measurable evaluation.
• Research AI/ML technologies, create proofs of concept, publish benchmarks, and contribute across the software lifecycle through production monitoring.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• At least 4 years of professional software engineering experience, including production AI/ML development from model development through deployment and monitoring.
• Hands-on experience with model optimization and deployment on embedded or mobile NPUs using technologies such as TensorFlow Lite, ONNX Runtime, or SoC vendor SDKs.
• Strong Python and C++ skills, Git experience, and disciplined testing and benchmarking practices.
• Experience with ML training pipelines and MLOps, including data versioning, CI/CD for ML, model registries, and drift monitoring.
• Preferred experience includes computer vision, speech and audio, multimodal ML, LLM/VLM fine-tuning and evaluation, retrieval-augmented generation, quantization-aware training, and inference profiling.
• Preferred experience includes Google Cloud Platform and Vertex AI, Kubernetes, Docker, workflow orchestration, distributed training, experiment tracking, and agent frameworks such as Google ADK, LangChain, or LangGraph.
• Preferred experience includes Android Automotive OS, Android system services or NDK, ADAS or IVI programs, QNX, hypervisor-based systems, ISO 26262, ISO/SAE 21434, and privacy-preserving data handling.
• Publications, open-source contributions, an advanced degree, strong communication, and cross-functional alignment skills are advantageous.
• Candidates must be legally entitled to work in Canada and must provide proof of degree completion; foreign degrees require a Canadian equivalency assessment.

Benefits

• Expected annual salary range is CAD 96,000.00–146,000.00, with potential eligibility for an annual compensation bonus program.
• Hybrid position requiring onsite work four or more days per week.
• Ford of Canada is an equal opportunity employer and provides disability accommodations during recruitment and assessment upon request.
• The company does not sponsor work permit applications for this position.