Lead ML/AI Engineer
Toyota North AmericaResponsibilities
- Design, build, and maintain end-to-end ML pipelines from data ingestion and feature engineering through training, evaluation, deployment, and monitoring.
- Integrate large language models into product features using prompt engineering, retrieval-augmented generation, and agent-based patterns.
- Select and apply foundation models through Amazon Bedrock, custom training through SageMaker, classical ML, or hybrid approaches.
- Own ML features from design through deployment, including testing, observability, and post-launch monitoring.
- Contribute technical proposals and tradeoff analysis for ML architecture and tooling decisions.
- Debug ML systems, including training instability, data pipeline failures, inference latency, and model drift.
- Write production-quality ML code and participate in code reviews.
- Mentor junior and mid-level engineers through pairing, reviews, and knowledge sharing.
- Collaborate with Product, Data Science, and Front-End/Backend Engineering teams on AI-powered features.
- Address data quality gaps, model reliability issues, and ML-specific technical debt.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
- At least 5 years of software engineering experience, including 2–4 years focused on production ML/AI.
- Knowledge of supervised and unsupervised learning, deep learning architectures, optimization, and evaluation methodologies.
- Hands-on experience with large language models, prompt engineering, RAG pipelines, embedding models, vector databases, and agent frameworks such as LangChain or LlamaIndex.
- Experience with AWS AI/ML services and related data, orchestration, event-driven, storage, and vector-search services.
- Strong proficiency in Python and production-quality ML development.
- Experience with PyTorch, TensorFlow, or JAX, plus Hugging Face Transformers, scikit-learn, and XGBoost.
- Familiarity with MLOps practices, experiment tracking, model registries, and CI/CD for ML workflows.
- Experience with ETL pipelines, feature stores, data validation, and structured and unstructured data.
- Understanding of Infrastructure as Code using AWS CDK, CloudFormation, or Terraform.
- Experience monitoring ML systems, including model performance, data drift, and alerting.
- Clear communication skills for discussing model tradeoffs and technical decisions.
- Preferred qualifications include a master's degree, financial services experience, responsible AI experience, NLP, real-time inference optimization, containerized ML workloads, computer vision or multimodal systems, GraphQL or API gateway patterns, AWS certifications, and open-source ML contributions.
Benefits
- Team-oriented, flexible, and respectful work environment.
- Professional growth and development programs, including tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program where applicable.
- Comprehensive health care and wellness plans for the employee's family.
- Toyota 401(k) Savings Plan with company match and an annual retirement contribution where applicable.
- Paid holidays and paid time off.
- Referral services for prenatal services, adoption, childcare, schools, and related needs.
- Tax-advantaged Health Savings Account, Health Care FSA, and Dependent Care FSA.
- Relocation assistance where applicable.
Tech Stack
Categories
About Toyota North America
Mundialmente, a Toyota construiu, ao longo de mais de 80 anos, um modelo de negócio reconhecido por suas bases de eficiência e busca contínua da produtividade, movida pela ambição de colaboradores aptos a oferecer soluções de mobilidade cada vez melhores às pessoas. No Brasil, em mais de 65 anos de história, a marca consolidou-se ao construir um legado pautado na busca incansável pela melhoria contínua de processos, estratégias, produtos e serviços, além de solidificar cada relacionamento no decorrer dos anos pelo viés do Respeito pelas Pessoas e Contribuição com a Sociedade – valores transversais da cultura da corporação. Aqui no País, a subsidiária da Toyota mantém ativamente três unidades produtivas: Indaiatuba, Sorocaba e Porto Feliz (todas localizadas no Estado de SP), e orgulha-se por deter o título de primeira operação fora do Japão, quando iniciou atividades no município de São Bernardo do Campo, em meados de 1962. Para mover este legado adiante, a empresa conta com 6.000 colaboradores, sempre aptos a vencer desafios do cotidiano do setor e aprimorar competências que são fundamentais para o surgimento de talentos fundamentais para o futuro da companhia no Brasil.