Principle AI Safety Engineer: Technical Lead

Job Description

Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

The Role
The AV Safety Strategy and Assessment team is seeking a technical leader with extensive experience in the full end to end development lifecycle for artificial intelligence & machine learning. As the AI Safety Principal Engineer, you will need to stay current on industry best practices and standards and guide the develop of GM’s AI safety strategy. This technical leader role requires extensive programming and statistical techniques to both solve complex problems, provide safety guidance to the engineering development teams that are focused on AI/ML, and assess their work products.

If you're passionate about safety, driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.

As the AI/ML Safety Technical Lead, you will be responsible for working with our partners and customers to define safety strategies and targets for AI/ML based autonomous driving systems, understand their challenges and needs, collaborate on new machine learning solutions, assess the safety of existing production models and ML Ops in a cloud environment, collaborate on proof of concepts for new generative AI solutions as well as providing safety expertise and guidance to a team of AI/ML developers.

What You’ll Do

• Train new machine learning models to solve complex business problems.

• Enhance existing machine learning models to increase performance and adapt to our changing business landscape.

• Prototype new AI solutions, including Generative AI, to solve business problems.

• You provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.

• Build statistical models that depict company-wide trends.

• Perform testing and validation of data sets.

• Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes.

• Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Additional Job Description

Your Skills & Abilities

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

• 10 years of experience in machine learning, engineering, data science, or a related field

• Looking for Extensive Experience in the following:

  • Programming & Frameworks: Python, R, Java,  PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

  • Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

  • Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering

  • Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )

  • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

  • Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

• Proven track record providing technical leadership in AI/ML

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

• Masters Degree in Computer Science, Engineering, Mathematics or related field

• Extensive NLP solutions from business problem statement to deployment and ongoing optimization

• Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value

• Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value