AI/ML Engineer

Slate Auto

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

Posted 9/23/2026full-timeRemote • 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 systems, with a strong foundation in model training, evaluation, and practical experience in supervised learning and computer vision. Proficient in Python and familiar with cloud platforms, capable of translating complex technical requirements into actionable AI solutions.

Highest-signal resume keywords

End-To-End Project DevelopmentMachine Learning SystemsPython ProficiencyComputer Vision ExperienceFamiliarity with LLM APIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingLoss FunctionsEvaluation MetricsSupervised LearningNLPTime-Series ModelingRAG PipelinesData PipelinesProduction-Quality CodeExperiment Tracking

Soft Skills

Stakeholder CommunicationCollaboration

Tools & Technologies

PyTorchJAXHugging FacePandasScikit-LearnAWSGCPAzure

Certifications & Qualifications

PhD in Relevant FieldBS RequiredMS Preferred

Industry Keywords

AIMLManufacturingSupply ChainLogisticsComputer VisionPredictive MaintenanceSensor DataOperations ResearchSimulation Environments

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 features end-to-end and iterate based on production feedback
Build RAG pipelines and work with LLM APIs and open-source models
Design reliable prompts 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, and sensor data applications
Work on demand forecasting, inventory planning, supplier risk, and logistics problems
Collaborate with Vehicle Engineering, Manufacturing, and Operations
Translate organizational requirements into AI systems that produce measurable output
Report to the Distinguished Engineer of Generative AI

Requirements

What you’ll need

PhD in a relevant field is a strong foundation for early-career candidates, or 3+ years of professional or research experience working directly on ML systems for candidates without a PhD
Demonstrated ability to build an end-to-end project, thesis, or production system
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 at a working level
Version control, experiment tracking, and basic MLOps practices
BS required
MS or PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering, Mechanical Engineering, Industrial Engineering, or a related field preferred
Ability to explain technical decisions to non-technical stakeholders
Willingness to directly interact with stakeholders
Background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline valued
Exposure to computer vision, sensor data, or real-time systems valued
Familiarity with supply chain, logistics, or operations research problems valued
Experience with simulation environments or physical hardware in a research or lab setting valued

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Vacation
401k
Equity program eligibility
Discretionary annual incentive program eligibility
Reasonable accommodation for qualified individuals with disabilities