AI/ML Engineer

Slate Auto

. Build and ship AI/ML features across data preparation, training or fine-tuning, evaluation, deployment, and monitoring .

Posted 10/5/2026full-timeRemote • Michigan • United StatesMid-LevelSenior💰 $123,339 - $185,009 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI/ML features, with a strong foundation in model training, evaluation, and practical experience in supervised learning and computer vision. Capable of collaborating across engineering disciplines to translate complex requirements into effective AI systems.

Highest-signal resume keywords

PhD In Relevant Field Or 3+ Years ExperiencePython Proficiency With PyTorch Or JAXExperience With Supervised Learning And Computer VisionFamiliarity With LLM APIs Such As OpenAIAbility To Build End-To-End AI/ML Projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingLoss FunctionsEvaluation MetricsSupervised LearningNLPComputer VisionTime-Series ModelingRAG PipelinesData PipelinesProduction-Quality Code

Soft Skills

Ability To Explain Technical DecisionsCollaboration With Stakeholders

Tools & Technologies

AWSGCPAzureHugging FacePandasScikit-LearnVersion ControlExperiment TrackingMLOps Practices

Certifications & Qualifications

MS Or PhD In Related Field Preferred

Industry Keywords

AIMLManufacturingSupply ChainLogisticsQuality InspectionPredictive MaintenanceSensor DataOperations ResearchReal-Time Systems

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPandasPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

Build and ship AI/ML features across data preparation, training or fine-tuning, evaluation, deployment, and monitoring
Own AI/ML features end-to-end and iterate based on production feedback
Build RAG pipelines and work with LLM APIs and open-source models
Design prompts for reliability and contribute to agentic workflows
Build data pipelines, labeling workflows, and evaluation frameworks
Apply AI to manufacturing, supply chain, and physical operations problems
Work on computer vision for quality inspection, predictive maintenance, sensor data, demand forecasting, inventory planning, supplier risk, and logistics
Collaborate with Vehicle Engineering, Manufacturing, and Operations to translate requirements into AI systems producing measurable output
Report to the Distinguished Engineer of Generative AI

Requirements

What you’ll need

PhD in a relevant field plus equivalent demonstrated depth through project work, research, or professional experience for early-career candidates, or 3+ years of professional or research experience working directly on ML systems without a PhD
BS required
Foundational understanding of ML: model training, loss functions, evaluation metrics, overfitting, and regularization
Practical experience with supervised learning, NLP, computer vision, and time-series modeling
Familiarity with LLM APIs such as OpenAI, Anthropic, or Gemini
Basic exposure to RAG, embeddings, or retrieval systems
Ability to evaluate model quality rigorously
Python proficiency with PyTorch or JAX, Hugging Face, pandas, and scikit-learn
Ability to write production-quality code
Familiarity with AWS, GCP, or Azure
Version control, experiment tracking, and basic MLOps practices
Demonstrated ability to build an end-to-end project, thesis, or production system
Ability to explain technical decisions to non-technical stakeholders and work directly with stakeholders
MS or PhD in a related field preferred
Background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline preferred
Exposure to computer vision, sensor data, or real-time systems preferred
Familiarity with supply chain, logistics, or operations research problems preferred
Experience with simulation environments or physical hardware preferred

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Vacation
401k
Equity program eligibility
Discretionary annual incentive program eligibility