Lead MLAI Engineer

Overview

Who we are

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other workauthorization for this role now or in the future. You must have the right to work in the United States and not requireToyota support or sponsorship for immigration-related employment (e.g. H-1B O-1 E-3 H-1B1 TN F-1 OPT F-1 STEM OPT F-1 CPT job flexibility benefits also known as I-140 or Adjustment of Status portability etc.) now or in thefuture. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorshipnow or in the future.

Who were looking for

At TFS were building next-generation products that redefine mobility for millions of customers worldwide. Were looking for a Lead Engineer in ML/AI an individual contributor who combines strong machine learning fundamentals with the engineering discipline to ship production-grade intelligent systems on AWS.

Youre past the point of running experiments in notebooks. You think end-to-end: from data and model design to deployment and monitoring and you help the team move faster by raising the quality and reliability of every ML system you touch. Youre starting to shape technical direction not just execute it and youre ready to be the go-to person on your team for applied AI.

What youll be doing

• Design build and maintain end-to-end ML pipelines from data ingestion and feature engineering to model training evaluation deployment and monitoring
• Lead the integration of large language models into product features including prompt engineering retrieval-augmented generation (RAG) and agent-based patterns
• Select and apply the right approach for each problem: foundation models viaAmazon Bedrock custom training onSageMaker classical ML or hybrid approaches
• Take ownership of ML features from design through deployment including testing observability and post-launch monitoring
• Participate actively in technical design discussions contributing well-reasoned proposals and tradeoff analysis across ML architecture and tooling choices
• Debug and troubleshoot complex issues across ML systems from training instabilities and data pipeline failures to inference latency and model drift
• Write clean production-quality ML code and hold a high bar in code reviews
• Mentor junior and mid-level engineers through pairing code reviews and knowledge sharing on ML/AI topics
• Collaborate with Product Data Science and Front-End/Backend Engineering teams to deliver AI-powered features
• Identify and address data quality gaps model reliability issues and ML-specific tech debt proactively

What you bring

• Bachelors degree in Computer Science Machine Learning Statistics or related field or equivalent practical experience
• 5 years of software engineering experience including 24 years focused on ML/AI in production
• Solid understanding ofmachine learning fundamentals: supervised and unsupervised learning deep learning architectures (transformers CNNs RNNs) optimization techniques and evaluation methodologies
• Hands-on experience withlarge language models: prompt engineering RAG pipelines embedding models vector databases and agent frameworks (LangChain LlamaIndex or similar)
• Experience working withAWS AI/ML services including: Amazon Bedrockfor foundation model access and knowledge bases orAmazon SageMakerfor model training hosting and MLOps pipelinesLambdaandStep Functionsfor orchestrating inference workflowsS3for data storage and model artifact managementEventBridgeSQS orSNSfor event-driven ML pipelinesOpenSearchor similar for vector search and semantic retrieval
• Strong proficiency inPython you write production-quality ML code not just notebooks
• Experience with core ML frameworks:PyTorchTensorFlow orJAX and libraries like Hugging Face Transformers scikit-learn and XGBoost
• Familiarity withMLOps practices: experiment tracking (MLflow W&B) model registries and CI/CD for ML workflows
• Experience withdata engineeringfundamentals: ETL pipelines feature stores data validation and working with structured and unstructured data
• Understanding ofInfrastructure as CodeusingAWS CDK CloudFormation or Terraform for ML infrastructure
• Experience withobservability and monitoringfor ML systems: model performance tracking data drift detection and alerting
• Clear communicator comfortable discussing model tradeoffs and technical decisions with teammates and stakeholders

Added bonus if you have

• Masters degree in Machine Learning AI Computer Science Statistics or related field
• Experience in the financial services banking or insurance industry
• Experience withresponsible AI: fairness metrics bias detection explainability (SHAP LIME) and model governance
• Familiarity withNLPbeyond LLMs (named entity recognition document understanding OCR)
• Exposure toreal-time inferenceoptimization: quantization distillation ONNX or latency-sensitive serving
• Experience withcontainerized ML workloads(ECS Fargate Docker) for training and serving
• Exposure tocomputer visionormulti-modalarchitectures combining text image and structured data
• Familiarity withGraphQLor API gateway patterns for exposing ML services to backend consumers
• AWS certifications (Machine Learning Specialty Developer Associate or Cloud Practitioner)
• Experience contributing to open-source ML projects

What well bring
During your interview process our team can fill you in on all the details of our industry-leading benefits and careerdevelopment opportunities. A few highlights include:
A work environment built on teamwork flexibility and respect
Professional growth and development programs to help advance your career as well as tuition reimbursement
Team Member Vehicle Purchase Discount
Toyota Team Member Lease Vehicle Program (if applicable)
Comprehensive health care and wellness plans for your entire family
Toyota 401(k) Savings Plan featuring a company match as well as an annual retirement contribution from Toyotaregardless of whether you contribute (if applicable)
Paid holidays and paid time off
Referral services related to prenatal services adoption childcare schools and more
Tax Advantaged Accounts (Health Savings Account Health Care FSA Dependent Care FSA)
Relocation assistance (if applicable)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.

Applicants for our positions are considered without regard to race ethnicity national origin sex sexual orientation gender identity or expression age disability religion military or veteran status or any other characteristics protected by law.

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