Lead AI/ML Engineer

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

📋 Description

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

• Take full ownership of 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 reliable prompts and contribute to agentic workflows.

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

• Utilize AI to address challenges in manufacturing, supply chain, and physical operations.

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

• Partner with Vehicle Engineering, Manufacturing, and Operations to convert requirements into quantifiable AI systems.

• Report directly to the Distinguished Engineer of Generative AI.

⛳️ Requirements

• A PhD in a relevant field for early-career candidates, or at least 5 years of professional or research experience working directly with ML systems for those without a PhD.

• Proven capability to develop an end-to-end project, thesis, or production system.

• Fundamental understanding of model training, loss functions, evaluation metrics, overfitting, and regularization.

• Hands-on experience with supervised learning, NLP, computer vision, and time-series modeling.

• Knowledge of LLM APIs such as OpenAI, Anthropic, Gemini, or comparable technologies.

• Basic familiarity with RAG, embeddings, or retrieval systems.

• Ability to rigorously assess model quality.

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

• Capability to produce high-quality production code.

• Familiarity with AWS, GCP, or Azure at a functional level.

• Experience in version control, experiment tracking, and basic MLOps practices.

• A BS degree is required.

• Ability to communicate technical decisions effectively to non-technical stakeholders.

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

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

• Experience with computer vision, sensor data, or real-time systems is preferred.

• Familiarity with supply chain, logistics, or operations research challenges 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 equity program

• Eligibility for discretionary annual incentive program