Sustainable Talent

AI & Machine Learning Engineer

Santa Clara, CA · Contract

Sponsorship not specifiedDetected 23 hours ago

AlgorithmsGitMachine LearningDeep LearningTensorFlowPyTorchNumPyData AnalysisData EngineeringData ScienceNLPLLMsCybersecurityControlsResearchCommunicationCollaborationProblem Solving

About the role

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.
This is a full-time (W-2) contract role.
As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning 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.
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.
We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit.

Requirements

Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
Familiarity with software development practices and version control systems (e.g., Git).
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 multimodal and/or multilingual Content Safety, legal and regulatory compliance.

Benefits

Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
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.
Deep understanding of machine learning algorithms, statistical models, and data structures.

Company info

Ways to stand out from the crowd:
Let's make a difference together!
We are looking for Generative AI Security Engineer to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options.
We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

Equal opportunity

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

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