Senior Machine Learning Engineer

What you will do:

• Collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training.
• Write high quality, product level code that is easy to maintain and test following standard methodologies.
• Design and implement reusable and scalable data loading framework that supports video and audio foundational model training in large-scale and distributed environments.
• Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of the cutting-edge ML models.
• Keep track of the latest innovation in academia and open-source community to implement rapid adoption of pioneering technologies to improve the performance of the ML platform.

• S., M.S, or Ph.D. in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or a related area, with 7+ years related experience
• Strong fundamentals in Machine Learning / Computer Vision / Natural Language Processing
• Experience building machine learning models in a product environment
• Experience in data processing and scientific computing tools such as Num Py and Pandas
• Experience with Machine Learning / Deep Learning frameworks such as Scikit Learn, Tensor Flow, Pytorch
• Excellent communication skills and growing mindset

FireflyGenAI

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $150,700 -- $284,400 annually. Paywithin this range varies by work location and may also depend on job-related knowledge, skills,& experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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