Applied Scientist, ML/Applied Scientist, ML

About the Role:

The Sama R&D team is focused on delivering integrated solutions solving the most complex ML problems for our customers. We use advanced practices to build scalable, secure, and efficient solutions covering multiple aspects of ML and AI, from data ingestion to annotation and building and operating ML models.

As an Applied ML Scientist, you will work with our team of talented Researchers, Engineers, and over 3,000 of our Annotation Associates in East Africa to advance the Sama annotation platform, empowering our customers and Annotators to rapidly and accurately identify and extract features in images, videos, and Lidar systems. With a commitment to your customer and driven by a mission to expand opportunities for low-income people, you will use your outstanding research and development skills to deliver compelling solutions in an incremental, lean, and self-driven environment.

Our ideal candidate has a strong expertise in machine learning and computer vision, from prototyping to productization. As part of our AI team, you will play a key role in improving the core ML technology powering our advanced data curation and annotation platform.

Responsibilities

• You will be responsible for developing and productizing our technology to analyze, characterize and process images, videos, and Lidar point clouds.
• You will drive forward our computer vision and machine learning technology offering, from research to productization
• Through proper implementation and delivery, you will work collaboratively with Product Management and other ML scientists and engineers to deliver the best products and solutions to our customers.

Minimum qualifications

• Postgraduate degree in Computer Science, Electrical Engineering, or related field.
• Research experience in machine learning, computer vision, or image processing.
• Experience with data annotation and preparation.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.

Preferred qualifications

• Contribution to research communities and/or efforts, including publishing papers at conferences such as NeurIPS, ICML, CVPR, ICLR, etc.
• Familiarity with cloud Infrastructure (AWS, GCP, Azure).
• Comfortable working with a distributed team.

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Job Description:

The Sama R&D team delivers integrated solutions answering to the most complex machine learning problems for our clients. We use cutting-edge practices to build scalable, safe, and efficient solutions covering multiple aspects of machine learning and artificial intelligence, from data ingestion to annotation, from the development to the operation of machine learning models.

As an Applied Research Scientist, you will work with our talented team of scientists, engineers, and more than 3000 annotation agents based in East Africa to advance the Sama annotation platform and enable our clients and annotators to quickly and accurately identify and extract features from images, videos, and Lidar systems. Always committed to your clients and dedicated to creating opportunities for low-income individuals, you will use your exceptional scientific research skills to deliver effective solutions in an incremental, lean, and autonomous environment.

The ideal candidate for this position has a solid expertise in machine learning and computer vision, from prototype creation to product launch. Within our AI team, you will play a key role in improving the ML technology that powers our data selection and annotation platform.

Responsibilities:

• You will be responsible for the development and productization of our technology that analyzes, characterizes and processes images, videos and Lidar systems.
• You will lead the development of our technology offering in computer vision and machine learning, from research to product launch.
• Relying on appropriate implementation and delivery practices, you will collaborate with the Product Management team and other machine learning researchers and engineers to deliver the best products and solutions to our clients.

Required Qualifications:

• Postgraduate degree in Computer Science, Electrical Engineering or a related field.
• Research experience in machine learning, computer vision or image processing.
• Experience in data annotation and preparation.
• Experience with deep learning libraries, such as TensorFlow or PyTorch.

Assets:

• Contributions to the scientific community and/or publications in conferences such as NeurIPS, ICML, CVPR, ICLR, etc.
• Familiarity with cloud infrastructure (AWS, GCP, Azure).
• Comfortable working within a distributed team.