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Slate Auto
Slate Auto
201 – 500 कर्मचारी
H1B वीज़ा प्रायोजकऑटोमोटिवपरिवहनविनिर्माण
Slate Auto एक ऑटोमोटिव निर्माता है, जो एक सरल और अनुकूलन योग्य इलेक्ट्रिक वाहन विकसित कर रही है। इसे पिकअप ट्रक या फास्टबैक SUV, दोनों रूपों में उपयोग किया जा सकता है। कंपनी अपने ऑनलाइन Slate Maker कॉन्फिगरेटर और आरक्षण मॉडल के माध्यम से सीधे उपभोक्ताओं को वाहन बेचती है, जबकि एक एक्सेसरीज़ मार्केटप्लेस मालिकों को अपने वाहनों को निजी पसंद के अनुसार ढालने और अपग्रेड करने की सुविधा देता है। इसका दृष्टिकोण व्यावहारिक डिज़ाइन, किफायती कीमत, एकीकृत चार्जिंग विकल्पों और तृतीय-पक्ष सर्विस तथा चार्जिंग नेटवर्क के साथ साझेदारियों को जोड़कर इलेक्ट्रिक वाहन स्वामित्व को सरल बनाने पर केंद्रित है।
LinkedIn
कंपनी की नौकरियाँ

AI/ML Engineer - Slate Auto (Remote, Michigan)

Build production generative AI, computer vision, and data systems for Slate Auto’s customizable vehicles. Apply machine learning across manufacturing, supply chain, and physical operations.

USसंयुक्त राज्यMIमिशिगन
$1,23,339 – $1,85,009 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियर
AWSAzureGoogle Cloud PlatformPandasPythonPyTorchScikit-Learn

विवरण

  • Develop and deliver machine learning features spanning data preparation, model training or fine-tuning, evaluation, deployment, and monitoring.
  • Take ownership of AI/ML capabilities from development through production, improving them with operational feedback.
  • Create retrieval-augmented generation pipelines using commercial LLM APIs and open-source models.
  • Develop reliable prompting approaches and support agent-based workflows.
  • Create data pipelines, annotation processes, and model evaluation frameworks.
  • Use AI to address challenges in manufacturing, supply chain, and physical operations.
  • Develop computer vision and machine learning solutions for inspection, predictive maintenance, sensor data, demand forecasting, inventory planning, supplier risk, and logistics.
  • Partner with Vehicle Engineering, Manufacturing, and Operations to turn business requirements into AI systems with measurable results.
  • Report to the Distinguished Engineer of Generative AI.

आवश्यकताएँ

  • PhD in a relevant field with equivalent demonstrated depth through project work, research, or professional experience for early-career candidates, or at least 3 years of professional or research experience working directly on ML systems without a PhD.
  • Bachelor’s degree required.
  • Understanding of core machine learning concepts, including model training, loss functions, evaluation metrics, overfitting, and regularization.
  • Practical experience with supervised learning, natural language processing, computer vision, and time-series modeling.
  • Familiarity with LLM APIs such as OpenAI, Anthropic, or Gemini.
  • Basic exposure to retrieval-augmented generation, embeddings, or retrieval systems.
  • Ability to assess model quality rigorously.
  • Proficiency in Python and experience with PyTorch or JAX, Hugging Face, pandas, and scikit-learn.
  • Ability to write production-quality software.
  • Familiarity with AWS, Google Cloud Platform, or Azure.
  • Experience with version control, experiment tracking, and foundational MLOps practices.
  • Evidence of completing an end-to-end project, thesis, or production system.
  • Ability to explain technical decisions to non-technical stakeholders and work directly with stakeholders.
  • Master’s 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.

लाभ

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Vacation
  • 401(k)
  • Eligibility for the equity program
  • Eligibility for a discretionary annual incentive program

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