Ifm Us

Machine Learning Engineer

Sunnyvale, CA

H1B sponsorship available$150k-$450kDetected 491 days ago

Data StructuresAlgorithmsMachine LearningDeep LearningTensorFlowData AnalysisNLPComputer VisionLLMsResearchCommunicationCollaborationProblem Solving

About the role

Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI's mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community.

Bachelor's degree or equivalent practical experience.
Minimum: Bachelor's degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with data structures or algorithms in either an academic or industry setting.
2 years of experience with improving performance during large scale data processing

Preferred: Master's degree or PhD in Computer Science or related technical field.
Professional Experience - Preferred

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Excellent problem-solving and troubleshooting skills to address complex technical challenges.
Effective communication and collaboration skills to work with cross functional teams.
Excellent data analysis skills.

Include *Comprehensive medical, dental, and vision benefits *Bonus *401K Plan *Generous paid time off, sick leave and holidays *Paid Parental Leave *Employee Assistance Program *Life insurance and disability
3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.

This listing is sourced directly from Ifm Us's careers page and normalized into a canonical job model.