Principle AI Safety Engineer: Technical Lead

General Motors; United States; Remote; USD 193,000 - 297,000; Full time

Job summary

A leading company is seeking an AI Safety Principal Engineer to guide the development of their AI safety strategy. This remote role requires extensive experience in AI/ML, programming, and statistical methods. The successful candidate will lead projects that enhance safety in autonomous driving systems, collaborating with various teams to develop innovative solutions. Join a dynamic team and contribute to impactful projects driving innovation in safety and technology.

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Tuition Assistance

Employee Assistance

Vehicle Discounts

Qualifications

• 10 years of experience in machine learning, engineering, or data science.
• Proven track record in providing technical leadership in AI/ML.

Responsibilities

• Train and enhance machine learning models to solve complex problems.
• Prototype new AI solutions and provide statistical guidance.

Skills

Programming

Statistical Methods

Problem-Solving

Education

Bachelor's degree in Computer Science

Masters Degree in relevant fields

Tools

Python

R

TensorFlow

SQL

Databricks

MLflow

Tableau

Job description

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 development of GM's AI safety strategy. This technical leader role requires extensive programming and statistical techniques to solve complex problems, provide safety guidance to the engineering teams 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 work with 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, and provide safety expertise and guidance to a team of AI/ML developers.

What You'll Do

1. Train new machine learning models to solve complex business problems.
2. Enhance existing machine learning models to increase performance and adapt to changing business needs.
3. Prototype new AI solutions, including Generative AI, to address business challenges.
4. Provide guidance on business problems using statistical methods and craft ad-hoc reports to share findings and recommendations with business partners.
5. Build statistical models to depict company-wide trends.
6. Perform testing and validation of data sets.
7. Determine the meaning of data and explain how teams and leaders can leverage it to improve processes.
8. Maintain structured documentation and data, utilizing a large toolset of statistical methodologies to solve business problems.

Additional Notes

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

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
• Extensive experience in:

• Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
• Machine Learning & AI: LLMs, Generative AI, RAG, Deep Learning, Reinforcement Learning, 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, ML, Databricks); Nice to Have: AWS (S3, SageMaker, Bedrock), Google Cloud (BigQuery, Dataflow, AI Platform)
• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker, Kubernetes, GitHub, Jira
• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

Proven track record in providing technical leadership in AI/ML, excellent communication and collaboration skills, strong problem-solving mindset, and proactive attitude are essential.

Preferred Qualifications

• Masters Degree in relevant fields
• Extensive NLP solutions from problem statement to deployment and optimization
• Expertise with LLM solutions delivering business value
• Experience with deploying generative AI solutions in production
• Leadership experience in data science teams

Compensation

• Base salary: $193,600 - $296,600 USD annually
• Range varies based on factors
• Bonus potential based on performance

Benefits

GM offers health, wellbeing, retirement, and other benefits, including medical, dental, vision, HSA, FSA, tuition assistance, employee assistance, vehicle discounts, and more.

About GM

Our vision: Zero Crashes, Zero Emissions, Zero Congestion. We embrace responsibility to lead change for a better, safer, more equitable world.

Why Join Us

We foster inclusion, belonging, and diversity, aiming for every employee to thrive and create better products.

Total Rewards | Benefits Overview

From day one, GM supports your well-being at work and home. Learn more about our rewards and benefits resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

GM is committed to a discrimination-free, inclusive workplace where employment decisions are made without bias, respecting all protected classes.

Interested candidates are encouraged to review role responsibilities and qualifications, and apply accordingly. Pre-employment assessments and screenings may be required.

Accommodations (U.S. and Canada)

GM provides accommodations for individuals with disabilities. Contact [e-mail] or call 800-865-7580 for assistance, including specific accommodation requests and job details.