Note: The job is a remote job and is open to candidates in USA. Sustainable Talent is partnering with Nvidia, a global leader in computer graphics and accelerated computing. They are seeking a Machine Learning Engineer focused on AI Safety to work with NVIDIA’s research and engineering teams, assessing and improving the safety and inclusivity of LLM models.
Responsibilities
- Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt
- Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more
- Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems
- Define and track key metrics for responsible LLM behavior and usage
- Follow the best practices of automation, monitoring, scale, safety
- Contribute to our repositories and develop safety tools to help ML teams be more effective
- Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets
- Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance
- Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions
Skills
- Bachelor's or Master's Degree in Computer Science or related field or equivalent experience
- 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions
- Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn
- Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas
- Deep understanding of machine learning algorithms, statistical models, and data structures
- Familiarity with software development practices and version control systems (e.g., Git)
- Good at problem solving and analytical ability
- Excellent collaboration and communication skills
- Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness
- Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application
- Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
- Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance
- Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience
Benefits
- Full benefits
- PTO
- Amazing company culture
- Remote/ hybrid work options
Company Overview