AI/ML Engineer

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Develop and deploy AI/ML functionalities across data preparation, training or fine-tuning, evaluation, deployment, and monitoring.

• Take ownership of AI/ML features from inception to completion and refine them based on production insights.

• Construct RAG pipelines and collaborate with LLM APIs and open-source models.

• Create prompts for reliability and contribute to agentic workflows.

• Establish data pipelines, labeling workflows, and evaluation frameworks.

• Utilize AI for solving manufacturing, supply chain, and physical operations challenges.

• Engage in computer vision tasks related to quality inspection, predictive maintenance, sensor data analysis, demand forecasting, inventory management, supplier risk assessment, and logistics optimization.

• Partner with Vehicle Engineering, Manufacturing, and Operations teams to translate requirements into AI systems that deliver measurable results.

• Report to the Distinguished Engineer of Generative AI.

⛳️ Requirements

• A PhD in a relevant field or equivalent demonstrated experience through project work, research, or professional practice for early-career candidates, or a minimum of 3 years of professional or research experience focused on ML systems without a PhD.

• A Bachelor's degree is required.

• A foundational understanding of ML concepts including 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 knowledge of RAG, embeddings, or retrieval systems.

• Capability to rigorously assess model quality.

• Proficiency in Python, with experience in PyTorch or JAX, Hugging Face, pandas, and scikit-learn.

• Ability to produce high-quality production code.

• Familiarity with cloud platforms like AWS, GCP, or Azure.

• Experience with version control, experiment tracking, and fundamental MLOps practices.

• Proven ability to execute an end-to-end project, thesis, or production system.

• Strong communication skills to articulate technical decisions to non-technical stakeholders and collaborate effectively with them.

• An MS or PhD in a related field is preferred.

• A background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline is preferred.

• Exposure to computer vision, sensor data, or real-time systems is preferred.

• Familiarity with supply chain, logistics, or operations research issues is preferred.

• Experience with simulation environments or physical hardware is preferred.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Disability insurance

• Vacation

• 401k

• Eligibility for an equity program

• Eligibility for a discretionary annual incentive program