Senior AI/ML Engineer

Slate Auto

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

Posted 9/24/2026full-timeRemote • Nevada • United StatesSenior💰 $141,807 - $212,710 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 machine learning principles and practical experience in supervised learning, NLP, and computer vision. Capable of collaborating across engineering disciplines to translate requirements into effective AI systems while ensuring production-quality code and rigorous model evaluation.

Highest-signal resume keywords

Machine Learning SystemsPython ProficiencySupervised LearningLLM APIsData Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingLoss FunctionsEvaluation MetricsOverfittingRegularizationComputer VisionTime-Series ModelingRAG PipelinesExperiment TrackingProduction-Quality Code

Soft Skills

CollaborationCommunication

Tools & Technologies

PyTorchJAXHugging FacePandasScikit-LearnAWSGCPAzure

Certifications & Qualifications

BSMSPhD

Industry Keywords

Supply ChainLogisticsOperations ResearchMechanical EngineeringElectrical EngineeringRoboticsIndustrial EngineeringSensor DataPredictive MaintenanceQuality Inspection

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 prompts for reliability and contribute to agentic workflows
Build data pipelines, labeling workflows, and evaluation frameworks
Apply AI to manufacturing and supply chain operations, including 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 measurable AI systems
Write code, run experiments, and ship production systems
Work directly with stakeholders to build products without needing a product manager
Report to the Distinguished Engineer of Generative AI

Requirements

What you’ll need

BS required
PhD in a relevant field is a strong foundation for early-career candidates
Candidates without a PhD should bring 3+ years of professional or research experience working directly on ML systems
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, Gemini, or similar
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
Background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline is valued
Exposure to computer vision, sensor data, or real-time systems is valued
Familiarity with supply chain, logistics, or operations research problems is valued
Experience with simulation environments or physical hardware in a research or lab setting is valued
MS or PhD in a related field preferred
Ability to collaborate across disciplines and explain technical decisions to non-technical stakeholders

Benefits

Comp & perks

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