Senior Machine Learning Engineer

Key Skills

3D data processing, Computer Vision (CV), Data pipelines, Deep Learning, Effective communication skills, Machine learning techniques, Natural Language Processing (NLP), PyTorch, Scikit-learn, TensorFlow

Job Description

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.

What you'll need to succeed:

• 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 NumPy and Pandas
• Experience with Machine Learning / Deep Learning frameworks such as Scikit Learn, TensorFlow, 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. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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