Data Scientist (Computer Vision & Machine Learning)

Irvine, CA, United States

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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on TwitterFacebookInstagramYouTube and LinkedIn

Job Description

Clinical Innovation at Allergan Aesthetics an AbbVie company is a forward-thinking unit specializing in advanced visual prototyping, leveraging AI and machine learning to drive innovation. Our team is committed to developing state-of-the-art computer vision applications that push the boundaries of automation, analytics, and intelligence.


Job Description:
We are seeking a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The ideal candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. You will work closely with a team of data scientists, engineers, and researchers to build, optimize, and deploy machine learning models for real-world applications.


Key Responsibilities:
•    Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks.
•    Implement and fine-tune machine learning algorithms for structured and unstructured data analysis.
•    Preprocess and augment image/video datasets to improve model accuracy and robustness.
•    Work with frameworks such as TensorFlow, PyTorch, and OpenCV to build scalable models.
•    Assist in deploying models to production environments, including cloud and edge computing platforms.
•    Conduct data analysis and visualization to derive insights and guide model development.
•    Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products.
•    Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning.
 

Qualifications

•    Bachelor's or master’s degree in computer science, Data Science, AI, or a related field.
•    Minimum of 1 year of professional experience in data science, data engineering, or statistical analysis role
•    Solid understanding of machine learning concepts, neural networks, and deep learning architectures.
•    Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, OpenCV, and Scikit-Learn.
•    Hands-on experience in training and optimizing computer vision models.
•    Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics.
•    Experience with cloud computing platforms (AWS, Google Cloud, or Azure) is a plus.
•    Strong problem-solving skills and the ability to work in a fast-paced environment.
•    Excellent communication and teamwork skills.

 

Preferred Qualifications:
•    2 or more years of professional experience in a data science, data engineering, or statistical analysis role
•    Experience with edge AI deployment and model optimization techniques.
•    Knowledge of traditional computer vision techniques (e.g., feature extraction, image filtering, geometric transformations).
•    Exposure to MLOps and tools for model deployment and monitoring.
 

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

  • This job is eligible to participate in our short-term incentive programs. ​

  • This job is eligible to participate in our long-term incentive programs​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html 

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Classification Computer Science Computer Vision Data analysis Deep Learning Engineering GCP Google Cloud Machine Learning ML models MLOps Model deployment OpenCV Prototyping Python PyTorch Research Scikit-learn Statistics TensorFlow Unstructured data

Perks/benefits: Career development Health care Insurance Salary bonus

Region: North America
Country: United States

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